Predicting the pattern and severity of chronic post-stroke language deficits from functionally-partitioned structural lesions.

ABSTRACT: There is an ever-increasing wealth of knowledge arising from basic cognitive and clinical neuroscience on how speech and language capabilities are organised in the brain. It is, therefore, timely to use this accumulated knowledge and expertise to address critical research challenges, including the ability to predict the pattern and level of language deficits found in aphasic patients (a third of all stroke cases). Previous studies have mainly focused on discriminating between broad aphasia dichotomies from purely anatomically-defined lesion information. In the current study, we developed and assessed a novel approach in which core language areas were mapped using principal component analysis in combination with correlational lesion mapping and the resultant 'functionally-partitio

SUBMITTER: Halai AD 

PROVIDER: S-EPMC6051318 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature