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Structural brain networks and functional motor outcome after stroke—a prospective cohort study
The time course of topological reorganization that occurs in the structural connectome after an ischaemic stroke is currently not well understood. We aimed to determine the evolution of structural brain networks in stroke patients with motor deficits and relate changes in their global topology to re...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425342/ https://www.ncbi.nlm.nih.gov/pubmed/32954275 http://dx.doi.org/10.1093/braincomms/fcaa001 |
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author | Schlemm, Eckhard Schulz, Robert Bönstrup, Marlene Krawinkel, Lutz Fiehler, Jens Gerloff, Christian Thomalla, Götz Cheng, Bastian |
author_facet | Schlemm, Eckhard Schulz, Robert Bönstrup, Marlene Krawinkel, Lutz Fiehler, Jens Gerloff, Christian Thomalla, Götz Cheng, Bastian |
author_sort | Schlemm, Eckhard |
collection | PubMed |
description | The time course of topological reorganization that occurs in the structural connectome after an ischaemic stroke is currently not well understood. We aimed to determine the evolution of structural brain networks in stroke patients with motor deficits and relate changes in their global topology to residual symptom burden and functional impairment. In this prospective cohort study, ischaemic stroke patients with supratentorial infarcts and motor symptoms were assessed longitudinally by advanced diffusion MRI and detailed clinical testing of upper extremity motor function at four time points from the acute to the chronic stage. For each time point, structural connectomes were reconstructed, and whole-hemisphere global network topology was quantified in terms of integration and segregation parameters. Using non-linear joint mixed-effects regression modelling, network evolution was related to lesion volume and clinical outcome. Thirty patients were included for analysis. Graph-theoretical analysis demonstrated that, over time, brain networks became less integrated and more segregated with decreasing global efficiency and increasing modularity. Changes occurred in both stroke and intact hemispheres and, in the latter, were positively associated with lesion volume. Greater change in topology was associated with larger residual symptom burden and greater motor impairment 1, 3 and 12 months after stroke. After ischaemic stroke, brain networks underwent characteristic changes in both ipsi- and contralesional hemispheres. Topological network changes reflect the severity of damage to the structural network and are associated with functional outcome beyond the impact of lesion volume. |
format | Online Article Text |
id | pubmed-7425342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74253422020-09-17 Structural brain networks and functional motor outcome after stroke—a prospective cohort study Schlemm, Eckhard Schulz, Robert Bönstrup, Marlene Krawinkel, Lutz Fiehler, Jens Gerloff, Christian Thomalla, Götz Cheng, Bastian Brain Commun Original Article The time course of topological reorganization that occurs in the structural connectome after an ischaemic stroke is currently not well understood. We aimed to determine the evolution of structural brain networks in stroke patients with motor deficits and relate changes in their global topology to residual symptom burden and functional impairment. In this prospective cohort study, ischaemic stroke patients with supratentorial infarcts and motor symptoms were assessed longitudinally by advanced diffusion MRI and detailed clinical testing of upper extremity motor function at four time points from the acute to the chronic stage. For each time point, structural connectomes were reconstructed, and whole-hemisphere global network topology was quantified in terms of integration and segregation parameters. Using non-linear joint mixed-effects regression modelling, network evolution was related to lesion volume and clinical outcome. Thirty patients were included for analysis. Graph-theoretical analysis demonstrated that, over time, brain networks became less integrated and more segregated with decreasing global efficiency and increasing modularity. Changes occurred in both stroke and intact hemispheres and, in the latter, were positively associated with lesion volume. Greater change in topology was associated with larger residual symptom burden and greater motor impairment 1, 3 and 12 months after stroke. After ischaemic stroke, brain networks underwent characteristic changes in both ipsi- and contralesional hemispheres. Topological network changes reflect the severity of damage to the structural network and are associated with functional outcome beyond the impact of lesion volume. Oxford University Press 2020-01-10 /pmc/articles/PMC7425342/ /pubmed/32954275 http://dx.doi.org/10.1093/braincomms/fcaa001 Text en © The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Schlemm, Eckhard Schulz, Robert Bönstrup, Marlene Krawinkel, Lutz Fiehler, Jens Gerloff, Christian Thomalla, Götz Cheng, Bastian Structural brain networks and functional motor outcome after stroke—a prospective cohort study |
title | Structural brain networks and functional motor outcome after stroke—a prospective cohort study |
title_full | Structural brain networks and functional motor outcome after stroke—a prospective cohort study |
title_fullStr | Structural brain networks and functional motor outcome after stroke—a prospective cohort study |
title_full_unstemmed | Structural brain networks and functional motor outcome after stroke—a prospective cohort study |
title_short | Structural brain networks and functional motor outcome after stroke—a prospective cohort study |
title_sort | structural brain networks and functional motor outcome after stroke—a prospective cohort study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425342/ https://www.ncbi.nlm.nih.gov/pubmed/32954275 http://dx.doi.org/10.1093/braincomms/fcaa001 |
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