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		<title>Club MEG</title>
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		<updated>2026-03-03T14:52:53Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Previous Tutorials and Training */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;01/**/2026&#039;&#039;&#039;&lt;br /&gt;
** Prabhakar Eedara - Avalanche Based Connectivity Assessment in Epilepsy Subjects&lt;br /&gt;
* &#039;&#039;&#039;08/29/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;TBD&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*Allison Nugent&lt;br /&gt;
*Stephen Robinson&lt;br /&gt;
*Anna Namyst&lt;br /&gt;
*Jeff Stout&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;Advanced Topics Short Course Part 2&#039;&#039;&lt;br /&gt;
**Naturalistic Viewing Analysis&lt;br /&gt;
**Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1, FAES Room 6 - https://github.com/nih-megcore/NIH_MEG_Workshop_AdvancedTopics&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (03/03/2026) - GUI based trigger processing script to encode events into data&lt;br /&gt;
**[https://megcore.nih.gov/MEG/trigger_processing_GUI_pres_030226.mp4 TriggerProcessingScriptGUI]&lt;br /&gt;
* Jeff Stout (01/28/2026) - Easy Data Visualization and BIDS creator tool (Graphical interface for mne_bids conversion)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/MEG_BIDS_conversion_package.mp4 GUI]&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5899</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5899"/>
		<updated>2026-01-28T21:44:58Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Previous Tutorials and Training */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;01/**/2026&#039;&#039;&#039;&lt;br /&gt;
** Prabhakar Eedara - Avalanche Based Connectivity Assessment in Epilepsy Subjects&lt;br /&gt;
* &#039;&#039;&#039;08/29/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;TBD&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*Allison Nugent&lt;br /&gt;
*Stephen Robinson&lt;br /&gt;
*Anna Namyst&lt;br /&gt;
*Jeff Stout&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;Advanced Topics Short Course Part 2&#039;&#039;&lt;br /&gt;
**Naturalistic Viewing Analysis&lt;br /&gt;
**Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1, FAES Room 6 - https://github.com/nih-megcore/NIH_MEG_Workshop_AdvancedTopics&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (01/28/2026) - Easy Data Visualization and BIDS creator tool (Graphical interface for mne_bids conversion)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/MEG_BIDS_conversion_package.mp4 GUI]&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5898</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5898"/>
		<updated>2026-01-28T21:38:40Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Previous Tutorials and Training */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;01/**/2026&#039;&#039;&#039;&lt;br /&gt;
** Prabhakar Eedara - Avalanche Based Connectivity Assessment in Epilepsy Subjects&lt;br /&gt;
* &#039;&#039;&#039;08/29/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;TBD&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*Allison Nugent&lt;br /&gt;
*Stephen Robinson&lt;br /&gt;
*Anna Namyst&lt;br /&gt;
*Jeff Stout&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;Advanced Topics Short Course Part 2&#039;&#039;&lt;br /&gt;
**Naturalistic Viewing Analysis&lt;br /&gt;
**Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1, FAES Room 6 - https://github.com/nih-megcore/NIH_MEG_Workshop_AdvancedTopics&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (01/28/2026) - Easy Data Visualization and BIDS creator tool&lt;br /&gt;
**[https://megcore.nih.gov/MEG/MEG_BIDS_conversion_package.mp4 GUI]&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=MEG_analysis_on_Biowulf&amp;diff=5887</id>
		<title>MEG analysis on Biowulf</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=MEG_analysis_on_Biowulf&amp;diff=5887"/>
		<updated>2025-09-24T20:26:12Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* To Access Additional MEG modules */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Biowulf brief intro ==&lt;br /&gt;
Biowulf (biowulf.nih.gov) is the head node of the Biowulf cluster at NIH - https://hpc.nih.gov/docs/userguide.html&amp;lt;br&amp;gt;&lt;br /&gt;
  #For processing of data - reserve an sinteractive session&lt;br /&gt;
  sinteractive --mem=6G --cpus-per-task=4&lt;br /&gt;
  &lt;br /&gt;
  #Depending on your usage, you may need more --mem and more cpu cores.  Also for jupyter notebook, you will need the --tunnel option&lt;br /&gt;
Helix - is the storage server attached to the biowulf cluster. !!Do not upload/download data directly to biowulf - use helix!! &amp;lt;br&amp;gt;&lt;br /&gt;
  #Use scp for transfer or rsync -av (slower but some benefits)&lt;br /&gt;
  scp -r ./my_local_results  ${USERNAME}@helix.nih.gov:/data/mydatafolder/....  &lt;br /&gt;
&lt;br /&gt;
  #Getting results from biowulf cluster&lt;br /&gt;
  scp -r ${USERNAME}@helix.nih.gov:/data/mydatafolder/...  ${PATH_OFSTUFF}/my_local_stuff&lt;br /&gt;
&lt;br /&gt;
Analysis of data should not be performed on the biowulf head node, but run through an sinteractive node or swarm process. &amp;lt;br&amp;gt;&lt;br /&gt;
To start with, there are a limited number of commands loaded on the system.  To access more programs use module load.  To search, use module spider.&lt;br /&gt;
  e.g. module load afni&lt;br /&gt;
&lt;br /&gt;
== Configuring your bash shell environment ==&lt;br /&gt;
If editing your bashrc -- open two terminals in biowulf.  If you misconfigure your .bashrc, you will not be able to log into biowulf.  Having two terminals open allows you to fix anything that errors out.&lt;br /&gt;
=== Edit .bashrc file in your home drive ===&lt;br /&gt;
  umask 002   #Gives automatic group permissions to every file you create -- very very helpful for working with your team&lt;br /&gt;
  &lt;br /&gt;
  #Add modules path to access the MEG modules&lt;br /&gt;
  module use --append /data/MEGmodules/modulefiles &lt;br /&gt;
    &lt;br /&gt;
  ## Set up some aliases, so you don&#039;t have to type these out&lt;br /&gt;
  alias sinteractive_small=&#039;sinteractive --mem=8G --cpus-per-task=4 --gres=lscratch:30&#039;&lt;br /&gt;
  alias sinteractive_medium=&#039;sinteractive --mem=16G --cpus-per-task=12 --gres=lscratch:100&#039;&lt;br /&gt;
  alias sinteractive_large=&#039;sinteractive --mem=24G --cpus-per-task=32 --gres=lscratch:150&#039;&lt;br /&gt;
&lt;br /&gt;
== SAM MEG Data Analysis ==&lt;br /&gt;
  module load afni &lt;br /&gt;
  module load ctf&lt;br /&gt;
  module load samsrcv3/20180713-c5e1042&lt;br /&gt;
&lt;br /&gt;
== MNE python data analysis ==&lt;br /&gt;
===To Access Additional MEG modules===&lt;br /&gt;
  #Add the following line to your ${HOME}/.bashrc  -- if you haven&#039;t already done this in the paragraph or two above&lt;br /&gt;
  module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
&lt;br /&gt;
===Load MNE modules===&lt;br /&gt;
  #The module will not load on the biowulf head-node because freesurfer loads&lt;br /&gt;
  #Create an sinteractive or spersist node - adjust memory and cpus core number accordingly&lt;br /&gt;
  sinteractive --mem=6G --cpus-per-task=4  &lt;br /&gt;
  module load mne/0.24.1   # OR module load mne  &amp;lt;&amp;lt;-- defaults to most current version&lt;br /&gt;
  &lt;br /&gt;
  ipython&lt;br /&gt;
  import mne&lt;br /&gt;
&lt;br /&gt;
===Load Commandline MNE scripts for Processing Data===&lt;br /&gt;
!Currently in Beta Testing!&lt;br /&gt;
  [stoutjd@cn1023 modules]$ module list &lt;br /&gt;
  No modules loaded&lt;br /&gt;
  [stoutjd@cn1023 modules]$ module load mne_scripts&lt;br /&gt;
  [+] Loading freesurfer  7.1.1  on cn1023 &lt;br /&gt;
  [+] Loading mne 0.24.1  ... &lt;br /&gt;
  [+] Loading mne_scripts 0.1_dev  ... &lt;br /&gt;
  Available:&lt;br /&gt;
   spatiotemporal_clustering_stats.py&lt;br /&gt;
  [stoutjd@cn1023 modules]$ spatiotemporal_clustering_stats.py -h &lt;br /&gt;
  usage: spatiotemporal_clustering_stats.py [-h] [-topdir TOPDIR] [-search SEARCH]&lt;br /&gt;
                                            [-outfname OUTFNAME]&lt;br /&gt;
                                            [-subjects_dir SUBJECTS_DIR]&lt;br /&gt;
  &lt;br /&gt;
  options:&lt;br /&gt;
    -h, --help            show this help message and exit&lt;br /&gt;
    -topdir TOPDIR        The directory w/ stc files&lt;br /&gt;
    -search SEARCH        The search term to find the specific stc files for clustering&lt;br /&gt;
    -outfname OUTFNAME    Output filename for the cluster nifti file&lt;br /&gt;
    -subjects_dir SUBJECTS_DIR&lt;br /&gt;
                          Freesurfer subjects dir. Will download freesurfer average if not&lt;br /&gt;
                          already present. Defaults to os.environ[&#039;SUBJECTS_DIR&#039;] if not&lt;br /&gt;
                          provided&lt;br /&gt;
&lt;br /&gt;
===MNE bids creation and MNE bids pipeline processing on biowulf===&lt;br /&gt;
====Start interactive session with scratch to render visualization offscreen====&lt;br /&gt;
  sinteractive --mem=6G --cpus-per-task=4 --gres=lscratch:50&lt;br /&gt;
&lt;br /&gt;
====Create BIDS data from data off the scanner====&lt;br /&gt;
  module load mne_scripts&lt;br /&gt;
  make_meg_bids.py -meg_input_dir MEGFOLDER -mri_brik AFNI_COREGED+orig.BRIK&lt;br /&gt;
&lt;br /&gt;
====Process data using MNE Bids Pipeline====&lt;br /&gt;
  module purge &lt;br /&gt;
  module load mne_bids_pipeline&lt;br /&gt;
  mne-bids-pipeline-run.py --config=CONFIG.py  ##Optional --steps=preprocessing,source  --subject=SUBJECTID(without sub-)&lt;br /&gt;
&lt;br /&gt;
==Best Practices for Group Data Preprocessing==&lt;br /&gt;
===Process your project data===&lt;br /&gt;
====Make your python script commandline callable====&lt;br /&gt;
  #It is typical to run 1 subject per commandline call and to parrallelize over subjects in the swarm file&lt;br /&gt;
  -Use [https://docs.python.org/3/library/argparse.html argpase] to manually build a full commandline call with keyword inputs and function description &lt;br /&gt;
  -Use [https://google.github.io/python-fire/guide/ fire] or [https://click.palletsprojects.com/en/8.0.x/ click] to automatically create a commandline call based on function inputs&lt;br /&gt;
  -Use sys.argv[] to create a simple commandline input (sys.argv[0] is the filename - argv[1] is the first argument - argv[2] is second...)&lt;br /&gt;
&lt;br /&gt;
  Helpful Hints: &lt;br /&gt;
  -Use the meg dataset as an input, inside the python module - use the meg dataset to extract the subject ID :&lt;br /&gt;
    filename = os.path.basename(meg_dataset) &lt;br /&gt;
    subjid = filename.split(&#039;_&#039;)[0]  OR if you have a custom ID subjid = filename[0:#characters]&lt;br /&gt;
  -Build output filenames using f-strings: &lt;br /&gt;
    outfile_base = f&#039;{subjid}_{taskname}.nii&#039;&lt;br /&gt;
    outfilename = os.path.join(outdir, outfile_base)&lt;br /&gt;
&lt;br /&gt;
====Build, test, and submit your swarm file====&lt;br /&gt;
  for i in ${GROUP_FOLDER}/*.ds; do echo my_process.py -in1 input1 -in2 -input2 -dataset $i &amp;gt;&amp;gt; swarm_file_preprocess.sh ; done&lt;br /&gt;
  &lt;br /&gt;
  #Make sure the process runs on at least one subject/dataset&lt;br /&gt;
  #This will run the last line of the swarmfile&lt;br /&gt;
  $(tail -1 ./swarm_file_preprocess.sh) &lt;br /&gt;
  &lt;br /&gt;
  #Verify the results on the single subject / possibly look at how much RAM / CPU was used before submitting the full batch to swarm&lt;br /&gt;
  swarm -f ./swarm_file_preprocess.sh -g ${GigsOfRAM} -t ${CPUcores}  # -b ${How many subjects to run in row on 1 computer} - can be useful if you have a fast process&lt;br /&gt;
&lt;br /&gt;
== ADVANCED: Making your own python module ==&lt;br /&gt;
=== Build the python conda environment ===&lt;br /&gt;
It is recommended to create an install script so that this can be  sent to a slurm job&lt;br /&gt;
  # Load conda - if set up according to the HPC page, this should work&lt;br /&gt;
  source /data/${USER}/conda/etc/profile.d/conda.sh; conda activate base&lt;br /&gt;
  &lt;br /&gt;
  # echo mamba create -p ${PATH_TO_OUTPUT} condaPackage1 condaPackage2 conda-forge::condaForgePackage1  -y  &amp;gt; installFile.sh&lt;br /&gt;
  # Make sure to include the -y or the job will hang waiting for user response&lt;br /&gt;
  # Also make sure you have an active conda prompt when submitting the swarm, or else it will fail&lt;br /&gt;
  echo mamba create -p /data/ML_MEG/python_modules/mne0.24.1 jupyter ipython conda-forge::mne -y  &amp;gt; python_install.sh&lt;br /&gt;
  swarm -f ./python_install.sh -g 4 -t 4&lt;br /&gt;
=== Make a module file ===&lt;br /&gt;
To display most of the contents of a module file run &lt;br /&gt;
  module display python  #For the python module&lt;br /&gt;
Output:&lt;br /&gt;
  ----------------------------------------------------------------------------------&lt;br /&gt;
   /usr/local/lmod/modulefiles/python/3.8.lua:&lt;br /&gt;
  ----------------------------------------------------------------------------------&lt;br /&gt;
  family(&amp;quot;python&amp;quot;)&lt;br /&gt;
  prepend_path(&amp;quot;PATH&amp;quot;,&amp;quot;/usr/local/Anaconda/envs/py3.8/bin&amp;quot;)&lt;br /&gt;
  pushenv(&amp;quot;OMP_NUM_THREADS&amp;quot;,&amp;quot;1&amp;quot;)&lt;br /&gt;
Copy Template to your module folder&lt;br /&gt;
  #MyModule is the family name of the code / ${Version}.lua&lt;br /&gt;
  cp /usr/local/lmod/modulefiles/python/3.8.lua  ${myModuleFilesDir}/${MyModule}/0.1.lua&lt;br /&gt;
&lt;br /&gt;
=== Add module files to the search path ===&lt;br /&gt;
  module use --append ${PathToUserModuleFiles}&lt;br /&gt;
&lt;br /&gt;
=== Final Step Load Your Module ===&lt;br /&gt;
  # !! The module load process does not give good feedback that it doesn&#039;t load - make sure the path in lua file is correct !!&lt;br /&gt;
  module load ${MyModuleName}&lt;br /&gt;
&lt;br /&gt;
  #Example&lt;br /&gt;
  [$USERd@$NODE python_modules]$ module load mne&lt;br /&gt;
  &lt;br /&gt;
  [$USERd@$NODE python_modules]$ ipython&lt;br /&gt;
  Python 3.9.10 | packaged by conda-forge | (main, Feb  1 2022, 21:24:11) &lt;br /&gt;
  Type &#039;copyright&#039;, &#039;credits&#039; or &#039;license&#039; for more information&lt;br /&gt;
  IPython 8.1.1 -- An enhanced Interactive Python. Type &#039;?&#039; for help.&lt;br /&gt;
  &lt;br /&gt;
  In [1]: import mne&lt;br /&gt;
  &lt;br /&gt;
  In [2]: mne.__path__&lt;br /&gt;
  Out[2]: [&#039;/data/ML_MEG/python_modules/mne0.24.1/lib/python3.9/site-packages/mne&#039;]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=MEG_analysis_on_Biowulf&amp;diff=5886</id>
		<title>MEG analysis on Biowulf</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=MEG_analysis_on_Biowulf&amp;diff=5886"/>
		<updated>2025-09-24T20:25:27Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Edit .bashrc file in your home drive */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Biowulf brief intro ==&lt;br /&gt;
Biowulf (biowulf.nih.gov) is the head node of the Biowulf cluster at NIH - https://hpc.nih.gov/docs/userguide.html&amp;lt;br&amp;gt;&lt;br /&gt;
  #For processing of data - reserve an sinteractive session&lt;br /&gt;
  sinteractive --mem=6G --cpus-per-task=4&lt;br /&gt;
  &lt;br /&gt;
  #Depending on your usage, you may need more --mem and more cpu cores.  Also for jupyter notebook, you will need the --tunnel option&lt;br /&gt;
Helix - is the storage server attached to the biowulf cluster. !!Do not upload/download data directly to biowulf - use helix!! &amp;lt;br&amp;gt;&lt;br /&gt;
  #Use scp for transfer or rsync -av (slower but some benefits)&lt;br /&gt;
  scp -r ./my_local_results  ${USERNAME}@helix.nih.gov:/data/mydatafolder/....  &lt;br /&gt;
&lt;br /&gt;
  #Getting results from biowulf cluster&lt;br /&gt;
  scp -r ${USERNAME}@helix.nih.gov:/data/mydatafolder/...  ${PATH_OFSTUFF}/my_local_stuff&lt;br /&gt;
&lt;br /&gt;
Analysis of data should not be performed on the biowulf head node, but run through an sinteractive node or swarm process. &amp;lt;br&amp;gt;&lt;br /&gt;
To start with, there are a limited number of commands loaded on the system.  To access more programs use module load.  To search, use module spider.&lt;br /&gt;
  e.g. module load afni&lt;br /&gt;
&lt;br /&gt;
== Configuring your bash shell environment ==&lt;br /&gt;
If editing your bashrc -- open two terminals in biowulf.  If you misconfigure your .bashrc, you will not be able to log into biowulf.  Having two terminals open allows you to fix anything that errors out.&lt;br /&gt;
=== Edit .bashrc file in your home drive ===&lt;br /&gt;
  umask 002   #Gives automatic group permissions to every file you create -- very very helpful for working with your team&lt;br /&gt;
  &lt;br /&gt;
  #Add modules path to access the MEG modules&lt;br /&gt;
  module use --append /data/MEGmodules/modulefiles &lt;br /&gt;
    &lt;br /&gt;
  ## Set up some aliases, so you don&#039;t have to type these out&lt;br /&gt;
  alias sinteractive_small=&#039;sinteractive --mem=8G --cpus-per-task=4 --gres=lscratch:30&#039;&lt;br /&gt;
  alias sinteractive_medium=&#039;sinteractive --mem=16G --cpus-per-task=12 --gres=lscratch:100&#039;&lt;br /&gt;
  alias sinteractive_large=&#039;sinteractive --mem=24G --cpus-per-task=32 --gres=lscratch:150&#039;&lt;br /&gt;
&lt;br /&gt;
== SAM MEG Data Analysis ==&lt;br /&gt;
  module load afni &lt;br /&gt;
  module load ctf&lt;br /&gt;
  module load samsrcv3/20180713-c5e1042&lt;br /&gt;
&lt;br /&gt;
== MNE python data analysis ==&lt;br /&gt;
===To Access Additional MEG modules===&lt;br /&gt;
  #Add the following line to your ${HOME}/.bashrc&lt;br /&gt;
  module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
&lt;br /&gt;
===Load MNE modules===&lt;br /&gt;
  #The module will not load on the biowulf head-node because freesurfer loads&lt;br /&gt;
  #Create an sinteractive or spersist node - adjust memory and cpus core number accordingly&lt;br /&gt;
  sinteractive --mem=6G --cpus-per-task=4  &lt;br /&gt;
  module load mne/0.24.1   # OR module load mne  &amp;lt;&amp;lt;-- defaults to most current version&lt;br /&gt;
  &lt;br /&gt;
  ipython&lt;br /&gt;
  import mne&lt;br /&gt;
&lt;br /&gt;
===Load Commandline MNE scripts for Processing Data===&lt;br /&gt;
!Currently in Beta Testing!&lt;br /&gt;
  [stoutjd@cn1023 modules]$ module list &lt;br /&gt;
  No modules loaded&lt;br /&gt;
  [stoutjd@cn1023 modules]$ module load mne_scripts&lt;br /&gt;
  [+] Loading freesurfer  7.1.1  on cn1023 &lt;br /&gt;
  [+] Loading mne 0.24.1  ... &lt;br /&gt;
  [+] Loading mne_scripts 0.1_dev  ... &lt;br /&gt;
  Available:&lt;br /&gt;
   spatiotemporal_clustering_stats.py&lt;br /&gt;
  [stoutjd@cn1023 modules]$ spatiotemporal_clustering_stats.py -h &lt;br /&gt;
  usage: spatiotemporal_clustering_stats.py [-h] [-topdir TOPDIR] [-search SEARCH]&lt;br /&gt;
                                            [-outfname OUTFNAME]&lt;br /&gt;
                                            [-subjects_dir SUBJECTS_DIR]&lt;br /&gt;
  &lt;br /&gt;
  options:&lt;br /&gt;
    -h, --help            show this help message and exit&lt;br /&gt;
    -topdir TOPDIR        The directory w/ stc files&lt;br /&gt;
    -search SEARCH        The search term to find the specific stc files for clustering&lt;br /&gt;
    -outfname OUTFNAME    Output filename for the cluster nifti file&lt;br /&gt;
    -subjects_dir SUBJECTS_DIR&lt;br /&gt;
                          Freesurfer subjects dir. Will download freesurfer average if not&lt;br /&gt;
                          already present. Defaults to os.environ[&#039;SUBJECTS_DIR&#039;] if not&lt;br /&gt;
                          provided&lt;br /&gt;
&lt;br /&gt;
===MNE bids creation and MNE bids pipeline processing on biowulf===&lt;br /&gt;
====Start interactive session with scratch to render visualization offscreen====&lt;br /&gt;
  sinteractive --mem=6G --cpus-per-task=4 --gres=lscratch:50&lt;br /&gt;
&lt;br /&gt;
====Create BIDS data from data off the scanner====&lt;br /&gt;
  module load mne_scripts&lt;br /&gt;
  make_meg_bids.py -meg_input_dir MEGFOLDER -mri_brik AFNI_COREGED+orig.BRIK&lt;br /&gt;
&lt;br /&gt;
====Process data using MNE Bids Pipeline====&lt;br /&gt;
  module purge &lt;br /&gt;
  module load mne_bids_pipeline&lt;br /&gt;
  mne-bids-pipeline-run.py --config=CONFIG.py  ##Optional --steps=preprocessing,source  --subject=SUBJECTID(without sub-)&lt;br /&gt;
&lt;br /&gt;
==Best Practices for Group Data Preprocessing==&lt;br /&gt;
===Process your project data===&lt;br /&gt;
====Make your python script commandline callable====&lt;br /&gt;
  #It is typical to run 1 subject per commandline call and to parrallelize over subjects in the swarm file&lt;br /&gt;
  -Use [https://docs.python.org/3/library/argparse.html argpase] to manually build a full commandline call with keyword inputs and function description &lt;br /&gt;
  -Use [https://google.github.io/python-fire/guide/ fire] or [https://click.palletsprojects.com/en/8.0.x/ click] to automatically create a commandline call based on function inputs&lt;br /&gt;
  -Use sys.argv[] to create a simple commandline input (sys.argv[0] is the filename - argv[1] is the first argument - argv[2] is second...)&lt;br /&gt;
&lt;br /&gt;
  Helpful Hints: &lt;br /&gt;
  -Use the meg dataset as an input, inside the python module - use the meg dataset to extract the subject ID :&lt;br /&gt;
    filename = os.path.basename(meg_dataset) &lt;br /&gt;
    subjid = filename.split(&#039;_&#039;)[0]  OR if you have a custom ID subjid = filename[0:#characters]&lt;br /&gt;
  -Build output filenames using f-strings: &lt;br /&gt;
    outfile_base = f&#039;{subjid}_{taskname}.nii&#039;&lt;br /&gt;
    outfilename = os.path.join(outdir, outfile_base)&lt;br /&gt;
&lt;br /&gt;
====Build, test, and submit your swarm file====&lt;br /&gt;
  for i in ${GROUP_FOLDER}/*.ds; do echo my_process.py -in1 input1 -in2 -input2 -dataset $i &amp;gt;&amp;gt; swarm_file_preprocess.sh ; done&lt;br /&gt;
  &lt;br /&gt;
  #Make sure the process runs on at least one subject/dataset&lt;br /&gt;
  #This will run the last line of the swarmfile&lt;br /&gt;
  $(tail -1 ./swarm_file_preprocess.sh) &lt;br /&gt;
  &lt;br /&gt;
  #Verify the results on the single subject / possibly look at how much RAM / CPU was used before submitting the full batch to swarm&lt;br /&gt;
  swarm -f ./swarm_file_preprocess.sh -g ${GigsOfRAM} -t ${CPUcores}  # -b ${How many subjects to run in row on 1 computer} - can be useful if you have a fast process&lt;br /&gt;
&lt;br /&gt;
== ADVANCED: Making your own python module ==&lt;br /&gt;
=== Build the python conda environment ===&lt;br /&gt;
It is recommended to create an install script so that this can be  sent to a slurm job&lt;br /&gt;
  # Load conda - if set up according to the HPC page, this should work&lt;br /&gt;
  source /data/${USER}/conda/etc/profile.d/conda.sh; conda activate base&lt;br /&gt;
  &lt;br /&gt;
  # echo mamba create -p ${PATH_TO_OUTPUT} condaPackage1 condaPackage2 conda-forge::condaForgePackage1  -y  &amp;gt; installFile.sh&lt;br /&gt;
  # Make sure to include the -y or the job will hang waiting for user response&lt;br /&gt;
  # Also make sure you have an active conda prompt when submitting the swarm, or else it will fail&lt;br /&gt;
  echo mamba create -p /data/ML_MEG/python_modules/mne0.24.1 jupyter ipython conda-forge::mne -y  &amp;gt; python_install.sh&lt;br /&gt;
  swarm -f ./python_install.sh -g 4 -t 4&lt;br /&gt;
=== Make a module file ===&lt;br /&gt;
To display most of the contents of a module file run &lt;br /&gt;
  module display python  #For the python module&lt;br /&gt;
Output:&lt;br /&gt;
  ----------------------------------------------------------------------------------&lt;br /&gt;
   /usr/local/lmod/modulefiles/python/3.8.lua:&lt;br /&gt;
  ----------------------------------------------------------------------------------&lt;br /&gt;
  family(&amp;quot;python&amp;quot;)&lt;br /&gt;
  prepend_path(&amp;quot;PATH&amp;quot;,&amp;quot;/usr/local/Anaconda/envs/py3.8/bin&amp;quot;)&lt;br /&gt;
  pushenv(&amp;quot;OMP_NUM_THREADS&amp;quot;,&amp;quot;1&amp;quot;)&lt;br /&gt;
