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Club MEG is our version of a journal club |
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Notifications of upcoming talks are sent to the MEG_ANNOUNCE listserv. |
Notifications of upcoming talks are sent to the [https://list.nih.gov/cgi-bin/wa.exe?A0=meg_announce MEG_ANNOUNCE] listserv. |
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== Upcoming Talks/Discussions == |
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Recently two members of our staff, Angela Wang and Tom Holroyd led a discussion on neurofeedback. Here are the slides: |
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* '''08/12/2022 at 1:00pm-3:00pm''' Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]] |
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* '''08/19/2022 at 1:00pm''' Club MEG: (Presentation) Communication Between the Amygdala and Cortex in the Context of Face Processing - Kunjan Rana |
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* '''09/02/2022 at 1:00pm''' ML SIG: (Journal Club) - Tom Holroyd |
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* '''09/16/2022 at 1:00pm''' Club MEG: (Journal Club) - Lindsay Oberman |
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* '''10/07/2022 at 1:00pm''' Club MEG: (Journal Club) - Sarah Grewal |
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* '''10/14/2022 at 1:00pm''' Club MEG: MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo - John Veillette - (University of Chicago) |
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**https://github.com/john-veillette/mne-ari |
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* '''10/28/2022 at 1:00pm''' Club MEG: (Journal Club) - Sharif Kronemer |
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* '''11/18/2022 at 1:00pm''' Club MEG: (Journal Club) - Anna Namyst |
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== Recent Talks/Discussions == |
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[[File:Neurofeedback_Review.pdf|neurofeedback review]] |
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* '''08/05/2022''' Shruti Japee - Temporal Dynamics of Facial Expression Processing |
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**[https://megcore.nih.gov/MEG/ShrutiJapee_ClubMEG_FacialExpressionDecoding_08052022.mp4 Recording Download (mp4)] |
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* '''05/20/2022''' Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy |
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**[https://megcore.nih.gov/MEG/PriyankaShah-Basak_ClubMEG_05202022.mp4 Recording Download (mp4)] |
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* '''05/13/2022''' Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response |
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**[https://megcore.nih.gov/MEG/JessGilbert_ClubMEG_05132022.mp4 Recording Download (mp4)] |
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* '''04/29/2022''' Ethan Buch [https://www.sciencedirect.com/science/article/pii/S2211124721005398?via%3Dihub Consolidation of human skill linked to waking hippocampo-neocortical replay] |
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** [https://megcore.nih.gov/MEG/EthanBuch_HumanSkill_ClubMEG_04292022.mp4 Recording Download (mp4)] |
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* '''04/08/2022''' Allison Nugent [https://doi.org/10.1038/s42003-021-01785-z Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization] |
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** [https://megcore.nih.gov/MEG/AllisonNugent_ClubMEGJournal_04082022.mp4 Recording Download (mp4)] |
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* '''03/10/2022''' Stephen Robinson - [https://megcore.nih.gov/MEG/Robinson_InformationTheoryMEG_ClubMEG_03102022.mp4 Using Information Theory for MEG Studies (mp4)] |
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* '''02/11/2022''' Megan Parker - [https://www.sciencedirect.com/science/article/pii/S000689931301500X?via%3Dihub Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)] |
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* '''11/12/2021''' Amaia Benitez, [https://megcore.nih.gov/MEG/ClubMEG_111221_AmaiaBenitez_OPMs&MCog.mp4 From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging (mp4)] |
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**Slides: [[File:Pdf.png|PDF]] [[Media:ClubMeg ABA OPMs 111221.pdf|OPM and MCog Research Introduction]] |
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*'''10/22/2021''' Stephen Robinson,[https://megcore.nih.gov/MEG/ClubMEG_Robinson_Beamforming_10222021.mp4 Fundamentals of Beamformers (mp4)] |
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**Slides: [[File:Pdf.png|PDF]] [[Media:StephenRobinson SAM Beamforming Talk 10222021.pdf|SAM Beamforming Fundamentals]] |
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*'''10/23/2020''' Angela Wang and Tom Holroyd, Neurofeedback Discussion. |
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**Slides: [[File:Pdf.png|PDF]] [[Media:Neurofeedback_Review.pdf|Neurofeedback Review]]; [[Media:RT-MEG.pdf|Real-time Beamforming]]. |
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== Previous Tutorials and Training == |
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[[File:RT-MEG.pdf|real-time beamforming]] |
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*Andrea Brovelli & Etienne Combrisson, FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats) - 07/13/2022 - (Institut de Neurosciences de la Timone) |
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**[https://megcore.nih.gov/MEG/FRITES_Tutorial_07132022.mp4 Recording Download (mp4)] |
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**[https://brainets.github.io/frites/ Website and Github Page] [https://github.com/brainets/CookingFrites Example Training Notebooks] |
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**[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] |
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*[https://megcore.nih.gov/index.php?title=MEG_Hackathon_2022 MEG Hackathon ] 05/06/2022 |
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*Eric Earl, Github Presentation and Discussion, 04/27/2022 |
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**[https://docs.google.com/presentation/d/15l6Pb6pUICPSsJi3shWLiAJNlCkngHi0fzht7FKeyqM/edit?usp=sharing Presentation Slides] [https://slides.com/ericearl/gh-repo Advanced Github Features] |
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** [https://megcore.nih.gov/MEG/EricEarl_ClubMEG_GitHubTutorial_04272022.mp4 Recording Download (mp4)] |
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**Additional Links: |
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***[https://osf.io/xt6pk/ ReadTheDocs] |
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***[https://osf.io/qcyhu/ BioDataClub OSF] |
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*Jeff Stout, Intro to Git, 04/12/2022 - |
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**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022.mp4 Recording Download] |
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**[https://megcore.nih.gov/MEG/JeffStout_GitTutorial_04122022_commands.txt Git Tutorial Commands ] |
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*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)] |
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*Fred Carver & Jeff Stout, [[Tutorial stats 011422| Tutorial Link]] (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python |
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**[https://megcore.nih.gov/MEG/ClubMEG_Carver&Stout_MNE&AFNI-GroupAnalysisTutorial_012122.mp4 Recording Download (mp4)] |
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*Jeff Stout, [[MNE Python Tutorial 2021]] -- Introduction to MEG processing with MNE Python |
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*NIMH MEG Core Staff, [[NIH MEG Short Course 2018]] -- Useful training materials. |
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== Special Interest Groups == |
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[https://megcore.nih.gov/index.php?title=Machine_Learning_SIG '''Machine Learning Special Interest Group'''] (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.</br> |
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'''''Prior ML SIG topics:''''' |
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* '''05/27/2022''' Jeff Stout - [https://www.sciencedirect.com/science/article/pii/S1053811921006777 MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks] |
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**[https://megcore.nih.gov/MEG/JeffStout_MEGnetOverview_ML-SIG_05292022.mp4 Recording Download (mp4)] |
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*'''04/15/2022''' Leonardo Claudino - Decoding Pipeline <ref> 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</ref><ref>https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay </ref> |
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** [https://megcore.nih.gov/MEG/LeoClaudino_DecodingPipeline_MEG-ML-SIG_04152022.mp4 Recording Download (mp4)] |
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*'''03/25/2022''' Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG |
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*'''03/04/2022''' Dave Dash - Decoding speech with MEG <ref>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</ref> <ref>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</ref> <ref>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</ref> |
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**[https://megcore.nih.gov/MEG/DebadattaDash_MEG-SpeechDecoding_ClubMEG_03042022.mp4 Recording Download (mp4)] |
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*'''01/28/2022''' Lina Teichmann - Bayes Factors for Time-series Decoding |
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**[https://megcore.nih.gov/MEG/Teichmann_MEGMachineLearningSIG_BayesFactorsTimeSeriesDecoding_01282022.mp4 Teichmann 01/28/22 Recording Download (mp4)] |
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** Slides: [[File:Pdf.png|PDF]] [https://megcore.nih.gov/MEG/Teichmann_BayesFactors_ClubMEG_01282022.pdf Bayes Factors for Time-Series Decoding] |
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** [https://www.biorxiv.org/content/10.1101/2021.06.23.449663v3.abstract Journal Article] and [https://github.com/LinaTeichmann1/BFF_repo Associated Code] |
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*'''12/03/2021''' 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] |
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==References== |
Revision as of 10:18, 11 August 2022
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.
