Joseph C. Griffis

This study examines how domain-general cognition (g) affects lesion-deficit mapping by analyzing 473 patients with focal brain damage using structural and functional lesion network mapping.

The paper examines resting-state fMRI dynamics in a rat model of Alzheimer's disease, linking functional changes to amyloid levels and memory impairments, with better predictive power from pre-plaque stage CAPs.

The paper introduces an open-source MATLAB toolkit for inferential and predictive modeling of imaging-behavior and lesion-deficit relationships, demonstrating its use in analyzing language impairments linked to brain lesions.

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.

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.