News and views from McGill's and the Montreal Neurological Institute's MEG Program. There are about 200 MEG centers worldwide.
MEG (Magnetoencephalography) is a neuroimaging technology for cognitive and clinical brain research. In a nutshell, MEG 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
02/18/2026
🚨new lab preprint; brain fingerprinting entirely revisited: Can we differentiate individuals from just seconds of neurophysiological recordings with machine learning, without resorting to black-box approaches? 🧠
In this work, Maxence Lapatrie says 'yes'.
https://www.biorxiv.org/content/10.64898/2026.02.10.705127v1
01/29/2026
🍾 First published work of 2026 from the lab.
Congratulations to recently graduated Dr Niloofar Gharesi on her study of reward prediction error processes in the brain, under the robust co-supervision of Prof John Kalaska at Université de Montréal.
https://www.biorxiv.org/content/10.64898/2026.01.23.701339v1
Centre de recherche du CHUM
The Neuro
11/29/2025
Please repost: another kind of Black-Friday deal!
09/29/2025
With MEG data collected on our system at The Neuro.
The PREVENT‐AD cohort: Accelerating Alzheimer's disease research and treatment in Canada and beyond The PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) is an investigator-driven study that was created in 2011 and enrolled cognitively normal older ...
09/26/2025
A fascinating update about how deep and fast MEG noninvasive imaging can be: differentiation between thalamus subnuclei, slow vs fast sleep spindles, and the talent and skills of Emily B.J. Coffey and her team.
Grateful for being aboard this collaborative work.
Exploring Deep Magnetoencephalography via Thalamo‐Cortical Sleep Spindles Results from functional connectivity analyses of MEG data (left) show that many thalamic nuclei can be distinguished via functional connectivity (right). However, results depend on the metric and con...
09/10/2025
How does the brain decide what we actually see? New collaborative study led by Janine Mendola, published open-access in iScience.
When each eye is presented with a different image, our perception flips back and forth between them. This phenomenon, called "binocular rivalry", opens a window into the nature of conscious visual perception.
We tracked, in real time with MEG imaging, how the brain coordinates these perceptual switches. We found that changes in brain rhythms determine when one image takes over, when perception becomes unstable, and how information flows between visual areas and higher-order regions.
One step toward better understanding the neurophysiological foundations of conscious experience. 🌈
🔗 https://doi.org/10.1016/j.isci.2025.113383
Star trainees in charge: Eric Mokri & Jason Da Silva Castanheira
09/04/2025
08/28/2025
PracticalMEEG-2025 is offering two early-bird fees for Brainstorm trainers until September 12 !
Register now and contribute to supporting the Brainstorm community ! ❤️
https://cuttingeeg.org/practicalmeeg2025/
08/06/2025
🧩🧠New release! OMEGA v3.1.1 is out—now with MEG-MRI co-registration for 480 participants 🎉 Manual alignment using original MRI+digitized head shape & fiducials. Includes BIDS-compliant landmarks+quality scores.
🔗 See “Co-registration” tab: https://www.mcgill.ca/bic/resources/omega
08/05/2025
🧠🚀 Announcing 𝐬𝐄𝐄𝐆-𝐒𝐔𝐈𝐓𝐄 𝐟𝐨𝐫 𝐁𝐫𝐚𝐢𝐧𝐬𝐭𝐨𝐫𝐦: open-source pipeline for multimodal intracranial ephys /epilepsy research: CT→MRI coreg, GARDEL contact localization, atlas labelling, seizure fingerprinting, source analysis—all in one GUI.
https://neuroimage.usc.edu/brainstorm/seeg/ct2mri