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Resting Network Plasticity Following Brain Injury

The purpose of this study was to examine neural network properties at separate time-points during recovery from traumatic brain injury (TBI) using graph theory. Whole-brain analyses of the topological properties of the fMRI signal were conducted in 6 participants at 3 months and 6 months following s...

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Detalles Bibliográficos
Autores principales: Nakamura, Toru, Hillary, Frank G., Biswal, Bharat B.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2788622/
https://www.ncbi.nlm.nih.gov/pubmed/20011533
http://dx.doi.org/10.1371/journal.pone.0008220
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author Nakamura, Toru
Hillary, