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Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()()

Our previous research on traumatic brain injury (TBI) patients has shown a strong relationship between specific white matter (WM) diffusion properties and motor deficits. The potential impact of TBI-related changes in network organization of the associated WM structural network on motor performance,...

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Autores principales: Caeyenberghs, K., Leemans, A., De Decker, C., Heitger, M., Drijkoningen, D., Linden, C. Vander, Sunaert, S., Swinnen, S.P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757722/
https://www.ncbi.nlm.nih.gov/pubmed/24179743
http://dx.doi.org/10.1016/j.nicl.2012.09.011
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author Caeyenberghs, K.
Leemans, A.
De Decker, C.
Heitger, M.
Drijkoningen, D.
Linden, C. Vander
Sunaert, S.
Swinnen, S.P.
author_facet Caeyenberghs, K.
Leemans, A.
De Decker, C.
Heitger, M.
Drijkoningen, D.
Linden, C. Vander
Sunaert, S.
Swinnen, S.P.
author_sort Caeyenberghs, K.
collection PubMed
description Our previous research on traumatic brain injury (TBI) patients has shown a strong relationship between specific white matter (WM) diffusion properties and motor deficits. The potential impact of TBI-related changes in network organization of the associated WM structural network on motor performance, however, remains largely unknown. Here, we used diffusion tensor imaging (DTI) based fiber tractography to reconstruct the human brain WM networks of 12 TBI and 17 control participants, followed by a graph theoretical analysis. A force platform was used to measure changes in body posture under conditions of compromised proprioceptive and/or visual feedback. Findings revealed that compared with controls, TBI patients showed higher betweenness centrality and normalized path length, and lower values of local efficiency, implying altered network organization. These results were not merely a consequence of differences in number of connections. In particular, TBI patients displayed reduced structural connectivity in frontal, parieto-premotor, visual, subcortical, and temporal areas. In addition, the decreased connectivity degree was significantly associated with poorer balance performance. We conclude that analyzing the structural brain networks with a graph theoretical approach provides new insights into motor control deficits following brain injury.
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spelling pubmed-37577222013-10-31 Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()() Caeyenberghs, K. Leemans, A. De Decker, C. Heitger, M. Drijkoningen, D. Linden, C. Vander Sunaert, S. Swinnen, S.P. Neuroimage Clin Article Our previous research on traumatic brain injury (TBI) patients has shown a strong relationship between specific white matter (WM) diffusion properties and motor deficits. The potential impact of TBI-related changes in network organization of the associated WM structural network on motor performance, however, remains largely unknown. Here, we used diffusion tensor imaging (DTI) based fiber tractography to reconstruct the human brain WM networks of 12 TBI and 17 control participants, followed by a graph theoretical analysis. A force platform was used to measure changes in body posture under conditions of compromised proprioceptive and/or visual feedback. Findings revealed that compared with controls, TBI patients showed higher betweenness centrality and normalized path length, and lower values of local efficiency, implying altered network organization. These results were not merely a consequence of differences in number of connections. In particular, TBI patients displayed reduced structural connectivity in frontal, parieto-premotor, visual, subcortical, and temporal areas. In addition, the decreased connectivity degree was significantly associated with poorer balance performance. We conclude that analyzing the structural brain networks with a graph theoretical approach provides new insights into motor control deficits following brain injury. Elsevier 2012-10-02 /pmc/articles/PMC3757722/ /pubmed/24179743 http://dx.doi.org/10.1016/j.nicl.2012.09.011 Text en © 2012 The Authors http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Caeyenberghs, K.
Leemans, A.
De Decker, C.
Heitger, M.
Drijkoningen, D.
Linden, C. Vander
Sunaert, S.
Swinnen, S.P.
Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()()
title Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()()
title_full Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()()
title_fullStr Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()()
title_full_unstemmed Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()()
title_short Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis()()
title_sort brain connectivity and postural control in young traumatic brain injury patients: a diffusion mri based network analysis()()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757722/
https://www.ncbi.nlm.nih.gov/pubmed/24179743
http://dx.doi.org/10.1016/j.nicl.2012.09.011
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