Bayesian stroke modeling details sex biases in the white matter substrates of aphasia.
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ABSTRACT:
SUBMITTER: Kernbach JM
PROVIDER: S-EPMC10066402 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
Publications
Bayesian stroke modeling details sex biases in the white matter substrates of aphasia.
Kernbach Julius M JM Hartwigsen Gesa G Lim Jae-Sung JS Bae Hee-Joon HJ Yu Kyung-Ho KH Schlaug Gottfried G Bonkhoff Anna A Rost Natalia S NS Bzdok Danilo D
Communications biology 20230331 1
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 l ...[more]
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