Copy Template to your module folder&lt;br /&gt;
  #MyModule is the family name of the code / ${Version}.lua&lt;br /&gt;
  cp /usr/local/lmod/modulefiles/python/3.8.lua  ${myModuleFilesDir}/${MyModule}/0.1.lua&lt;br /&gt;
&lt;br /&gt;
=== Add module files to the search path ===&lt;br /&gt;
  module use --append ${PathToUserModuleFiles}&lt;br /&gt;
&lt;br /&gt;
=== Final Step Load Your Module ===&lt;br /&gt;
  # !! The module load process does not give good feedback that it doesn&#039;t load - make sure the path in lua file is correct !!&lt;br /&gt;
  module load ${MyModuleName}&lt;br /&gt;
&lt;br /&gt;
  #Example&lt;br /&gt;
  [$USERd@$NODE python_modules]$ module load mne&lt;br /&gt;
  &lt;br /&gt;
  [$USERd@$NODE python_modules]$ ipython&lt;br /&gt;
  Python 3.9.10 | packaged by conda-forge | (main, Feb  1 2022, 21:24:11) &lt;br /&gt;
  Type &#039;copyright&#039;, &#039;credits&#039; or &#039;license&#039; for more information&lt;br /&gt;
  IPython 8.1.1 -- An enhanced Interactive Python. Type &#039;?&#039; for help.&lt;br /&gt;
  &lt;br /&gt;
  In [1]: import mne&lt;br /&gt;
  &lt;br /&gt;
  In [2]: mne.__path__&lt;br /&gt;
  Out[2]: [&#039;/data/ML_MEG/python_modules/mne0.24.1/lib/python3.9/site-packages/mne&#039;]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=MEG_Biowulf_Setup&amp;diff=5885</id>
		<title>MEG Biowulf Setup</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=MEG_Biowulf_Setup&amp;diff=5885"/>
		<updated>2025-09-24T20:17:25Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Edit .bashrc file in your home drive */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General Setup ==&lt;br /&gt;
=== Mounting local computer to biowulf ===&lt;br /&gt;
  https://hpc.nih.gov/docs/hpcdrive.html&lt;br /&gt;
== Configuring your bash shell environment ==&lt;br /&gt;
If editing your bashrc -- open two terminals in biowulf.  &#039;&#039;&#039;If you misconfigure your .bashrc, you might not be able to log into biowulf&#039;&#039;&#039;.  Having two terminals open allows you to fix anything that errors out.&lt;br /&gt;
=== Edit .bashrc file in your home drive ===&lt;br /&gt;
Aliases allow you to configure commands for easy use. &amp;lt;br&amp;gt;&lt;br /&gt;
If you have a data directory that you use, you may want to add &#039;&#039;&#039;cddat=&amp;quot;cd /data/MYDATADIR/blah/blah/data&amp;quot;&#039;&#039;&#039;&lt;br /&gt;
  umask 002   #Gives automatic group permissions to every file you create -- very very helpful for working with your team&lt;br /&gt;
  &lt;br /&gt;
  &lt;br /&gt;
  ## Set up some aliases, so you don&#039;t have to type these out&lt;br /&gt;
  alias sinteractive_small=&#039;sinteractive --mem=8G --cpus-per-task=4 --gres=lscratch:30&#039;&lt;br /&gt;
  alias sinteractive_medium=&#039;sinteractive --mem=16G --cpus-per-task=12 --gres=lscratch:100&#039;&lt;br /&gt;
  alias sinteractive_large=&#039;sinteractive --mem=24G --cpus-per-task=32 --gres=lscratch:150&#039;&lt;br /&gt;
&lt;br /&gt;
=== To Access Additional MEG modules ===&lt;br /&gt;
  #Add the following line to your ${HOME}/.bashrc&lt;br /&gt;
  module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
&lt;br /&gt;
== Setting up spyder on biowulf == &lt;br /&gt;
  module purge&lt;br /&gt;
  module load python/3.10&lt;br /&gt;
  spyder&lt;br /&gt;
&lt;br /&gt;
Click on the wrench icon &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Spyder_config_button.png | 700px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Add the following line to &#039;&#039;&#039;Use the following interpreter&#039;&#039;&#039;: /vf/users/MEGmodules/modules/mne1.5.1dev/bin/python3.11 &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Preferences panel spyder.png | 700px]] &amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5866</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5866"/>
		<updated>2025-08-27T19:56:29Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Upcoming Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;01/**/2026&#039;&#039;&#039;&lt;br /&gt;
** Prabhakar Eedara - Avalanche Based Connectivity Assessment in Epilepsy Subjects&lt;br /&gt;
* &#039;&#039;&#039;08/29/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;TBD&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*Allison Nugent&lt;br /&gt;
*Stephen Robinson&lt;br /&gt;
*Anna Namyst&lt;br /&gt;
*Jeff Stout&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;Advanced Topics Short Course Part 2&#039;&#039;&lt;br /&gt;
**Naturalistic Viewing Analysis&lt;br /&gt;
**Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1, FAES Room 6 - https://github.com/nih-megcore/NIH_MEG_Workshop_AdvancedTopics&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5865</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5865"/>
		<updated>2025-08-27T19:52:45Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Upcoming Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;01/**/2026&#039;&#039;&#039;&lt;br /&gt;
** Prabhakar - Avalanche Assessment&lt;br /&gt;
* &#039;&#039;&#039;08/29/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;TBD&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*Allison Nugent&lt;br /&gt;
*Stephen Robinson&lt;br /&gt;
*Anna Namyst&lt;br /&gt;
*Jeff Stout&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;Advanced Topics Short Course Part 2&#039;&#039;&lt;br /&gt;
**Naturalistic Viewing Analysis&lt;br /&gt;
**Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1, FAES Room 6 - https://github.com/nih-megcore/NIH_MEG_Workshop_AdvancedTopics&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5862</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5862"/>
		<updated>2025-08-18T20:23:05Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Recent Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;05/**/2025&#039;&#039;&#039; &lt;br /&gt;
** Allison Nugent&lt;br /&gt;
** Stephen Robinson&lt;br /&gt;
* &#039;&#039;&#039;06/**/2025&#039;&#039;&#039;&lt;br /&gt;
** Anna Namyst&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
* &#039;&#039;&#039;08/29/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1, FAES Room 6 - https://github.com/nih-megcore/NIH_MEG_Workshop_AdvancedTopics&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5861</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5861"/>
		<updated>2025-08-18T20:21:30Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Upcoming Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;05/**/2025&#039;&#039;&#039; &lt;br /&gt;
** Allison Nugent&lt;br /&gt;
** Stephen Robinson&lt;br /&gt;
* &#039;&#039;&#039;06/**/2025&#039;&#039;&#039;&lt;br /&gt;
** Anna Namyst&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
* &#039;&#039;&#039;08/29/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5852</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5852"/>
		<updated>2025-04-14T20:07:40Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Recent Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;05/**/2025&#039;&#039;&#039; &lt;br /&gt;
** Allison Nugent&lt;br /&gt;
** Stephen Robinson&lt;br /&gt;
* &#039;&#039;&#039;06/**/2025&#039;&#039;&#039;&lt;br /&gt;
** Anna Namyst&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder - [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout - [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5848</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5848"/>
		<updated>2025-04-10T19:19:58Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Upcoming Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;05/**/2025&#039;&#039;&#039; &lt;br /&gt;
** Allison Nugent&lt;br /&gt;
** Stephen Robinson&lt;br /&gt;
* &#039;&#039;&#039;06/**/2025&#039;&#039;&#039;&lt;br /&gt;
** Anna Namyst&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5847</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5847"/>
		<updated>2025-04-02T15:38:35Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Upcoming Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;05/**/2025&#039;&#039;&#039; &lt;br /&gt;
** Allison Nugent&lt;br /&gt;
** Stephen Robinson&lt;br /&gt;
* &#039;&#039;&#039;06/**/2025&#039;&#039;&#039;&lt;br /&gt;
** Anna Namyst&lt;br /&gt;
** &lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5846</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5846"/>
		<updated>2025-03-25T14:38:14Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;05/**/2025&#039;&#039;&#039; &lt;br /&gt;
** Allison Nugent&lt;br /&gt;
** Stephen Robinson&lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5845</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5845"/>
		<updated>2025-03-18T17:30:19Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Upcoming Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
*** &lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;05/**/2025&#039;&#039;&#039; &lt;br /&gt;
** Allison Nugent&lt;br /&gt;
** Stephen Robinson&lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5844</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5844"/>
		<updated>2025-03-18T15:30:04Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub MEG-based decoding of the spatiotemporal dynamics of visual category perception]&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials]&lt;br /&gt;
*** &lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5843</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5843"/>
		<updated>2025-03-18T15:28:47Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Upcoming Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;3/21/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder&lt;br /&gt;
*** [ MEG-based decoding of the spatiotemporal dynamics of visual&lt;br /&gt;
category perception | https://www.sciencedirect.com/science/article/pii/S1053811913008446?via%3Dihub]&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials | https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00236/full]&lt;br /&gt;
*** &lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039; Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop and Pupillometry. (Recording by request only)&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039; Jeff Stout - [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara -[https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui[https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039; MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;, https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
**Jess Gilbert -[https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann -[https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039; John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039; Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039; Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039; Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent -[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman -[https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos - [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout - [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039; Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am, FAES classrooms Building 10&#039;&#039;&#039; Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee - [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson - [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui - [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver - [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday - [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins - [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu - [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos -[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime - [https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer - [https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang - [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers - [https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman - [https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep - Discussion of ideas and best practices, setup of git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5827</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5827"/>
		<updated>2025-01-31T21:50:51Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/&#039;&#039;&#039;derivatives&#039;&#039;&#039;/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/modality-specific-files/magnetoencephalography.html &amp;lt;br&amp;gt;&lt;br /&gt;
https://megcore.nih.gov/index.php/Mne_bids_pipeline &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click &#039;&#039;&#039;Write Parser File&#039;&#039;&#039; to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
Plot FIDS works on the base MRI and doesn&#039;t require any prep. &amp;lt;br&amp;gt;&lt;br /&gt;
To plot the 3D coreg - Freesurfer must be processed on the subject and the MRI preprocessing must have been completed &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5826</id>
		<title>Club MEG</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Club_MEG&amp;diff=5826"/>
		<updated>2025-01-31T21:38:41Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Recent Talks/Discussions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Club MEG is our version of a journal club. We welcome NIH MEG researchers to lead discussions on any MEG topic, including interesting papers, experiment ideas, analysis techniques, or finding from your research.&lt;br /&gt;
&lt;br /&gt;
Interested in presenting a topic? Email &#039;&#039;&#039;Fred Carver at carverf@nih.gov&#039;&#039;&#039; or &#039;&#039;&#039;Jeff Stout at stoutjd@nih.gov&#039;&#039;&#039; if you would like to present.&lt;br /&gt;
&lt;br /&gt;
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE (NIH MEG Core Users only)] and [https://list.nih.gov/cgi-bin/wa.exe?SUBED1=CLUB-MEG_ANNOUNCE&amp;amp;A=1 Club-MEG_ANNOUNCE] listservs.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Upcoming Talks/Discussions == &lt;br /&gt;
* &#039;&#039;&#039;02/07/2025&#039;&#039;&#039;&lt;br /&gt;
** Ryan Oakeson - Recap Speech In Noise (SPIN) Workshop&lt;br /&gt;
* &#039;&#039;&#039;3/**/2025&#039;&#039;&#039;&lt;br /&gt;
** Alexis Kidder&lt;br /&gt;
* &#039;&#039;&#039;05/02/2025&#039;&#039;&#039; Advanced Topics Short Court - Part1&lt;br /&gt;
** Connectivity&lt;br /&gt;
** Decoding&lt;br /&gt;
* &#039;&#039;&#039;07/**/2025&#039;&#039;&#039;  &lt;br /&gt;
** Andrew &amp;quot;Andy&amp;quot; Thwaites (UCL)&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;...../2025 Part2&#039;&#039;&#039;&lt;br /&gt;
** Advanced Topics Short Course&lt;br /&gt;
*** Naturalistic Viewing Analysis&lt;br /&gt;
*** Microstates&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- &amp;lt;/br&amp;gt;&lt;br /&gt;
Other notable dates:&amp;lt;/br&amp;gt;&lt;br /&gt;
Note to self: Don&#039;t schedule during these times: &lt;br /&gt;
&#039;&#039;&#039;OHBM:&#039;&#039;&#039;  06/(24-28)/2024 &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;BIOMAG&#039;&#039;&#039; 08/(26 – 29)/2024  &amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Possible DC Brainhack&#039;&#039;&#039; --/--/2024 &amp;lt;br&amp;gt; --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Recent Talks/Discussions ==&lt;br /&gt;
* &#039;&#039;&#039;01/31/2025&#039;&#039;&#039;&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [https://megcore.nih.gov/index.php/BIDS_GUIs#What_is_BIDS Event Coding GUI and other GUI tools for prepping and QA-ing BIDS]&lt;br /&gt;
* &#039;&#039;&#039;01/17/2025&#039;&#039;&#039;&lt;br /&gt;
** Prabhakararao Eedara&lt;br /&gt;
*** [https://onlinelibrary.wiley.com/doi/10.1111/epi.17503  MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy]&lt;br /&gt;
** Amaia Benitez Andonegui&lt;br /&gt;
*** [https://pmc.ncbi.nlm.nih.gov/articles/PMC4446182/  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing]&lt;br /&gt;
* &#039;&#039;&#039;11/18-19/2024&#039;&#039;&#039;&lt;br /&gt;
** MEG Beginner Short Course - &amp;quot;Squid School&amp;quot;&lt;br /&gt;
*** https://github.com/nih-megcore/NIMH_MEG_workshop&lt;br /&gt;
* &#039;&#039;&#039;11/01/2024&#039;&#039;&#039;&lt;br /&gt;
** Jess Gilbert&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S0165032724013508?via%3Dihub   Electrophysiological predictors of early response to antidepressants in major depressive disorder]&lt;br /&gt;
** Lina Teichmann&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S1053811921008016?ref=pdf_download&amp;amp;fr=RR-2&amp;amp;rr=8d9cd909f837c484  Contactless measurements of retinal activity using optically pumped magnetometers]&lt;br /&gt;
* &#039;&#039;&#039;10/23/2024 1:30 - NMR Conf Room&#039;&#039;&#039;&lt;br /&gt;
** John Hale -  Modeling fMRI time courses with linguistic structure&lt;br /&gt;
* &#039;&#039;&#039;10/18/2024&#039;&#039;&#039;&lt;br /&gt;
** Jeff Stout - BIDS QA GUI Demo&lt;br /&gt;
* &#039;&#039;&#039;10/04/2024&#039;&#039;&#039;&lt;br /&gt;
** Ivano Triggiani - [https://link.springer.com/article/10.1007/s10548-024-01073-z MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes]&lt;br /&gt;
** Carlos Cortes - [https://www.sciencedirect.com/science/article/pii/S1053811922001355 MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses]&lt;br /&gt;
* &#039;&#039;&#039;08/02/2024&#039;&#039;&#039;&lt;br /&gt;
** Jeff Stout, &#039;&#039;GUI demo for BIDS creation and additional processing&#039;&#039; (email Jeff for slides and further information)&lt;br /&gt;
* &#039;&#039;&#039;08/15/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent, [https://www.youtube.com/watch?v=lsH6SZeUbeY&amp;amp;feature=youtu.be &#039;&#039;fMRI Summer Course&#039;&#039;: Magnetoencephalography lecture]&lt;br /&gt;
* &#039;&#039;&#039;07/12/2024&#039;&#039;&#039;&lt;br /&gt;
** Allison Nugent&lt;br /&gt;
*** [https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26466?campaign=wolearlyview Multiplexity of human brain oscillations as a personal brain signature]&lt;br /&gt;
** Lindsay Oberman &lt;br /&gt;
*** [https://link.springer.com/article/10.1007/s10803-023-05907-w No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children]&lt;br /&gt;
* &#039;&#039;&#039;06/21/2024 1-2pm&#039;&#039;&#039; &lt;br /&gt;
** Sebastian Montesinos, [https://www.nature.com/articles/s41467-019-09239-1 How face perception unfolds over time], Dobs et al. (2019)&lt;br /&gt;
** Jeff Stout, [https://pubmed.ncbi.nlm.nih.gov/32822098/ Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto-occipital regions ]&lt;br /&gt;
* &#039;&#039;&#039;06/14/2024 1-2pm&#039;&#039;&#039;&lt;br /&gt;
** Peter Krueger, NMR Conference Room (and on Zoom)&lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 11:00am&#039;&#039;&#039; FAES classrooms Building 10&lt;br /&gt;
** Tijl Grootswagers : Seeing in a Flash: Neural Decoding of Rapid Object Recognition &lt;br /&gt;
* &#039;&#039;&#039;05/24/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Lucrezia Liuzzi, [https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00119/119996/Towards-a-more-robust-non-invasive-assessment-of &amp;quot;Towards a more robust non-invasive assessment of functional connectivity &amp;quot;] &lt;br /&gt;
** Anna Namyst, [https://www.biorxiv.org/content/10.1101/2024.04.19.590280v1 &amp;quot;Hierarchical dynamic coding coordinates speech comprehension in the brain&amp;quot;] Gwilliams et al. (&#039;&#039;*preprint&#039;&#039;) &lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;04/19/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shruti Japee&lt;br /&gt;
*** [https://pubmed.ncbi.nlm.nih.gov/37365829/ Objects sharpen visual scene representations: evidence from MEG decoding]&lt;br /&gt;
** Ryan Oakeson&lt;br /&gt;
*** [https://www.biorxiv.org/content/10.1101/2023.06.23.546249v2.full.pdf  An adversarial collaboration to critically evaluate theories of consciousness ] &lt;br /&gt;
* &#039;&#039;&#039;03/08/2024 at 1:00pm&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Shivam Bansal&lt;br /&gt;
*** [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902297/pdf/42003_2024_Article_5927.pdf Linking structural and functional changes during aging using multilayer brain network analysis ]&lt;br /&gt;
** Amaia Benitez Andonegui&lt;br /&gt;
*** [https://www.pnas.org/doi/full/10.1073/pnas.1508523113  Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns]&lt;br /&gt;
* &#039;&#039;&#039;02/23/2024&#039;&#039;&#039; Yoojin Lee - Dysregulated connectivity among insula, postcentral gyrus, and precuneus and its association with suicide risk&lt;br /&gt;
* &#039;&#039;&#039;02/16/2024&#039;&#039;&#039; 2X Journal Article&lt;br /&gt;
** Fred Carver&lt;br /&gt;
*** [https://www.biomedcentral.com/epdf/10.1186/s12984-015-0076-7?sharing_token=mkccASrrnNz9b8w0BMAJ82_BpE1tBhCbnbw3BuzI2RNVoDKPinmyo4Rqp7Gjl8B4zqtKDO-MMrgZh-FgW06gwuL_Dl39uXBVRbbC4vqoHXQJBKV6_KXny6x6KAlhDvqL4tZzdevxq1WLF85j0Mafb7m5Aoq0vs43lwARUHXqlYA%3D  MEG-based neurofeedback for hand rehabilitation ]&lt;br /&gt;
** Jeff Stout&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S105381192200492X   The natural frequencies of the resting human brain  ] &lt;br /&gt;
* &#039;&#039;&#039;01/26/2024&#039;&#039;&#039; Megan Parker - A smartphone delivered attention retraining intervention for altering neural underpinnings of food attention bias in adolescent girls with overweight or obesity&lt;br /&gt;
* &#039;&#039;&#039;11/08/2023-11/09/2023&#039;&#039;&#039; MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop&lt;br /&gt;
* &#039;&#039;&#039;10/20/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
** Elena Hayday&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S138824572300737X?casa_token=lP2ya9xhlBQAAAAA:7vx20m6eqPwKvc90PtswFxeZaVrYEklGAMg46guMAzy5fb_uDtMkA-HhcZAftdmFI6I2wQ  Language MEG predicts postoperative verbal memory change in left mesial temporal lobe epilepsy]&lt;br /&gt;
** Pei Robins&lt;br /&gt;
*** [https://www.jneurosci.org/content/jneuro/42/47/8807.full.pdf  Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study]&lt;br /&gt;
** Amy Xu&lt;br /&gt;
*** [https://www.sciencedirect.com/science/article/pii/S0165032722011405?via%3Dihub Convergent and divergent cognitive impairment of unipolar and bipolar depression: A magnetoencephalography resting-state study]&lt;br /&gt;
* &#039;&#039;&#039;09/27(Wednesday) &amp;amp; 10/04/2023(Wednesday)&#039;&#039;&#039; &lt;br /&gt;
** [https://megcore.nih.gov/index.php/MEG_training_course_2023 MEG Training Course]&lt;br /&gt;
** [https://github.com/nih-megcore/MEG_workshop_2023  Code: Course Github Page]&lt;br /&gt;
* &#039;&#039;&#039;08/18/2023&#039;&#039;&#039; Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro&lt;br /&gt;
* &#039;&#039;&#039;08/04/2023&#039;&#039;&#039; Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function&lt;br /&gt;
* &#039;&#039;&#039;07/28/2023&#039;&#039;&#039; Riley Hochstein - Magnetocardiography with OPMs&lt;br /&gt;
* &#039;&#039;&#039;06/30/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3x 15min talks)&lt;br /&gt;
**Sebastian Montesinos&lt;br /&gt;
***[https://elifesciences.org/articles/33904 Differential temporal dynamics during visual imagery and perception] &lt;br /&gt;
**Miguel Jaime&lt;br /&gt;
***[https://molecularautism.biomedcentral.com/articles/10.1186/s13229-022-00498-2 Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence]&lt;br /&gt;
**Bess Bloomer&lt;br /&gt;
***[https://www.sciencedirect.com/science/article/pii/S2213158223000530 Functional connectivity changes during working memory in autism spectrum disorder: A two-year longitudinal MEG study]&lt;br /&gt;
* &#039;&#039;&#039;05/19/2023&#039;&#039;&#039; Club MEG: (Multi-Presenter: 3X 15min talks)&lt;br /&gt;
**Angela Wang&lt;br /&gt;
***[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342265/ Localization of Early-Stage Visual Processing Deficits at Schizophrenia Spectrum Illness Onset Using Magnetoencephalography ] &lt;br /&gt;
**Price Withers&lt;br /&gt;
***[https://www.sciencedirect.com/science/article/pii/S1053811921002007?via%3Dihub  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model]&lt;br /&gt;
**Kaya Scheman&lt;br /&gt;
***[https://www.sciencedirect.com/science/article/pii/S138824571830261X Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia]&lt;br /&gt;
* &#039;&#039;&#039;05/12/2023&#039;&#039;&#039; Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)&lt;br /&gt;
**https://eelbrain.readthedocs.io/en/r-0.27/index.html&lt;br /&gt;
* &#039;&#039;&#039;05/05/2023&#039;&#039;&#039; -- [https://megcore.nih.gov/index.php/MEG_Hackathon_2023  &#039;&#039;&#039;MEG Hackathon 2023&#039;&#039;&#039;]&lt;br /&gt;
** [https://github.com/nih-megcore/MEGHACK_2023_spring GitHub_Repos]&lt;br /&gt;
* &#039;&#039;&#039;04/28/2023 at 1:00pm&#039;&#039;&#039; Club MEG: Abbas Babajani-Feremi - (University of Florida) - &#039;&#039;MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer&#039;&#039;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/AbbasBabajani-Feremi_ClubMEG_04282023.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/21/2023 at 1:00pm&#039;&#039;&#039; Hackathon Prep -- Go over ideas and best practices - setup git repos for the project.&lt;br /&gt;
**[https://megcore.nih.gov/index.php/MEG_Hackathon_2023 MEG Hackathon 2023 -- SIGN UP!]&lt;br /&gt;
* &#039;&#039;&#039;03/03/2023&#039;&#039;&#039; Graham Flick (New York University) - &#039;&#039;Visual word recognition in natural reading: A co-registered MEG and eye-tracking study&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;02/24/2023&#039;&#039;&#039; Georgios Michalareas (Max Planck Institute) - [https://www.sciencedirect.com/science/article/pii/S0896627315011204?via%3Dihub Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas]&lt;br /&gt;
* &#039;&#039;&#039;02/03/2023&#039;&#039;&#039; Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain&lt;br /&gt;
* &#039;&#039;&#039;01/27/2023&#039;&#039;&#039; Lucrezia Liuzzi - Identifying markers of cognitive control&lt;br /&gt;
* &#039;&#039;&#039;12/09/2022&#039;&#039;&#039; Ryan Oakeson and Amaia Benitez, [https://www.biorxiv.org/content/10.1101/2022.05.31.494173v3 Top-down information flow drives lexical access when listening to continuous speech]&lt;br /&gt;
* &#039;&#039;&#039;12/02/2022&#039;&#039;&#039; Anna Namyst, [https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00995/full Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts]&lt;br /&gt;
* &#039;&#039;&#039;10/28/2022&#039;&#039;&#039; - Sharif Kronemer - &amp;quot;The neural mechanisms of afterimages: A model of illusory conscious perception&amp;quot;&lt;br /&gt;
**[https://megcore.nih.gov/MEG/SharifKronemer_ClubMEG_10282022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;10/07/2022&#039;&#039;&#039; - Sarah Grewal - [https://pubs.rsna.org/doi/10.1148/radiol.212453 On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/SarahGrewal_ClubMEG_10072022.mp4 Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;09/16/2022&#039;&#039;&#039; Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Oberman_ClubMEG_09162022.mp4 Recording Download (mp4)]&lt;br /&gt;
** [https://pubmed.ncbi.nlm.nih.gov/25745372/ Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures]&lt;br /&gt;
* &#039;&#039;&#039;09/15/2022&#039;&#039;&#039; Biomag 2022 Recap&lt;br /&gt;
* &#039;&#039;&#039;08/19/2022&#039;&#039;&#039; Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/KunjanRana_ClubMEG_08192022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;08/05/2022&#039;&#039;&#039; Shruti Japee - Temporal Dynamics of Facial Expression Processing&lt;br /&gt;
**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/20/2022&#039;&#039;&#039; Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy&lt;br /&gt;
**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;05/13/2022&#039;&#039;&#039; Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/29/2022&#039;&#039;&#039; Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;04/08/2022&#039;&#039;&#039; Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;03/10/2022&#039;&#039;&#039; Stephen Robinson - Using Information Theory for MEG Studies&lt;br /&gt;
** [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4  Recording Download (mp4)]&lt;br /&gt;
* &#039;&#039;&#039;02/11/2022&#039;&#039;&#039; Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)]&lt;br /&gt;
* &#039;&#039;&#039;11/12/2021&#039;&#039;&#039; Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&amp;amp;MCog.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]]&lt;br /&gt;
*&#039;&#039;&#039;10/22/2021&#039;&#039;&#039; Stephen Robinson, Fundamentals of Beamformers (mp4)&lt;br /&gt;
** [https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Recording Download (mp4)]&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]]&lt;br /&gt;
*&#039;&#039;&#039;10/23/2020&#039;&#039;&#039; Angela Wang and Tom Holroyd, Neurofeedback Discussion.&lt;br /&gt;
**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]].&lt;br /&gt;
&lt;br /&gt;
== Previous Tutorials and Training ==&lt;br /&gt;
* Jeff Stout (02/17/2023) - Making python modules&lt;br /&gt;
**&lt;br /&gt;
**[https://docs.python.org/3/distutils/setupscript.html  Configuring a setup.py file ]&lt;br /&gt;
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides]&lt;br /&gt;
**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage]&lt;br /&gt;
**Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline&lt;br /&gt;
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo&lt;br /&gt;
**https://github.com/john-veillette/mne-ari&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Veillette_MNE-ARI_ClubMEG_10142022.mp4  Recording Download (mp4)]&lt;br /&gt;
* Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis&lt;br /&gt;
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)]&lt;br /&gt;
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview&lt;br /&gt;
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164&lt;br /&gt;
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf&lt;br /&gt;
** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides]&lt;br /&gt;
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]]&lt;br /&gt;
*Andrea Brovelli &amp;amp; Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)&lt;br /&gt;
**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)]&lt;br /&gt;
**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks]&lt;br /&gt;
**[https://doi.org/10.1016/j.neuroimage.2022.119347 Paper: Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data]&lt;br /&gt;
*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022  MEG Hackathon ] 05/06/2022&lt;br /&gt;
*Eric Earl (04/27/2022) - Github Presentation and Discussion &lt;br /&gt;
**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features]&lt;br /&gt;
** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)]&lt;br /&gt;
**Additional Links:  &lt;br /&gt;
***[https://osf.io/xt6pk/ ReadTheDocs]  &lt;br /&gt;
***[https://osf.io/qcyhu/ BioDataClub OSF]   &lt;br /&gt;
*Jeff Stout, Intro to Git, 04/12/2022 - &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download]&lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ]&lt;br /&gt;
**Additional Links:&lt;br /&gt;
***[https://nbviewer.org/github/pelson/lessons_for_a_scientific_programmer/blob/master/2014-euroscipy/00_intro.ipynb  Scientific Programming Guidelines - Including Git]&lt;br /&gt;
*Jeff Stout, Intro Python, 03/29/2022 - [https://megcore.nih.gov/MEG/JeffStout_PythonCoursePart2_03292022.mp4| Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)]&lt;br /&gt;
*Fred Carver &amp;amp; Jeff Stout,  [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python &lt;br /&gt;
**[https://megcore.nih.gov/MEG/ClubMEG_Carver&amp;amp;Stout_MNE&amp;amp;AFNI-GroupAnalysisTutorial_012122.mp4  Recording Download (mp4)]&lt;br /&gt;
*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python&lt;br /&gt;
*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials.&lt;br /&gt;
&lt;br /&gt;
== Special Interest Groups ==&lt;br /&gt;
&lt;br /&gt;
[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG  &#039;&#039;&#039;Machine Learning Special Interest Group&#039;&#039;&#039;] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.&amp;lt;/br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Prior ML SIG topics:&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
* &#039;&#039;&#039;05/27/2022&#039;&#039;&#039; Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] &lt;br /&gt;
**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;04/15/2022&#039;&#039;&#039; Leonardo Claudino - Decoding Pipeline &amp;lt;ref&amp;gt; https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay Ethan R. Buch, Leonardo Claudino, Romain Quentin, Marlene Bönstrup, Leonardo Cohen&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay &amp;lt;/ref&amp;gt; &lt;br /&gt;
** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4  Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;03/25/2022&#039;&#039;&#039; Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG&lt;br /&gt;
*&#039;&#039;&#039;03/04/2022&#039;&#039;&#039; Dave Dash - Decoding speech with MEG &amp;lt;ref&amp;gt;Dash D, Ferrari P, Wang J. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Front Neurosci. 2020;14:290. Published 2020 Apr 7. doi:10.3389/fnins.2020.00290&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Wisler A, Ferrari P, Davenport EM, Maldjian J, Wang J. MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 2020;8:182320-182337. doi:10.1109/access.2020.3028831&amp;lt;/ref&amp;gt;  &amp;lt;ref&amp;gt;Dash D, Ferrari P, Dutta S, Wang J. NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors (Basel). 2020;20(8):2248. Published 2020 Apr 16. doi:10.3390/s20082248&amp;lt;/ref&amp;gt; &lt;br /&gt;
**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)]&lt;br /&gt;
*&#039;&#039;&#039;01/28/2022&#039;&#039;&#039; Lina Teichmann - Bayes Factors for Time-series Decoding&lt;br /&gt;
**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)]&lt;br /&gt;
** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding]&lt;br /&gt;
** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code]&lt;br /&gt;
*&#039;&#039;&#039;12/03/2021&#039;&#039;&#039; Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: [https://pubmed.ncbi.nlm.nih.gov/28782682/ Deconstructing multivariate decoding for the study of brain function]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5825</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5825"/>
		<updated>2025-01-31T21:04:11Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* What is BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/&#039;&#039;&#039;derivatives&#039;&#039;&#039;/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/modality-specific-files/magnetoencephalography.html &amp;lt;br&amp;gt;&lt;br /&gt;
https://megcore.nih.gov/index.php/Mne_bids_pipeline &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
Plot FIDS works on the base MRI and doesn&#039;t require any prep. &amp;lt;br&amp;gt;&lt;br /&gt;
To plot the 3D coreg - Freesurfer must be processed on the subject and the MRI preprocessing must have been completed &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5824</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5824"/>
		<updated>2025-01-31T21:03:43Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* What is BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/modality-specific-files/magnetoencephalography.html &amp;lt;br&amp;gt;&lt;br /&gt;
https://megcore.nih.gov/index.php/Mne_bids_pipeline &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
Plot FIDS works on the base MRI and doesn&#039;t require any prep. &amp;lt;br&amp;gt;&lt;br /&gt;
To plot the 3D coreg - Freesurfer must be processed on the subject and the MRI preprocessing must have been completed &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5823</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5823"/>
		<updated>2025-01-31T20:59:00Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* What is BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/ &amp;lt;br&amp;gt;&lt;br /&gt;
https://megcore.nih.gov/index.php/Mne_bids_pipeline &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
Plot FIDS works on the base MRI and doesn&#039;t require any prep. &amp;lt;br&amp;gt;&lt;br /&gt;
To plot the 3D coreg - Freesurfer must be processed on the subject and the MRI preprocessing must have been completed &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5822</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5822"/>
		<updated>2025-01-31T20:21:34Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* MRI Viewing */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
Plot FIDS works on the base MRI and doesn&#039;t require any prep. &amp;lt;br&amp;gt;&lt;br /&gt;
To plot the 3D coreg - Freesurfer must be processed on the subject and the MRI preprocessing must have been completed &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5821</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5821"/>
		<updated>2025-01-31T20:21:20Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* MRI Viewing */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
Plot FIDS works on the base MRI and doesn&#039;t require any prep.&lt;br /&gt;
To plot the 3D coreg - Freesurfer must be processed on the subject and the MRI preprocessing must have been completed &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5820</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5820"/>
		<updated>2025-01-31T20:20:33Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* MRI Viewing */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
To plot the 3D coreg - Freesurfer must be processed on the subject and the MRI preprocessing must have been completed &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5819</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5819"/>
		<updated>2025-01-31T20:16:14Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* QA GUI Overview */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If there are issues launch the gui from the BIDS directory &lt;br /&gt;
  cd &amp;lt;&amp;lt;PATH to BIDS DIR&amp;gt;&amp;gt;&lt;br /&gt;
  bids_qa_gui.py -bids_root $(pwd)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5816</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5816"/>
		<updated>2025-01-31T19:19:53Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Launch the GUI: (will eventually add this to the path -- currently needs to call with the full path) &lt;br /&gt;
  /vf/users/MEGmodules/modules/mne1.5.1dev_extras/nih_to_mne/nih2mne/GUI/trigger_code_gui.py&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5815</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5815"/>
		<updated>2025-01-31T19:13:42Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.  For example a separate logfile that has been been processed into a csv can be read into pandas (pd.read_csv) and appended to the larger dataframe.  Then events from the logfile can be used to generate derivative events using the parse_marks command.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5814</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5814"/>
		<updated>2025-01-31T19:10:39Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After confirming that the processing script works on your dataset - it is beneficial to add this to your github repository for data reproducability.  &lt;br /&gt;
You can manually tweak the script as well -- it is just using dataframes to process the event coding.&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5813</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5813"/>
		<updated>2025-01-31T19:09:03Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Using the processing script: &amp;lt;br&amp;gt;&lt;br /&gt;
  # Set the permissions of the generated script to excecutable (Only needs to be done once)&lt;br /&gt;
  chmod +x trig_processing.sh   #Use whatever name you have saved out the file as&lt;br /&gt;
&lt;br /&gt;
  # Use the processing script to add the event coding into your dataset - This can be used on any data acquired with this protocol (and same trigger data lines)&lt;br /&gt;
  trig_processing.sh  &amp;lt;&amp;lt;DATAFILENAME.ds&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=MEG_Software_and_Analysis&amp;diff=5812</id>
		<title>MEG Software and Analysis</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=MEG_Software_and_Analysis&amp;diff=5812"/>
		<updated>2025-01-31T15:05:33Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* MEG Data Analysis */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== MEG Data Analysis ====&lt;br /&gt;
&lt;br /&gt;
This section covers all aspects of MEG data analysis. The following pages assume that you have [[afni.nimh.nih.gov|AFNI]] installed and have a reasonably good idea of how to use it.&lt;br /&gt;
&lt;br /&gt;
* [[CTF Tools|The CTF Tools in a Singularity Container]]&lt;br /&gt;
&lt;br /&gt;
* [[Pyctf|Accessing CTF Datasets from Python]]&lt;br /&gt;
&lt;br /&gt;
* [[Time Frequency Analysis|Time Frequency Analysis Tools]]&lt;br /&gt;
&lt;br /&gt;
* [[Head Localization and MRI Coregistration|Head Localization and MRI Co-Registration]]&lt;br /&gt;
&lt;br /&gt;
* [[Source Localization - SAM|Source Localization - the SAM pipeline]]&lt;br /&gt;
&lt;br /&gt;
* [[Fun Stuff - How to make a movie| Fun Stuff - How to make a movie ]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* [[Organizing_an_MEG_project | Organizing_an_MEG_project]]&lt;br /&gt;
&lt;br /&gt;
* [[BIDS_GUIs | GUI: Creating and QA-ing MEG BIDS datasets + helpful preprocessing]]&lt;br /&gt;
&lt;br /&gt;
* [[MEG analysis on Biowulf| MEG analysis on Biowulf]]&lt;br /&gt;
&lt;br /&gt;
* [[Mne bids pipeline | MNE Bids Pipeline and BIDS background]]&lt;br /&gt;
&lt;br /&gt;
* [[External MEG Analysis Toolboxes | Other Software packages]]&lt;br /&gt;
&lt;br /&gt;
* Converting Brainsight Localizers or AFNI fiducials [https://github.com/nih-megcore/nih_to_mne to tags or MNE transforms]&lt;br /&gt;
&lt;br /&gt;
* Connectivity Analysis [[Connectivity Resources | Resources]]&lt;br /&gt;
&lt;br /&gt;
* ICA Cleaning/Analysis [[ICA cleaning | ICA]]&lt;br /&gt;
&lt;br /&gt;
* Github MEG Code for NIH Labs doing MEG research [[NIH Labs Github Pages | Github Links]]&lt;br /&gt;
&lt;br /&gt;
==== Basic Tutorials for New/Inexperienced Researchers====&lt;br /&gt;
&lt;br /&gt;
Most MEG Core scripts are written in bash, which is the command line interface to Linux. Python is a more powerful programming language, and Tom and Jeff have written some of our scripts in Python, but you don&#039;t really need to know how they work, just what they do. The AFNI tutorial below is geared towards fMRI/BOLD analysis. For MEG analysis you can ignore all the BOLD things, we just use it for statistics and display of the final source reconstruction results. If you want to go more in depth, Tom can explain the ones we use. Biowulf can be employed later when you want it all to go faster.&lt;br /&gt;
&lt;br /&gt;
* HPC: Introduction to Linux --  https://hpc.nih.gov/training/handouts/Introduction_to_Linux.pdf&lt;br /&gt;
* HPC: Bash Class -- https://hpc.nih.gov/training/bash_class/&lt;br /&gt;
* Python Tutorial -- https://docs.python.org/3/tutorial/&lt;br /&gt;
* AFNI Introduction -- https://andysbrainbook.readthedocs.io/en/latest/AFNI/AFNI_Short_Course/AFNI_fMRI_Intro.html&lt;br /&gt;
* HPC: Introduction to Biowulf -- https://hpc.nih.gov/training/intro_biowulf&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== Stimulus Presentation Software ====&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;PsychoPy: Psychology software in Python&#039;&#039;&#039;&lt;br /&gt;
[http://www.psychopy.org PsychoPy] is an open-source application that allows you to run a wide range of neuroscience, psychology and psychophysics experiments. It’s a free, powerful alternative to Presentation™ or to e-Prime™, written in Python (a free alternative to Matlab™ ).&lt;br /&gt;
*[[Image:pdf.png]] [[Media:PsychoPyManual.pdf| Pyschopy documentation for release 1.90.2]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Presentation: NeuroBehavioral Systems (NBS), Inc.&#039;&#039;&#039;&lt;br /&gt;
Presentation® is a stimulus delivery and experiment control program for neuroscience written for Microsoft Windows.&lt;br /&gt;
* [https://www.neurobs.com/presentation/docs/index_html Presentation online documentation]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;E-prime 3: Psychology Software Tools&#039;&#039;&#039;&lt;br /&gt;
E-Prime® 3.0 software for behavioral research. &#039;&#039;Build your own experiments using E-Prime’s easy-to-use graphical interface. Design, collect, and analyze data – all within a few hours!&#039;&#039;&lt;br /&gt;
* [https://pstnet.com/products/e-prime/ E-Prime 3.0 website]&lt;br /&gt;
&lt;br /&gt;
====Miscellaneous Documentation====&lt;br /&gt;
&lt;br /&gt;
* [[Image:adobe-ps.png]] [[Media:SensLayout-275.ps|SensLayout-275]] — a color picture showing the sensor names and relative locations (ps).&lt;br /&gt;
* [[Image:pdf.png]] [[Media:SensLayout-275.pdf|SensLayout-275]] - a color picture showing the sensor names and relative locations (pdf).&lt;br /&gt;
* [[Image:pdf.png]] [[Media:FileFormats.pdf|File Formats]] - CTF MEG data file format&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Standard_analysis_design_steps&amp;diff=5811</id>
		<title>Standard analysis design steps</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Standard_analysis_design_steps&amp;diff=5811"/>
		<updated>2025-01-31T15:03:50Z</updated>

		<summary type="html">&lt;p&gt;Jstout: Jstout moved page Standard analysis design steps to Organizing an MEG project&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[Organizing an MEG project]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Organizing_an_MEG_project&amp;diff=5810</id>
		<title>Organizing an MEG project</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Organizing_an_MEG_project&amp;diff=5810"/>
		<updated>2025-01-31T15:03:50Z</updated>

		<summary type="html">&lt;p&gt;Jstout: Jstout moved page Standard analysis design steps to Organizing an MEG project&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Below are some general guidelines that help you analyze your data&amp;lt;br&amp;gt;&lt;br /&gt;
Thinking about this early on, is extremely helpful as it can prevent you from acquired a lot of data without the required inputs.  Some things can not be corrected after the fact&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Create a github page of the project=&lt;br /&gt;
Sign up for a github account: github.com &amp;lt;br&amp;gt;&lt;br /&gt;
Create a github page of the project - this page can initially be a private repository if you prefer.  Try to give it a reasonably focused name and NOT just Data_Analysis.  This type of setup is often required for publication and can be very helpful in the understanding of the study for reproducibility.  This excercise is very important in thinking about your end goal - otherwise your data analysis can become a wandering mess.  Below are some things that are very helpful to put on a data analysis repository.&lt;br /&gt;
==Describe the data acquisition task by task==&lt;br /&gt;
Auditory M100 task:&lt;br /&gt;
  Tone burst auditory stimuli were delivered bilaterally to the subject using the ....&lt;br /&gt;
&lt;br /&gt;
Somatosensory task:&lt;br /&gt;
  Pneumatic stimulation was performed on the index finger at a rate of approximately 2 times per second with a jitter of 20 ms ...&lt;br /&gt;
&lt;br /&gt;
==For each task describe the auxilliary channels:==&lt;br /&gt;
 UADC001 was used for left hand patient responses&lt;br /&gt;
 UADC002 was used for right hand patient responses&lt;br /&gt;
 UADC016 was used for the projector channel to correct for timing delays&lt;br /&gt;
 UPPT001 codes the stimuli values&lt;br /&gt;
&lt;br /&gt;
===Describe what each PPT value codes===&lt;br /&gt;
 2: congruent word stimuli&lt;br /&gt;
 4: incongruent word stimuli&lt;br /&gt;
 6: distractor words&lt;br /&gt;
 8: high noise condition&lt;br /&gt;
 ....&lt;br /&gt;
&lt;br /&gt;
==If your logfile incorporates special data that is not in your meg dataset - list these entries==&lt;br /&gt;
The logfile codes out ...&lt;br /&gt;
&lt;br /&gt;
==If there is external data that is collected - describe how this will be incorporated with the data==&lt;br /&gt;
External camera data was used to judge facial expressions.  Timing triggers were sent to the&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Describe Your Hypothesis About The Results==&lt;br /&gt;
