Club MEG: Difference between revisions
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* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules |
* Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules |
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**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)] |
**[https://megcore.nih.gov/MEG/Stout_MNE-BIDStutorial_10212022.mp4 Recording Download (mp4)] |
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**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_ClubMEG_bids_10212022.pdf Slides] |
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**[[Image:pdf.png]] [https://megcore.nih.gov/MEG/Stout_mne-bids_example_use_10212022.pdf mne-bids example usage] |
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* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo |
* John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo |
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**https://github.com/john-veillette/mne-ari |
**https://github.com/john-veillette/mne-ari |
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**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)] |
**[https://megcore.nih.gov/MEG/TomHolroyd_SAM-SER-RealtimeAnalysis_09302022.mp4 Recording Download (mp4)] |
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* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview |
* Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview |
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** https://jov.arvojournals.org/article.aspx?articleid=2772164 |
** [[Image:pdf.png]] https://jov.arvojournals.org/article.aspx?articleid=2772164 |
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** https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf |
** [[Image:pdf.png]] https://www.biorxiv.org/content/10.1101/2021.07.09.451139v1.full.pdf |
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** [[Image:pdf.png]] [https://megcore.nih.gov/MEG/ClubMeg_EyeTracking_09092022.pdf Slides] |
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** Powerpoint to be uploaded soon |
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* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]] |
* Group Session (08/12/2022) - Connectivity Coding Zoom Call [[Meg_information_based_connectivity_coding_session]] |
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*Andrea Brovelli & Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats) |
*Andrea Brovelli & Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats) |
Revision as of 17:58, 26 October 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
- 10/28/2022 at 1:00pm Club MEG: (Presentation) The neural mechanisms of afterimages: A model of illusory conscious perception - Sharif Kronemer
- 11/18/2022 at 1:00pm Club MEG: (Journal Club) - Anna Namyst
- 01/20/2023 at 1:00pm Club MEG: Lucrezia Liuzzi
- 02/17/2023 at 1:00pm Club MEG: Gustavo Sudre
- Date TBD Club MEG: Abbas Babajani-Feremi - (University of Florida)
Recent Talks/Discussions
- 10/07/2022 - Sarah Grewal - On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children (Journal Article)
- 09/16/2022 Lindsay Oberman - Autism background, MEG autism biomarkers, interventional approach, and preliminary study results
- 09/15/2022 Biomag 2022 Recap
- 08/19/2022 Kunjan Rana - Communication Between the Amygdala and Cortex in the Context of Face Processing
- 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
- 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
- 10/22/2021 Stephen Robinson, Fundamentals of Beamformers (mp4)
- 10/23/2020 Angela Wang and Tom Holroyd, Neurofeedback Discussion.
- Slides: Neurofeedback Review; Real-time Beamforming.
Previous Tutorials and Training
- Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules
- John Veillette, University of Chicago (10/14/2022) - MNE-ARI (All Resolutions Imaging) Theoretical Overview and Demo
- Tom Holroyd (09/30/2022) - Demonstration of SAM beamforming using Sequential Regression (SER) covariance updating for real-time analysis
- Anna Namyst and Jeff Stout (09/09/2022) - Eye Tracking Overview
- Group Session (08/12/2022) - Connectivity Coding Zoom Call Meg_information_based_connectivity_coding_session
- Andrea Brovelli & Etienne Combrisson, Institut de Neurosciences de la Timone (07/13/2022) - FRITES Theoretical Overview and Demo (Connectivity Calculation and Stats)
- MEG Hackathon 05/06/2022
- Eric Earl (04/27/2022) - Github Presentation and Discussion
- 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