Cargando…

Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits

The analysis of structural covariance has emerged as a powerful tool to explore the morphometric correlations among broadly distributed brain regions. However, little is known about the interactions between the damaged primary motor cortex (M1) and other brain regions in stroke patients with motor d...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xinyuan, Li, Mengcheng, Chen, Naping, Lai, Huimin, Huang, Ziqiang, Tu, Yuqing, Chen, Qunlin, Hu, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930265/
https://www.ncbi.nlm.nih.gov/pubmed/35309255
http://dx.doi.org/10.1155/2022/1460326
_version_ 1784671025515986944
author Chen, Xinyuan
Li, Mengcheng
Chen, Naping
Lai, Huimin
Huang, Ziqiang
Tu, Yuqing
Chen, Qunlin
Hu, Jianping
author_facet Chen, Xinyuan
Li, Mengcheng
Chen, Naping
Lai, Huimin
Huang, Ziqiang
Tu, Yuqing
Chen, Qunlin
Hu, Jianping
author_sort Chen, Xinyuan
collection PubMed
description The analysis of structural covariance has emerged as a powerful tool to explore the morphometric correlations among broadly distributed brain regions. However, little is known about the interactions between the damaged primary motor cortex (M1) and other brain regions in stroke patients with motor deficits. This study is aimed at investigating the structural covariance pattern of the ipsilesional M1 in chronic subcortical stroke patients with motor deficits. High-resolution T1-weighted brain images were acquired from 58 chronic subcortical stroke patients with motor deficits (29 with left-sided lesions and 29 with right-sided lesions) and 50 healthy controls. Structural covariance patterns were identified by a seed-based structural covariance method based on gray matter (GM) volume. Group comparisons between stroke patients (left-sided or right-sided groups) and healthy controls were determined by a permutation test. The association between alterations in the regional GM volume and motor recovery after stroke was investigated by a multivariate regression approach. Structural covariance analysis revealed an extensive increase in the structural interactions between the ipsilesional M1 and other brain regions in stroke patients, involving not only motor-related brain regions but also non-motor-related brain regions. We also identified a slightly different pattern of structural covariance between the left-sided stroke group and the right-sided stroke group, thus indicating a lesion-side effect of cortical reorganization after stroke. Moreover, alterations in the GM volume of structural covariance brain regions were significantly correlated to the motor function scores in stroke patients. These findings indicated that the structural covariance patterns of the ipsilesional M1 in chronic subcortical stroke patients were induced by motor-related plasticity. Our findings may help us to better understand the neurobiological mechanisms of motor impairment and recovery in patients with subcortical stroke from different perspectives.
format Online
Article
Text
id pubmed-8930265
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-89302652022-03-18 Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits Chen, Xinyuan Li, Mengcheng Chen, Naping Lai, Huimin Huang, Ziqiang Tu, Yuqing Chen, Qunlin Hu, Jianping Neural Plast Research Article The analysis of structural covariance has emerged as a powerful tool to explore the morphometric correlations among broadly distributed brain regions. However, little is known about the interactions between the damaged primary motor cortex (M1) and other brain regions in stroke patients with motor deficits. This study is aimed at investigating the structural covariance pattern of the ipsilesional M1 in chronic subcortical stroke patients with motor deficits. High-resolution T1-weighted brain images were acquired from 58 chronic subcortical stroke patients with motor deficits (29 with left-sided lesions and 29 with right-sided lesions) and 50 healthy controls. Structural covariance patterns were identified by a seed-based structural covariance method based on gray matter (GM) volume. Group comparisons between stroke patients (left-sided or right-sided groups) and healthy controls were determined by a permutation test. The association between alterations in the regional GM volume and motor recovery after stroke was investigated by a multivariate regression approach. Structural covariance analysis revealed an extensive increase in the structural interactions between the ipsilesional M1 and other brain regions in stroke patients, involving not only motor-related brain regions but also non-motor-related brain regions. We also identified a slightly different pattern of structural covariance between the left-sided stroke group and the right-sided stroke group, thus indicating a lesion-side effect of cortical reorganization after stroke. Moreover, alterations in the GM volume of structural covariance brain regions were significantly correlated to the motor function scores in stroke patients. These findings indicated that the structural covariance patterns of the ipsilesional M1 in chronic subcortical stroke patients were induced by motor-related plasticity. Our findings may help us to better understand the neurobiological mechanisms of motor impairment and recovery in patients with subcortical stroke from different perspectives. Hindawi 2022-03-10 /pmc/articles/PMC8930265/ /pubmed/35309255 http://dx.doi.org/10.1155/2022/1460326 Text en Copyright © 2022 Xinyuan Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Xinyuan
Li, Mengcheng
Chen, Naping
Lai, Huimin
Huang, Ziqiang
Tu, Yuqing
Chen, Qunlin
Hu, Jianping
Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits
title Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits
title_full Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits
title_fullStr Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits
title_full_unstemmed Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits
title_short Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits
title_sort structural covariance of the ipsilesional primary motor cortex in subcortical stroke patients with motor deficits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930265/
https://www.ncbi.nlm.nih.gov/pubmed/35309255
http://dx.doi.org/10.1155/2022/1460326
work_keys_str_mv AT chenxinyuan structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits
AT limengcheng structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits
AT chennaping structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits
AT laihuimin structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits
AT huangziqiang structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits
AT tuyuqing structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits
AT chenqunlin structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits
AT hujianping structuralcovarianceoftheipsilesionalprimarymotorcortexinsubcorticalstrokepatientswithmotordeficits