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Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke

Preclinical studies using animal models have shown that grey matter plasticity in both perilesional and distant neural networks contributes to behavioural recovery of sensorimotor functions after ischaemic cortical stroke. Whether such morphological changes can be detected after human cortical strok...

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Autores principales: Abela, E., Seiler, A., Missimer, J. H., Federspiel, A., Hess, C. W., Sturzenegger, M., Weder, B. J., Wiest, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549385/
https://www.ncbi.nlm.nih.gov/pubmed/24906703
http://dx.doi.org/10.1007/s00429-014-0804-y
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author Abela, E.
Seiler, A.
Missimer, J. H.
Federspiel, A.
Hess, C. W.
Sturzenegger, M.
Weder, B. J.
Wiest, R.
author_facet Abela, E.
Seiler, A.
Missimer, J. H.
Federspiel, A.
Hess, C. W.
Sturzenegger, M.
Weder, B. J.
Wiest, R.
author_sort Abela, E.
collection PubMed
description Preclinical studies using animal models have shown that grey matter plasticity in both perilesional and distant neural networks contributes to behavioural recovery of sensorimotor functions after ischaemic cortical stroke. Whether such morphological changes can be detected after human cortical stroke is not yet known, but this would be essential to better understand post-stroke brain architecture and its impact on recovery. Using serial behavioural and high-resolution magnetic resonance imaging (MRI) measurements, we tracked recovery of dexterous hand function in 28 patients with ischaemic stroke involving the primary sensorimotor cortices. We were able to classify three recovery subgroups (fast, slow, and poor) using response feature analysis of individual recovery curves. To detect areas with significant longitudinal grey matter volume (GMV) change, we performed tensor-based morphometry of MRI data acquired in the subacute phase, i.e. after the stage compromised by acute oedema and inflammation. We found significant GMV expansion in the perilesional premotor cortex, ipsilesional mediodorsal thalamus, and caudate nucleus, and GMV contraction in the contralesional cerebellum. According to an interaction model, patients with fast recovery had more perilesional than subcortical expansion, whereas the contrary was true for patients with impaired recovery. Also, there were significant voxel-wise correlations between motor performance and ipsilesional GMV contraction in the posterior parietal lobes and expansion in dorsolateral prefrontal cortex. In sum, perilesional GMV expansion is associated with successful recovery after cortical stroke, possibly reflecting the restructuring of local cortical networks. Distant changes within the prefrontal-striato-thalamic network are related to impaired recovery, probably indicating higher demands on cognitive control of motor behaviour. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00429-014-0804-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-45493852015-08-27 Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke Abela, E. Seiler, A. Missimer, J. H. Federspiel, A. Hess, C. W. Sturzenegger, M. Weder, B. J. Wiest, R. Brain Struct Funct Original Article Preclinical studies using animal models have shown that grey matter plasticity in both perilesional and distant neural networks contributes to behavioural recovery of sensorimotor functions after ischaemic cortical stroke. Whether such morphological changes can be detected after human cortical stroke is not yet known, but this would be essential to better understand post-stroke brain architecture and its impact on recovery. Using serial behavioural and high-resolution magnetic resonance imaging (MRI) measurements, we tracked recovery of dexterous hand function in 28 patients with ischaemic stroke involving the primary sensorimotor cortices. We were able to classify three recovery subgroups (fast, slow, and poor) using response feature analysis of individual recovery curves. To detect areas with significant longitudinal grey matter volume (GMV) change, we performed tensor-based morphometry of MRI data acquired in the subacute phase, i.e. after the stage compromised by acute oedema and inflammation. We found significant GMV expansion in the perilesional premotor cortex, ipsilesional mediodorsal thalamus, and caudate nucleus, and GMV contraction in the contralesional cerebellum. According to an interaction model, patients with fast recovery had more perilesional than subcortical expansion, whereas the contrary was true for patients with impaired recovery. Also, there were significant voxel-wise correlations between motor performance and ipsilesional GMV contraction in the posterior parietal lobes and expansion in dorsolateral prefrontal cortex. In sum, perilesional GMV expansion is associated with successful recovery after cortical stroke, possibly reflecting the restructuring of local cortical networks. Distant changes within the prefrontal-striato-thalamic network are related to impaired recovery, probably indicating higher demands on cognitive control of motor behaviour. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00429-014-0804-y) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2014-06-07 2015 /pmc/articles/PMC4549385/ /pubmed/24906703 http://dx.doi.org/10.1007/s00429-014-0804-y Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Abela, E.
Seiler, A.
Missimer, J. H.
Federspiel, A.
Hess, C. W.
Sturzenegger, M.
Weder, B. J.
Wiest, R.
Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke
title Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke
title_full Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke
title_fullStr Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke
title_full_unstemmed Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke
title_short Grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke
title_sort grey matter volumetric changes related to recovery from hand paresis after cortical sensorimotor stroke
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549385/
https://www.ncbi.nlm.nih.gov/pubmed/24906703
http://dx.doi.org/10.1007/s00429-014-0804-y
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