Resting-state brain network connectivity is an independent predictor of responsiveness to language therapy in chronic post-stroke aphasia.

ABSTRACT: Post-stroke aphasia recovery, especially in the chronic phase, is challenging to predict. Functional integrity of the brain and brain network topology have been suggested as biomarkers of language recovery. This study sought to investigate functional connectivity in four predefined brain networks (i.e., language, default mode, dorsal attention, and salience networks), in relation to aphasia severity and response to language therapy. Thirty patients with chronic post-stroke aphasia were recruited and received a treatment targeting word finding. Structural and functional brain scans were acquired at baseline and resting state functional connectivity for each network was calculated. Additionally, graph measures quantifying network properties were calculated for each network. These included gl

SUBMITTER: Falconer I 

PROVIDER: S-EPMC11188988 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature