Gordon L. Shulman

The paper shows spontaneous motor cortex activity in humans reflects somatotopic organization by replaying task-specific movement patterns more in corresponding motor subregions.

The paper uses generative whole-brain models trained on healthy data to predict functional connectivity changes in stroke patients by incorporating lesion-induced structural disconnections.

The paper introduces a MATLAB toolkit for quantifying grey matter damage and white matter disconnections in focal brain lesions, showing consistency with prior literature.

The paper shows that spontaneous activity in human motor cortex resembles common hand movements more than rare ones, suggesting it encodes behaviorally relevant patterns.

The paper investigates whether spontaneous brain activity in human visual cortex reflects stimulus-evoked patterns, finding that resting-state patterns are not biased toward specific stimuli but show category-specific fluctuations.

This study shows that focal brain lesions disrupt functional connectivity by causing both direct structural disconnections and increases in structural path lengths, leading to remote functional disruptions.

The paper investigates how structural disconnections, rather than damage to critical regions, explain functional connectivity disruptions and behavioral deficits after stroke.

This paper discusses strategies to improve the interpretation and reproducibility of functional connectivity studies in stroke using resting functional MRI.