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Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks
Many stroke survivors with aphasia in the acute period experience spontaneous recovery within the first six months after the stroke. However, approximately 30–40% sustain permanent aphasia and the factors determining incomplete recovery are unclear. Suboptimal recovery may be influenced by disruptio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558035/ https://www.ncbi.nlm.nih.gov/pubmed/28811520 http://dx.doi.org/10.1038/s41598-017-07607-9 |
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author | Marebwa, Barbara K. Fridriksson, Julius Yourganov, Grigori Feenaughty, Lynda Rorden, Chris Bonilha, Leonardo |
author_facet | Marebwa, Barbara K. Fridriksson, Julius Yourganov, Grigori Feenaughty, Lynda Rorden, Chris Bonilha, Leonardo |
author_sort | Marebwa, Barbara K. |
collection | PubMed |
description | Many stroke survivors with aphasia in the acute period experience spontaneous recovery within the first six months after the stroke. However, approximately 30–40% sustain permanent aphasia and the factors determining incomplete recovery are unclear. Suboptimal recovery may be influenced by disruption of areas seemingly spared by the stroke due to loss of white matter connectivity and network integrity. We reconstructed individual anatomical whole-brain connectomes from 90 left hemisphere stroke survivors using diffusion MR images. We measured the modularity of the residual white matter network organization, the probability of brain regions clustering together, and the degree of fragmentation of left hemisphere networks. Greater post-stroke left hemisphere network fragmentation and higher modularity index were associated with more severe chronic aphasia, controlling for the size of the stroke lesion. Even when the left hemisphere was relatively spared, subjects with disorganized community structure had significantly worse aphasia, particularly when key temporal lobe regions were isolated into segregated modules. These results suggest that white matter integrity and disorganization of neuronal networks could be important determinants of chronic aphasia severity. Connectome white matter organization measured through modularity and other topological features could be used as a personalized variable for clinical staging and aphasia treatment planning. |
format | Online Article Text |
id | pubmed-5558035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55580352017-08-18 Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks Marebwa, Barbara K. Fridriksson, Julius Yourganov, Grigori Feenaughty, Lynda Rorden, Chris Bonilha, Leonardo Sci Rep Article Many stroke survivors with aphasia in the acute period experience spontaneous recovery within the first six months after the stroke. However, approximately 30–40% sustain permanent aphasia and the factors determining incomplete recovery are unclear. Suboptimal recovery may be influenced by disruption of areas seemingly spared by the stroke due to loss of white matter connectivity and network integrity. We reconstructed individual anatomical whole-brain connectomes from 90 left hemisphere stroke survivors using diffusion MR images. We measured the modularity of the residual white matter network organization, the probability of brain regions clustering together, and the degree of fragmentation of left hemisphere networks. Greater post-stroke left hemisphere network fragmentation and higher modularity index were associated with more severe chronic aphasia, controlling for the size of the stroke lesion. Even when the left hemisphere was relatively spared, subjects with disorganized community structure had significantly worse aphasia, particularly when key temporal lobe regions were isolated into segregated modules. These results suggest that white matter integrity and disorganization of neuronal networks could be important determinants of chronic aphasia severity. Connectome white matter organization measured through modularity and other topological features could be used as a personalized variable for clinical staging and aphasia treatment planning. Nature Publishing Group UK 2017-08-15 /pmc/articles/PMC5558035/ /pubmed/28811520 http://dx.doi.org/10.1038/s41598-017-07607-9 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Marebwa, Barbara K. Fridriksson, Julius Yourganov, Grigori Feenaughty, Lynda Rorden, Chris Bonilha, Leonardo Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks |
title | Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks |
title_full | Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks |
title_fullStr | Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks |
title_full_unstemmed | Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks |
title_short | Chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks |
title_sort | chronic post-stroke aphasia severity is determined by fragmentation of residual white matter networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558035/ https://www.ncbi.nlm.nih.gov/pubmed/28811520 http://dx.doi.org/10.1038/s41598-017-07607-9 |
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