Functional anomaly mapping reveals local and distant dysfunction caused by brain lesions.

ABSTRACT: The lesion method has been important for understanding brain-behavior relationships in humans, but has previously used maps based on structural damage. Lesion measurement based on structural damage may label partly damaged but functional tissue as abnormal, and moreover, ignores distant dysfunction in structurally intact tissue caused by deafferentation, diaschisis, and other processes. A reliable method to map functional integrity of tissue throughout the brain would provide a valuable new approach to measuring lesions. Here, we use machine learning on four dimensional resting state fMRI data obtained from left-hemisphere stroke survivors in the chronic period of recovery and control subjects to generate graded maps of functional anomaly throughout the brain in individual patients. These

SUBMITTER: DeMarco AT 

PROVIDER: S-EPMC7292795 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature