Effective connectivity extracts clinically relevant prognostic information from resting state activity in stroke.

ABSTRACT: Recent resting-state functional MRI studies in stroke patients have identified two robust biomarkers of acute brain dysfunction: a reduction of inter-hemispheric functional connectivity between homotopic regions of the same network, and an abnormal increase of ipsi-lesional functional connectivity between task-negative and task-positive resting-state networks. Whole-brain computational modelling studies, at the individual subject level, using undirected effective connectivity derived from empirically measured functional connectivity, have shown a reduction of measures of integration and segregation in stroke as compared to healthy brains. Here we employ a novel method, first, to infer whole-brain directional effective connectivity from zero-lagged and lagged covariance matrices, then, to c

SUBMITTER: Adhikari MH 

PROVIDER: S-EPMC8557690 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature