Predicting language outcomes after stroke: Is structural disconnection a useful predictor?

ABSTRACT: For many years, researchers have sought to understand whether and when stroke survivors with acquired language impairment (aphasia) will recover. There is broad agreement that lesion location information should play some role in these predictions, but still no consensus on the best or right way to encode that information. Here, we address the emerging emphasis on the structural connectome in this work - specifically the claim that disrupted white matter connectivity conveys important, unique prognostic information for stroke survivors with aphasia. Our sample included 818 stroke patients extracted from the PLORAS database, which associates structural MRI from stroke patients with language assessment scores from the Comprehensive Aphasia Test (CAT) and basic demographic. Patients were exclu

SUBMITTER: Hope TMH 

PROVIDER: S-EPMC6051761 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature