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Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task

Although motor imagery could improve motor rehabilitation, the detailed neural mechanisms of motor imagery cognitive process of stroke patients, particularly from functional network perspective, remain unclear. This study investigated functional brain network properties in each cognitive sub-stage o...

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Autores principales: Yan, Jing, Sun, Junfeng, Guo, Xiaoli, Jin, Zheng, Li, Yao, Li, Zhijun, Tong, Shanbao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805593/
https://www.ncbi.nlm.nih.gov/pubmed/24167569
http://dx.doi.org/10.1371/journal.pone.0077325
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author Yan, Jing
Sun, Junfeng
Guo, Xiaoli
Jin, Zheng
Li, Yao
Li, Zhijun
Tong, Shanbao
author_facet Yan, Jing
Sun, Junfeng
Guo, Xiaoli
Jin, Zheng
Li, Yao
Li, Zhijun
Tong, Shanbao
author_sort Yan, Jing
collection PubMed
description Although motor imagery could improve motor rehabilitation, the detailed neural mechanisms of motor imagery cognitive process of stroke patients, particularly from functional network perspective, remain unclear. This study investigated functional brain network properties in each cognitive sub-stage of motor imagery of stroke patients with ischemic lesion in left hemisphere to reveal the impact of stroke on the cognition of motor imagery. Both stroke patients and control subjects participated in mental rotation task, which includes three cognitive sub-stages: visual stimulus perception, mental rotation and response cognitive process. Event-related electroencephalograph was recorded and interdependence between two different cortical areas was assessed by phase synchronization. Both global and nodal properties of functional networks in three sub-stages were statistically analyzed. Phase synchronization of stroke patients significantly reduced in mental rotation sub-stage. Longer characteristic path length and smaller global clustering coefficient of functional network were observed in patients in mental rotation sub-stage which implied the impaired segregation and integration. Larger nodal clustering coefficient and betweenness in contralesional occipitoparietal and frontal area respectively were observed in patients in all sub-stages. In addition, patients also showed smaller betweenness in ipsilesional central-parietal area in response sub-stage. The compensatory effects on local connectedness and centrality indicated the neuroplasticity in contralesional hemisphere. The functional brain networks of stroke patients demonstrated significant alterations and compensatory effects during motor imagery.
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spelling pubmed-38055932013-10-28 Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task Yan, Jing Sun, Junfeng Guo, Xiaoli Jin, Zheng Li, Yao Li, Zhijun Tong, Shanbao PLoS One Research Article Although motor imagery could improve motor rehabilitation, the detailed neural mechanisms of motor imagery cognitive process of stroke patients, particularly from functional network perspective, remain unclear. This study investigated functional brain network properties in each cognitive sub-stage of motor imagery of stroke patients with ischemic lesion in left hemisphere to reveal the impact of stroke on the cognition of motor imagery. Both stroke patients and control subjects participated in mental rotation task, which includes three cognitive sub-stages: visual stimulus perception, mental rotation and response cognitive process. Event-related electroencephalograph was recorded and interdependence between two different cortical areas was assessed by phase synchronization. Both global and nodal properties of functional networks in three sub-stages were statistically analyzed. Phase synchronization of stroke patients significantly reduced in mental rotation sub-stage. Longer characteristic path length and smaller global clustering coefficient of functional network were observed in patients in mental rotation sub-stage which implied the impaired segregation and integration. Larger nodal clustering coefficient and betweenness in contralesional occipitoparietal and frontal area respectively were observed in patients in all sub-stages. In addition, patients also showed smaller betweenness in ipsilesional central-parietal area in response sub-stage. The compensatory effects on local connectedness and centrality indicated the neuroplasticity in contralesional hemisphere. The functional brain networks of stroke patients demonstrated significant alterations and compensatory effects during motor imagery. Public Library of Science 2013-10-22 /pmc/articles/PMC3805593/ /pubmed/24167569 http://dx.doi.org/10.1371/journal.pone.0077325 Text en © 2013 Yan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yan, Jing
Sun, Junfeng
Guo, Xiaoli
Jin, Zheng
Li, Yao
Li, Zhijun
Tong, Shanbao
Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task
title Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task
title_full Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task
title_fullStr Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task
title_full_unstemmed Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task
title_short Motor Imagery Cognitive Network after Left Ischemic Stroke: Study of the Patients during Mental Rotation Task
title_sort motor imagery cognitive network after left ischemic stroke: study of the patients during mental rotation task
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805593/
https://www.ncbi.nlm.nih.gov/pubmed/24167569
http://dx.doi.org/10.1371/journal.pone.0077325
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