We expect to see activation in the left dorsolateral prefrontal area &amp;lt;br&amp;gt;&lt;br /&gt;
Timing - Prior literature has shown that &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=Add Markerfile information / Oragnize Data / QA Data=&lt;br /&gt;
[[https://megcore.nih.gov/index.php/BIDS_GUIs  BIDS GUI information]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Organizing_an_MEG_project&amp;diff=5809</id>
		<title>Organizing an MEG project</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Organizing_an_MEG_project&amp;diff=5809"/>
		<updated>2025-01-31T15:02:32Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Describe Your Hypothesis About The Results */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Below are some general guidelines that help you analyze your data&amp;lt;br&amp;gt;&lt;br /&gt;
Thinking about this early on, is extremely helpful as it can prevent you from acquired a lot of data without the required inputs.  Some things can not be corrected after the fact&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Create a github page of the project=&lt;br /&gt;
Sign up for a github account: github.com &amp;lt;br&amp;gt;&lt;br /&gt;
Create a github page of the project - this page can initially be a private repository if you prefer.  Try to give it a reasonably focused name and NOT just Data_Analysis.  This type of setup is often required for publication and can be very helpful in the understanding of the study for reproducibility.  This excercise is very important in thinking about your end goal - otherwise your data analysis can become a wandering mess.  Below are some things that are very helpful to put on a data analysis repository.&lt;br /&gt;
==Describe the data acquisition task by task==&lt;br /&gt;
Auditory M100 task:&lt;br /&gt;
  Tone burst auditory stimuli were delivered bilaterally to the subject using the ....&lt;br /&gt;
&lt;br /&gt;
Somatosensory task:&lt;br /&gt;
  Pneumatic stimulation was performed on the index finger at a rate of approximately 2 times per second with a jitter of 20 ms ...&lt;br /&gt;
&lt;br /&gt;
==For each task describe the auxilliary channels:==&lt;br /&gt;
 UADC001 was used for left hand patient responses&lt;br /&gt;
 UADC002 was used for right hand patient responses&lt;br /&gt;
 UADC016 was used for the projector channel to correct for timing delays&lt;br /&gt;
 UPPT001 codes the stimuli values&lt;br /&gt;
&lt;br /&gt;
===Describe what each PPT value codes===&lt;br /&gt;
 2: congruent word stimuli&lt;br /&gt;
 4: incongruent word stimuli&lt;br /&gt;
 6: distractor words&lt;br /&gt;
 8: high noise condition&lt;br /&gt;
 ....&lt;br /&gt;
&lt;br /&gt;
==If your logfile incorporates special data that is not in your meg dataset - list these entries==&lt;br /&gt;
The logfile codes out ...&lt;br /&gt;
&lt;br /&gt;
==If there is external data that is collected - describe how this will be incorporated with the data==&lt;br /&gt;
External camera data was used to judge facial expressions.  Timing triggers were sent to the&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Describe Your Hypothesis About The Results==&lt;br /&gt;
We expect to see activation in the left dorsolateral prefrontal area &amp;lt;br&amp;gt;&lt;br /&gt;
Timing - Prior literature has shown that &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=Add Markerfile information / Oragnize Data / QA Data=&lt;br /&gt;
[[https://megcore.nih.gov/index.php/BIDS_GUIs  BIDS GUI information]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=Organizing_an_MEG_project&amp;diff=5808</id>
		<title>Organizing an MEG project</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=Organizing_an_MEG_project&amp;diff=5808"/>
		<updated>2025-01-31T15:01:41Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Below are some general guidelines that help you analyze your data&amp;lt;br&amp;gt;&lt;br /&gt;
Thinking about this early on, is extremely helpful as it can prevent you from acquired a lot of data without the required inputs.  Some things can not be corrected after the fact&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Create a github page of the project=&lt;br /&gt;
Sign up for a github account: github.com &amp;lt;br&amp;gt;&lt;br /&gt;
Create a github page of the project - this page can initially be a private repository if you prefer.  Try to give it a reasonably focused name and NOT just Data_Analysis.  This type of setup is often required for publication and can be very helpful in the understanding of the study for reproducibility.  This excercise is very important in thinking about your end goal - otherwise your data analysis can become a wandering mess.  Below are some things that are very helpful to put on a data analysis repository.&lt;br /&gt;
==Describe the data acquisition task by task==&lt;br /&gt;
Auditory M100 task:&lt;br /&gt;
  Tone burst auditory stimuli were delivered bilaterally to the subject using the ....&lt;br /&gt;
&lt;br /&gt;
Somatosensory task:&lt;br /&gt;
  Pneumatic stimulation was performed on the index finger at a rate of approximately 2 times per second with a jitter of 20 ms ...&lt;br /&gt;
&lt;br /&gt;
==For each task describe the auxilliary channels:==&lt;br /&gt;
 UADC001 was used for left hand patient responses&lt;br /&gt;
 UADC002 was used for right hand patient responses&lt;br /&gt;
 UADC016 was used for the projector channel to correct for timing delays&lt;br /&gt;
 UPPT001 codes the stimuli values&lt;br /&gt;
&lt;br /&gt;
===Describe what each PPT value codes===&lt;br /&gt;
 2: congruent word stimuli&lt;br /&gt;
 4: incongruent word stimuli&lt;br /&gt;
 6: distractor words&lt;br /&gt;
 8: high noise condition&lt;br /&gt;
 ....&lt;br /&gt;
&lt;br /&gt;
==If your logfile incorporates special data that is not in your meg dataset - list these entries==&lt;br /&gt;
The logfile codes out ...&lt;br /&gt;
&lt;br /&gt;
==If there is external data that is collected - describe how this will be incorporated with the data==&lt;br /&gt;
External camera data was used to judge facial expressions.  Timing triggers were sent to the&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Describe Your Hypothesis About The Results==&lt;br /&gt;
We expect to see activation in the left dorsolateral prefrontal area &amp;lt;br&amp;gt;&lt;br /&gt;
Timing - Prior literature has shown that &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=Add Markerfile information / Oragnize Data / QA Data&lt;br /&gt;
[[https://megcore.nih.gov/index.php/BIDS_GUIs | BIDS GUI information]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5807</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5807"/>
		<updated>2025-01-28T14:54:48Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 900px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5806</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5806"/>
		<updated>2025-01-28T14:54:15Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 900px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5805</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5805"/>
		<updated>2025-01-28T14:48:02Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 700px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
Click create script to generate a script that can be used for all subjects under this protocol &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Event_processing_generated_script.png | 700px]]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=File:Event_processing_generated_script.png&amp;diff=5804</id>
		<title>File:Event processing generated script.png</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=File:Event_processing_generated_script.png&amp;diff=5804"/>
		<updated>2025-01-28T14:46:23Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5803</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5803"/>
		<updated>2025-01-28T14:44:43Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 700px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events not selected will be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, Correct Rejection)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5802</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5802"/>
		<updated>2025-01-28T14:32:39Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 700px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line) &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called.&lt;br /&gt;
Click the &#039;&#039;&#039;ADD&#039;&#039;&#039; button.  This will add a new line and add this event to the dropdown list and the keep events panel at the bottom &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parse marks takes two &amp;quot;named&amp;quot; inputs from above and allows you to compare their trigger timing to create a new event.  Use the dropdown menus to select an event for comparison.  The checkboxes next to the dropdowns determine which event codes the timing of the derived event.  The new name of the event is entered at the end of the line.  Hit the set button to add this new event to the list of names.  Hit the add button to create a new line for parsing -- the event that you just created can now be used to parse additional events. &amp;lt;br&amp;gt;&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events can be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, ...)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5801</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5801"/>
		<updated>2025-01-28T14:30:45Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 700px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
The derivative event panel allows you to make new events from other events. &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lead event from the dropdown (the menu will display any events that have been established above the current line &amp;lt;br&amp;gt;&lt;br /&gt;
Select a lag event from the dropdown &amp;lt;br&amp;gt;&lt;br /&gt;
Click the checkbox next to the event that should establish the timing. &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the window to search from the lead event (this can include negative numbers in the initial entry) &amp;lt;br&amp;gt;&lt;br /&gt;
Enter the name that the new derivative event will be called and hit the &#039;&#039;&#039;ADD&#039;&#039;&#039; button &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parse marks takes two &amp;quot;named&amp;quot; inputs from above and allows you to compare their trigger timing to create a new event.  Use the dropdown menus to select an event for comparison.  The checkboxes next to the dropdowns determine which event codes the timing of the derived event.  The new name of the event is entered at the end of the line.  Hit the set button to add this new event to the list of names.  Hit the add button to create a new line for parsing -- the event that you just created can now be used to parse additional events. &amp;lt;br&amp;gt;&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events can be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, ...)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5800</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5800"/>
		<updated>2025-01-28T14:20:24Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
This will read all trigger lines (analog and digital) and populate lines &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 700px]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
Hitting the &#039;&#039;&#039;Update Event Names&#039;&#039;&#039; button to access the derivative event menu.  You can now make events from other events. &#039;&#039;&#039;DO NOT EDIT THE TOP PANEL AFTER HITTING THIS BUTTON&#039;&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_entry.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parse marks takes two &amp;quot;named&amp;quot; inputs from above and allows you to compare their trigger timing to create a new event.  Use the dropdown menus to select an event for comparison.  The checkboxes next to the dropdowns determine which event codes the timing of the derived event.  The new name of the event is entered at the end of the line.  Hit the set button to add this new event to the list of names.  Hit the add button to create a new line for parsing -- the event that you just created can now be used to parse additional events. &amp;lt;br&amp;gt;&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events can be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, ...)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=File:Trigger_gui_initial_entry.png&amp;diff=5799</id>
