Predicting the pattern and severity of chronic post-stroke language deficits from functionally-partitioned structural lesions.
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ABSTRACT:
SUBMITTER: Halai AD
PROVIDER: S-EPMC6051318 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
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Predicting the pattern and severity of chronic post-stroke language deficits from functionally-partitioned structural lesions.
Halai Ajay D AD Woollams Anna M AM Lambon Ralph Matthew A MA
NeuroImage. Clinical 20180316
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 dicho ...[more]
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