Steven M. Stufflebeam

This paper develops a dynamic field nulling method for wearable OPM-MEG to improve motion tolerance and source localization accuracy during head movements.

This paper quantifies cerebellar signal detectability in MEG and EEG for epilepsy using anatomically informed source modeling, finding that depth and geometry, not proximity, primarily affect signal-to-noise ratio.

This study uses intracranial EEG and machine learning to show dynamic, activity-silent mechanisms maintain auditory working memory in humans.

The paper examines how beta and gamma frequency bands mediate different aspects of cortical resting-state network maturation from age 7 to 29.