		<title>File:Trigger gui initial entry.png</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=File:Trigger_gui_initial_entry.png&amp;diff=5799"/>
		<updated>2025-01-28T14:15:39Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5798</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5798"/>
		<updated>2025-01-28T14:15:05Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* Prep Data for BIDS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:Trigger_gui_parsemarks_demo.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parse marks takes two &amp;quot;named&amp;quot; inputs from above and allows you to compare their trigger timing to create a new event.  Use the dropdown menus to select an event for comparison.  The checkboxes next to the dropdowns determine which event codes the timing of the derived event.  The new name of the event is entered at the end of the line.  Hit the set button to add this new event to the list of names.  Hit the add button to create a new line for parsing -- the event that you just created can now be used to parse additional events. &amp;lt;br&amp;gt;&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events can be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, ...)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=File:Trigger_gui_parsemarks_demo.png&amp;diff=5797</id>
		<title>File:Trigger gui parsemarks demo.png</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=File:Trigger_gui_parsemarks_demo.png&amp;diff=5797"/>
		<updated>2025-01-28T14:14:12Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5796</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5796"/>
		<updated>2025-01-28T13:58:24Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Trigger_gui_initial_loading.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parse marks takes two &amp;quot;named&amp;quot; inputs from above and allows you to compare their trigger timing to create a new event.  Use the dropdown menus to select an event for comparison.  The checkboxes next to the dropdowns determine which event codes the timing of the derived event.  The new name of the event is entered at the end of the line.  Hit the set button to add this new event to the list of names.  Hit the add button to create a new line for parsing -- the event that you just created can now be used to parse additional events. &amp;lt;br&amp;gt;&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events can be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, ...)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=File:Trigger_gui_initial_loading.png&amp;diff=5795</id>
		<title>File:Trigger gui initial loading.png</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=File:Trigger_gui_initial_loading.png&amp;diff=5795"/>
		<updated>2025-01-28T13:55:12Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5794</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5794"/>
		<updated>2025-01-24T21:55:31Z</updated>

		<summary type="html">&lt;p&gt;Jstout: /* On Biowulf */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=24G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parse marks takes two &amp;quot;named&amp;quot; inputs from above and allows you to compare their trigger timing to create a new event.  Use the dropdown menus to select an event for comparison.  The checkboxes next to the dropdowns determine which event codes the timing of the derived event.  The new name of the event is entered at the end of the line.  Hit the set button to add this new event to the list of names.  Hit the add button to create a new line for parsing -- the event that you just created can now be used to parse additional events. &amp;lt;br&amp;gt;&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events can be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, ...)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
	<entry>
		<id>https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5793</id>
		<title>BIDS GUIs</title>
		<link rel="alternate" type="text/html" href="https://megcore.nih.gov/index.php?title=BIDS_GUIs&amp;diff=5793"/>
		<updated>2025-01-24T21:50:19Z</updated>

		<summary type="html">&lt;p&gt;Jstout: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is BIDS==&lt;br /&gt;
https://bids-specification.readthedocs.io/en/stable/&lt;br /&gt;
&lt;br /&gt;
BIDS is a standard specification for neuroimaging/physiology data. This currently includes at least: MRI, fMRI, DTI, EEG, MEG, fNIRS (and possibly ECOG/sEEG). BIDS typically describes how RAW data is organized - and processed data is located in the bids_dir/derivatives/{AnalysisPackage}/{SUBJECT}/... The main advantage is that common code can be generated to process data organized in a standard format. Therefore, you should be able to import the bids data into any number of neurophysiological packages (MNE, Brainstorm, SPM, Fieldtrip, ...). Additionally, standardized processing packages known as BIDS apps can be used to process the data in the same way as long as the data is organized in BIDS.&lt;br /&gt;
&lt;br /&gt;
==Biowulf Setup==&lt;br /&gt;
https://megcore.nih.gov/index.php/MEG_Biowulf_Setup&lt;br /&gt;
&lt;br /&gt;
==On Biowulf==&lt;br /&gt;
Log into biowulf using NoMachine. Setup instructions here: https://hpc.nih.gov/docs/nx.html &amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: Remember to change the resolution to be close to your monitor (top right corner)  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On biowulf open a terminal and start a compute node using the commands below&lt;br /&gt;
 sinteractive --mem=16G --cpus-per-task=4 --gres=lscratch:50  #adjust mem and cpus accordingly&lt;br /&gt;
&lt;br /&gt;
 module use --append /data/MEGmodules/modulefiles&lt;br /&gt;
 module load mne/dev1.5.1&lt;br /&gt;
&lt;br /&gt;
==Prep Data for BIDS==&lt;br /&gt;
Add event coding to the datasets before converting to bids&lt;br /&gt;
  This section is under construction&lt;br /&gt;
&lt;br /&gt;
Open a dataset:    &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Name all of the appropriate trigger lines (digital and analogue codes) &amp;lt;br&amp;gt;&lt;br /&gt;
The triggers can be evaluated on upgoing or downgoing portions of the trigger squarewave &amp;lt;br&amp;gt;&lt;br /&gt;
Anything not named cannot be used below to parse two input codes or to save out to the MarkerFile.mrk event code file &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parse marks takes two &amp;quot;named&amp;quot; inputs from above and allows you to compare their trigger timing to create a new event.  Use the dropdown menus to select an event for comparison.  The checkboxes next to the dropdowns determine which event codes the timing of the derived event.  The new name of the event is entered at the end of the line.  Hit the set button to add this new event to the list of names.  Hit the add button to create a new line for parsing -- the event that you just created can now be used to parse additional events. &amp;lt;br&amp;gt;&lt;br /&gt;
Once finished coding the events - the bottom panel determines which events are written to the Markerfile - intermediary events can be ignored&amp;lt;br&amp;gt;&lt;br /&gt;
D-prime coding is often used (Hit, Miss, False Alarm, ...)&lt;br /&gt;
&lt;br /&gt;
==Create BIDS Dataset Using GUI==&lt;br /&gt;
https://megcore.nih.gov/MEG/BIDS_gui_080224_anon.pdf&lt;br /&gt;
  make_meg_bids_gui.py&lt;br /&gt;
[[File:Make_meg_bids_gui_startup.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
=QA GUI Overview=&lt;br /&gt;
Launch the QA gui&lt;br /&gt;
 bids_qa_gui.py -bids_root &amp;lt;&amp;lt;PATH to BIDS dir&amp;gt;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Project Panel==&lt;br /&gt;
[[File:Project_panel_view.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
The project panel consists of tiles with each subject ID.  &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Subject ID Button&#039;&#039;&#039;:&lt;br /&gt;
* Meg: Number of MEG files&lt;br /&gt;
* Mri: If they have an MRI&lt;br /&gt;
* FS: Has the freesurfer been run and is successful&lt;br /&gt;
* EVT: Events pass QA  (Currently this is just green and doesn&#039;t QA)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;QA File&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Set the appropriate number of events in a successful meg dataset&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Top Right Dropdown&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Filter for specific tasks - this will adjust the color coding on the MEG &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run Freesurfer Button&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Submits freesurfer sbatch job to biowulf for each missing subject with an mri &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run MEGnet&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Currently a placeholder &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prev/Next&#039;&#039;&#039;: &amp;lt;br&amp;gt;&lt;br /&gt;
Advance to the next panel if more than a single grid of subjects is available &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Subject Panel==&lt;br /&gt;
[[File:Gui_subject_panel.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==Task Switcher==&lt;br /&gt;
Changing the task - shows the number of epochs in the selected task &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Subject_panel_switch_task_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
==MRI Viewing==&lt;br /&gt;
[[File:Plot_mri_views.png | 700px ]]&lt;br /&gt;
&lt;br /&gt;
==MEG Plotting==&lt;br /&gt;
Dropdown with MEG plotting options &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Meg_plotting_options.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot All MEG channels (unorganized view of All channels) &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_all.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot whole head - subset of meg channels representing the Left (top half) to Right (bottom half) display &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_fullview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Plot Trigger Channels &amp;lt;br&amp;gt;&lt;br /&gt;
Note the auditory delay added to the triggerline pulse &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Plot_meg_trigview.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
Setting BAD Channels and BAD Epochs (Must do WriteBads afterwards) &amp;lt;br&amp;gt;&lt;br /&gt;
1) Plot a dataset (montage56 is preferable) with a wide bandwidth filter fmin=0.5 and fmax=110.  The notch should be checked &amp;lt;br&amp;gt;&lt;br /&gt;
2) BAD Epochs: Click on &amp;quot;Add Description&amp;quot; &amp;gt;&amp;gt; Set the name.  The name &#039;&#039;&#039;must start&#039;&#039;&#039; with &#039;&#039;&#039;BAD_&#039;&#039;&#039; or it will not be written. &amp;lt;br&amp;gt;&lt;br /&gt;
3) Left click and drag to set a bad time period.    &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Select_bad_epochs.png | 700px]]&lt;br /&gt;
&lt;br /&gt;
4) Clicking on a channel will set it to grey.  This sets the channel to BAD (&#039;&#039;&#039;!!Warning it is easy to accidentally do this!!&#039;&#039;&#039;).  &amp;lt;br&amp;gt;&lt;br /&gt;
5) After closing the plot, you can then click the write Bad Channels and Bad Epochs. &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Write_bads_button.png | 700px]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[File:Bads_write_confirmation.png | 300px]]&lt;/div&gt;</summary>
		<author><name>Jstout</name></author>
	</entry>
</feed>