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Synchronization lag in post stroke: relation to motor function and structural connectivity

Stroke is characterized by delays in the resting-state hemodynamic response, resulting in synchronization lag in neural activity between brain regions. However, the structural basis of this lag remains unclear. In this study, we used resting-state functional MRI (rs-fMRI) to characterize synchroniza...

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Autores principales: Wang, Xin, Seguin, Caio, Zalesky, Andrew, Wong, Wan-wa, Chu, Winnie Chiu-wing, Tong, Raymond Kai-yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6777982/
https://www.ncbi.nlm.nih.gov/pubmed/31637341
http://dx.doi.org/10.1162/netn_a_00105
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author Wang, Xin
Seguin, Caio
Zalesky, Andrew
Wong, Wan-wa
Chu, Winnie Chiu-wing
Tong, Raymond Kai-yu
author_facet Wang, Xin
Seguin, Caio
Zalesky, Andrew
Wong, Wan-wa
Chu, Winnie Chiu-wing
Tong, Raymond Kai-yu
author_sort Wang, Xin
collection PubMed
description Stroke is characterized by delays in the resting-state hemodynamic response, resulting in synchronization lag in neural activity between brain regions. However, the structural basis of this lag remains unclear. In this study, we used resting-state functional MRI (rs-fMRI) to characterize synchronization lag profiles between homotopic regions in 15 individuals (14 males, 1 female) with brain lesions consequent to stroke as well as a group of healthy comparison individuals. We tested whether the network communication efficiency of each individual’s structural brain network (connectome) could explain interindividual and interregional variation in synchronization lag profiles. To this end, connectomes were mapped using diffusion MRI data, and communication measures were evaluated under two schemes: shortest paths and navigation. We found that interindividual variation in synchronization lags was inversely associated with communication efficiency under both schemes. Interregional variation in lag was related to navigation efficiency and navigation distance, reflecting its dependence on both distance and structural constraints. Moreover, severity of motor deficits significantly correlated with average synchronization lag in stroke. Our results provide a structural basis for the delay of information transfer between homotopic regions inferred from rs-fMRI and provide insight into the clinical significance of structural-functional relationships in stroke individuals.
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spelling pubmed-67779822019-10-21 Synchronization lag in post stroke: relation to motor function and structural connectivity Wang, Xin Seguin, Caio Zalesky, Andrew Wong, Wan-wa Chu, Winnie Chiu-wing Tong, Raymond Kai-yu Netw Neurosci Research Articles Stroke is characterized by delays in the resting-state hemodynamic response, resulting in synchronization lag in neural activity between brain regions. However, the structural basis of this lag remains unclear. In this study, we used resting-state functional MRI (rs-fMRI) to characterize synchronization lag profiles between homotopic regions in 15 individuals (14 males, 1 female) with brain lesions consequent to stroke as well as a group of healthy comparison individuals. We tested whether the network communication efficiency of each individual’s structural brain network (connectome) could explain interindividual and interregional variation in synchronization lag profiles. To this end, connectomes were mapped using diffusion MRI data, and communication measures were evaluated under two schemes: shortest paths and navigation. We found that interindividual variation in synchronization lags was inversely associated with communication efficiency under both schemes. Interregional variation in lag was related to navigation efficiency and navigation distance, reflecting its dependence on both distance and structural constraints. Moreover, severity of motor deficits significantly correlated with average synchronization lag in stroke. Our results provide a structural basis for the delay of information transfer between homotopic regions inferred from rs-fMRI and provide insight into the clinical significance of structural-functional relationships in stroke individuals. MIT Press 2019-09-01 /pmc/articles/PMC6777982/ /pubmed/31637341 http://dx.doi.org/10.1162/netn_a_00105 Text en © 2019 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
spellingShingle Research Articles
Wang, Xin
Seguin, Caio
Zalesky, Andrew
Wong, Wan-wa
Chu, Winnie Chiu-wing
Tong, Raymond Kai-yu
Synchronization lag in post stroke: relation to motor function and structural connectivity
title Synchronization lag in post stroke: relation to motor function and structural connectivity
title_full Synchronization lag in post stroke: relation to motor function and structural connectivity
title_fullStr Synchronization lag in post stroke: relation to motor function and structural connectivity
title_full_unstemmed Synchronization lag in post stroke: relation to motor function and structural connectivity
title_short Synchronization lag in post stroke: relation to motor function and structural connectivity
title_sort synchronization lag in post stroke: relation to motor function and structural connectivity
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6777982/
https://www.ncbi.nlm.nih.gov/pubmed/31637341
http://dx.doi.org/10.1162/netn_a_00105
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