Club MEG
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 (NIH MEG Core Users only) and Club-MEG_ANNOUNCE listservs.
Upcoming Talks/Discussions
- 09/27(Wednesday) & 10/04/2023(Wednesday)
- 10/16-10/19/23 - CuttingGardens: (CuttingEEG group) - https://cuttinggardens2023.org
- 10/20/2023 at 1:00pm Club MEG: (Multi-Presenter: 3x 15min talks)
- Elena Hayday
- Pei Robins
- Amy Xu
- 11/08/2023-11/09/2023 MEG North America (at NIH campus) - https://megcore.nih.gov/index.php/MEG_North_America_Workshop
- 12/15/2023 at 1:00pm Shivam Bansal - Naturalistic Stimuli MEG Analysis
- 01/12/2024 Megan Parker
- 02/09/2024 Yoojin Lee
- 03/--/2024 Possibly DC Brainhack
Recent Talks/Discussions
- 08/18/2023 Arshitha Basavaraj and Jeff Stout - Curating / Uploading / Editing / Versioning MEG BIDS data for OpenNeuro
- 08/04/2023 Sue Tong and Daniel Eisenberg - Schizophrenia, antipsychotic treatment, and cortical function
- 07/28/2023 Riley Hochstein - Magnetocardiography with OPMs
- 06/30/2023 Club MEG: (Multi-Presenter: 3x 15min talks)
- Sebastian Montesinos
- Miguel Jaime
- Bess Bloomer
- 05/19/2023 Club MEG: (Multi-Presenter: 3X 15min talks)
- Angela Wang
- Price Withers
- Kaya Scheman
- 05/12/2023 Christian Brodbeck (University of Connecticut) - Eelbrain Software Demonstration (for neurophysiological statistics)
- 05/05/2023 -- MEG Hackathon 2023
- 04/28/2023 at 1:00pm Club MEG: Abbas Babajani-Feremi - (University of Florida) - MEG Presurgical Language Mapping Using a Novel Automatic Equivalent Current Dipole Algorithm (AsECDa) in Comparison with MNE, dSPM, and DICS Beamformer
- 04/21/2023 at 1:00pm Hackathon Prep -- Go over ideas and best practices - setup git repos for the project.
- 03/03/2023 Graham Flick (New York University) - Visual word recognition in natural reading: A co-registered MEG and eye-tracking study
- 02/24/2023 Georgios Michalareas (Max Planck Institute) - Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas
- 02/03/2023 Lina Teichman and Amaia Benitez Andonegui - The temporal evolution of colour-space geometries in the human brain
- 01/27/2023 Lucrezia Liuzzi - Identifying markers of cognitive control
- 12/09/2022 Ryan Oakeson and Amaia Benitez, Top-down information flow drives lexical access when listening to continuous speech
- 12/02/2022 Anna Namyst, Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts
- 10/28/2022 - Sharif Kronemer - "The neural mechanisms of afterimages: A model of illusory conscious perception"
- 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.
- Slides:
Previous Tutorials and Training
- Jeff Stout (02/17/2023) - Making python modules
- Jeff Stout (10/21/2022) - MNE_BIDS/MNE_BIDS_PIPELINE/Biowulf MEG Bids Modules
- Recording Download (mp4)
- Slides
- mne-bids example usage
- Additional Info (referenced in video): https://megcore.nih.gov/index.php/Mne_bids_pipeline
- 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