Bayesian stroke modeling details sex biases in the white matter substrates of aphasia.

ABSTRACT: Ischemic cerebrovascular events often lead to aphasia. Previous work provided hints that such strokes may affect women and men in distinct ways. Women tend to suffer strokes with more disabling language impairment, even if the lesion size is comparable to men. In 1401 patients, we isolate data-led representations of anatomical lesion patterns and hand-tailor a Bayesian analytical solution to carefully model the degree of sex divergence in predicting language outcomes ~3 months after stroke. We locate lesion-outcome effects in the left-dominant language network that highlight the ventral pathway as a core lesion focus across different tests of language performance. We provide detailed evidence for sex-specific brain-behavior associations in the domain-general networks associated with cortic

SUBMITTER: Kernbach JM 

PROVIDER: S-EPMC10066402 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature