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  Longitudinal prediction of motor dysfunction after stroke: a disconnectome study

Dulyan, L., Talozzi, L., Pacella, V., Corbetta, M., Forkel, S. J., & Thiebaut de Schotten, M. (2022). Longitudinal prediction of motor dysfunction after stroke: a disconnectome study. Brain Structure and Function, 227, 3085-3098. doi:10.1007/s00429-022-02589-5.

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Dulyan_etal_Longitudinal prediction of motor dysfunction after stroke.pdf (Publisher version), 2MB
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 Creators:
Dulyan, Lilit, Author
Talozzi, Lia, Author
Pacella, Valentina, Author
Corbetta, Maurizio, Author
Forkel, Stephanie J.1, Author           
Thiebaut de Schotten, Michel, Author
Affiliations:
1Radboud University Nijmegen, External Organizations, ou_3055479              

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 Abstract: Motricity is the most commonly affected ability after a stroke. While many clinical studies attempt to predict motor symptoms at different chronic time points after a stroke, longitudinal acute-to-chronic studies remain scarce. Taking advantage of recent advances in mapping brain disconnections, we predict motor outcomes in 62 patients assessed longitudinally two weeks, three months, and one year after their stroke. Results indicate that brain disconnection patterns accurately predict motor impairments. However, disconnection patterns leading to impairment differ between the three-time points and between left and right motor impairments. These results were cross-validated using resampling techniques. In sum, we demonstrated that while some neuroplasticity mechanisms exist changing the structure–function relationship, disconnection patterns prevail when predicting motor impairment at different time points after stroke.

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Language(s): eng - English
 Dates: 2022-11-052022
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s00429-022-02589-5
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Title: Brain Structure and Function
Source Genre: Journal
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Pages: - Volume / Issue: 227 Sequence Number: - Start / End Page: 3085 - 3098 Identifier: ISSN: 1863-2653
ISSN: 1863-2661