Santeri Ruuskanen

This study examines brain dynamics during leader-follower coordination using MEG and kinematics, finding distinct spectral patterns in leaders and followers.

This paper introduces a deep learning framework, FC-CNN, to predict brain states from frequency-resolved MEG functional connectivity and shows it outperforms conventional methods in age prediction.

This study examines age-related changes in frequency-specific resting-state functional connectivity across the adult lifespan using MEG data and finds associations with sensorimotor function.