Interested in presenting a topic? Email Fred Carver at carverf@nih.gov or Jeff Stout at stoutjd@nih.gov if you would like to present.
Notifications of upcoming talks are sent to the MEG_ANNOUNCE listserv.
Upcoming Talks/Discussions
- 08/12/2022 at 1:00pm-3:00pm Connectivity Coding Zoom Call Meg_information_based_connectivity_coding_session
- 08/19/2022 at 1:00pm Club MEG: (Presentation) Communication Between the Amygdala and Cortex in the Context of Face Processing - Kunjan Rana
- 09/02/2022 at 1:00pm ML SIG: (Journal Club) - Tom Holroyd
- 09/16/2022 at 1:00pm Club MEG: (Journal Club) - Lindsay Oberman
- 10/07/2022 at 1:00pm Club MEG: (Journal Club) - Sarah Grewal
- 10/14/2022 at 1:00pm Club MEG: MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo - John Veillette - (University of Chicago)
- 10/28/2022 at 1:00pm Club MEG: (Journal Club) - Sharif Kronemer
- 11/18/2022 at 1:00pm Club MEG: (Journal Club) - Anna Namyst
Recent Talks/Discussions
- 08/05/2022 Shruti Japee - Temporal Dynamics of Facial Expression Processing
- 05/20/2022 Priyanka Shah (Medical College of Wisconsin) - Resting Connectivity Changes in Temporal Lobe Epilepsy
- 05/13/2022 Jess Gilbert - MEG Studies of Treatment-Resistant Depression and Ketamine Response
- 04/29/2022 Ethan Buch Consolidation of human skill linked to waking hippocampo-neocortical replay
- 04/08/2022 Allison Nugent Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization
- 03/10/2022 Stephen Robinson - Using Information Theory for MEG Studies (mp4)
- 02/11/2022 Megan Parker - Neural regulatory mechanism of desire for food: revealed by magnetoencephalography (article)
- 11/12/2021 Amaia Benitez, From ECoG to Magnetocorticography: Optically Pumped Magnetometers for Non-Invasive, High Resolution Imaging (mp4)
- 10/22/2021 Stephen Robinson,Fundamentals of Beamformers (mp4)
- Slides: SAM Beamforming Fundamentals
- 10/23/2020 Angela Wang and Tom Holroyd, Neurofeedback Discussion.
- Slides: Neurofeedback Review; Real-time Beamforming.
Previous Tutorials and Training
- Andrea Brovelli & Etienne Combrisson, FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats) - 07/13/2022 - (Institut de Neurosciences de la Timone)
- MEG Hackathon 05/06/2022
- Eric Earl, Github Presentation and Discussion, 04/27/2022
- Jeff Stout, Intro to Git, 04/12/2022 -
- Jeff Stout, Intro Python, 03/29/2022 - Dictionaries/Functions/Scripts/Modules/commandline interface -- Recording Download (mp4)
- Fred Carver & Jeff Stout, Tutorial Link (01/21/22) -- MEG Group Data Analysis in AFNI and MNE Python
- Jeff Stout, MNE Python Tutorial 2021 -- Introduction to MEG processing with MNE Python
- NIMH MEG Core Staff, NIH MEG Short Course 2018 -- Useful training materials.
Special Interest Groups
Machine Learning Special Interest Group (ML SIG) - 4th Friday of every month 1-2pm. Contact Jeff Stout for more information on joining or presenting.
Prior ML SIG topics:
- 05/27/2022 Jeff Stout - MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks
- 04/15/2022 Leonardo Claudino - Decoding Pipeline [1][2]
- 03/25/2022 Mina Kheirkhah Rahimabadi - Classification of brain responses to emotional image stimuli measured with MEG
- 03/04/2022 Dave Dash - Decoding speech with MEG [3] [4] [5]
- 01/28/2022 Lina Teichmann - Bayes Factors for Time-series Decoding
- 12/03/2021 Initial meeting for Machine Learning in MEG SIG - Journal Club discussion: Deconstructing multivariate decoding for the study of brain function
References
- ↑ 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
- ↑ https://github.com/hcps-ninds/Replay ANALYSIS CODE: Consolidation of human skill linked to waking hippocampo-neocortical replay
- ↑ 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
- ↑ 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
- ↑ 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