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

Kernbach, J. M., Hartwigsen, G., Lim, J.-S., Bae, H.-J., Yu, K.-H., Schlaug, G., et al. (2023). Bayesian stroke modeling details sex biases in the white matter substrates of aphasia. Communications Biology, 6(1): 354. doi:10.1038/s42003-023-04733-1.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-CE84-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-C6B4-6
Genre: Journal Article

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 Creators:
Kernbach, Julius M.1, 2, 3, Author
Hartwigsen, Gesa4, Author                 
Lim, Jae-Sung5, Author
Bae, Hee-Joon6, Author
Yu, Kyung-Ho7, Author
Schlaug, Gottfried3, Author
Bonkhoff, Anna8, Author
Rost, Natalie S.8, Author
Bzdok, Danilo9, 10, Author
Affiliations:
1Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), RWTH Aachen University, Germany, ou_persistent22              
2Department of Neurosurgery, Faculty of Medicine, RWTH Aachen University, Germany, ou_persistent22              
3Music, Neuroimaging, and Stroke Recovery Laboratory, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, ou_persistent22              
4Lise Meitner Research Group Cognition and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3025665              
5Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine (UUCM), Seoul, Republic of Korea, ou_persistent22              
6Department of Neurology, Cerebrovascular Center, Seoul National University College of Medicine, Republic of Korea, ou_persistent22              
7Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea, ou_persistent22              
8J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, ou_persistent22              
9McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, QC, Canada, ou_persistent22              
10Mila – Quebec Artificial Intelligence Institute, Montréal, QC, Canada, ou_persistent22              

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Free keywords: Machine learning; Stroke
 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 cortico-subcortical pathways, with unique contributions of the fornix in women and cingular fiber bundles in men. Our collective findings suggest diverging white matter substrates in how stroke causes language deficits in women and men. Clinically acknowledging such sex disparities has the potential to improve personalized treatment for stroke patients worldwide.

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Language(s): eng - English
 Dates: 2022-07-262023-03-202023-03-312023-03-31
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s42003-023-04733-1
PMID: 37002267
PMC: PMC10066402
 Degree: -

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Project name : -
Grant ID : -
Funding program : Canada Brain Research Fund
Funding organization : Brain Canada Foundation
Project name : -
Grant ID : R01 AG068563A
Funding program : Health Canada
Funding organization : National Institutes of Health (NIH)
Project name : -
Grant ID : 438531
Funding program : -
Funding organization : Canadian Institutes of Health Research (CIHR)
Project name : -
Grant ID : -
Funding program : Canada First Research Excellence fund
Funding organization : Healthy Brains Healthy Lives (HBHL)
Project name : -
Grant ID : -
Funding program : Research Award
Funding organization : Google
Project name : -
Grant ID : -
Funding program : Artificial Intelligence Chairs program
Funding organization : Canada Institute for Advanced Research (CIFAR)

Source 1

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Title: Communications Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 6 (1) Sequence Number: 354 Start / End Page: - Identifier: ISSN: 2399-3642
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3642