MEG is a neuroimaging technology for cognitive and clinical brain research that measures non-invasively the tiny magnetic fields generated by neuronal currents. A unique asset of MEG imaging is its unrivaled temporal resolution, reaching the millisecond time scale across the entire brain volume. On the clinical side, MEG has been typically indicated for the pre-surgical work-up of severe, drug-resistant epilepsy and the functional pre-surgical mapping of brain tumors. However great potential exists to use MEG to investigate other neurological syndromes and neuropsychiatric disorders (e.g., stroke, dementia, movement disorders, depression, etc.). Overall, MEG has strong value in revealing the dynamics of brain activity involved in perception and cognition: it has provided unique insight on the time-resolved processes ruling brain functions (resting-state dynamics, language, motor control, visual and auditory perception, etc.) and dysfunctions (movement disorders, tinnitus, chronic pain, dementia, etc.). There are about 200 MEG centers worldwide. The MEG community is constantly contributing new methods and improving software tools to make the technique more accessible to a wider range of investigators.
The MEG Program @ McGill was created on September 2011. Our mission is to provide state-of-the-art support and expertise to investigators interested in MEG as a tool for their cognitive and clinical neuroscience studies.
We offer expertise, training and support to all investigators interested in learning about MEG and performing a MEG study. Contact the Director of the MEG Core for inquiries and more information. We also develop our own research in the neuroSPEED laboratory.
MEG Core Staff
Director, MEG Core
|sylvain [dot] baillet [at] mcgill [dot] ca (subject: MEG%20resources%20at%20McGill) (Prof Sylvain Baillet)|
MEG System Manager
Senior Software Developer
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Learn more about MEG
|Browse this summary of the MEG core platform at McGill|
- Tutorial pages of the Canada MEG Consortium web site,
- Hands-on training with the tutorial datasets of our comprehensive Brainstorm software
- Check the archives of past software training sessions (slides, tutorials, pictures)
- Lecture slides from the 2011 CMC training workshop (MNI, Nov 17–19, 2011).