Timothy Bardouille

The paper validates a mobile OPM system for detecting neuromagnetic sensorimotor responses in humans, showing robust results for passive paradigms but less conclusive findings for cued movement tasks.

This study shows that beta power returns to baseline levels 4-5 seconds after movement, advocating for longer inter-stimulus intervals in PMBR research.

This paper evaluates the performance of a mobile MEG system using OPM sensors, showing effective noise reduction and accurate source localization.

This study uses convolutional neural networks to classify MEG data from cued button pressing and identifies key features influencing classification.