Sam M. Doesburg

The paper introduces a source-level noise covariance model for resting-state MEG/EEG data, improving source reconstruction reliability by avoiding artificial baseline distortions.

This study uses MEG to map brain activation dynamics during naturalistic audiovisual stimuli, showing distinct patterns for visual and auditory stimuli classes.

This study compares MCMV and LCMV beamformers for estimating electrophysiological connectivity, showing MCMV reduces signal leakage and preserves short lag interactions.

The paper investigates atypical cortical thickness developmental trajectories in ASD using longitudinal neuroimaging data and finds that ASD shows decreased thinning in early adolescence and increased thinning later, associated with ADOS scores.