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Longitudinal prediction of motor dysfunction after stroke: a disconnectome study
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653357/ https://www.ncbi.nlm.nih.gov/pubmed/36334132 http://dx.doi.org/10.1007/s00429-022-02589-5 |
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author | Dulyan, Lilit Talozzi, Lia Pacella, Valentina Corbetta, Maurizio Forkel, Stephanie J. Thiebaut de Schotten, Michel |
author_facet | Dulyan, Lilit Talozzi, Lia Pacella, Valentina Corbetta, Maurizio Forkel, Stephanie J. Thiebaut de Schotten, Michel |
author_sort | Dulyan, Lilit |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00429-022-02589-5. |
format | Online Article Text |
id | pubmed-9653357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96533572022-11-15 Longitudinal prediction of motor dysfunction after stroke: a disconnectome study Dulyan, Lilit Talozzi, Lia Pacella, Valentina Corbetta, Maurizio Forkel, Stephanie J. Thiebaut de Schotten, Michel Brain Struct Funct Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00429-022-02589-5. Springer Berlin Heidelberg 2022-11-05 2022 /pmc/articles/PMC9653357/ /pubmed/36334132 http://dx.doi.org/10.1007/s00429-022-02589-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Dulyan, Lilit Talozzi, Lia Pacella, Valentina Corbetta, Maurizio Forkel, Stephanie J. Thiebaut de Schotten, Michel Longitudinal prediction of motor dysfunction after stroke: a disconnectome study |
title | Longitudinal prediction of motor dysfunction after stroke: a disconnectome study |
title_full | Longitudinal prediction of motor dysfunction after stroke: a disconnectome study |
title_fullStr | Longitudinal prediction of motor dysfunction after stroke: a disconnectome study |
title_full_unstemmed | Longitudinal prediction of motor dysfunction after stroke: a disconnectome study |
title_short | Longitudinal prediction of motor dysfunction after stroke: a disconnectome study |
title_sort | longitudinal prediction of motor dysfunction after stroke: a disconnectome study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653357/ https://www.ncbi.nlm.nih.gov/pubmed/36334132 http://dx.doi.org/10.1007/s00429-022-02589-5 |
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