Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia.
Anne BillotSha LaiMaria VarkanitsaEmily J BraunBrenda RappTodd B ParrishJames P HigginsAjay S KuraniDavid CaplanCynthia K ThompsonPrakash IshwarMargrit BetkeSwathi KiranPublished in: Stroke (2022)
While behavioral, multimodal neuroimaging data and demographic information carry complementary information in predicting response to rehabilitation in chronic poststroke aphasia, functional connectivity of the brain at rest after stroke is a particularly important predictor of responsiveness to treatment, both alone and combined with other patient-related factors.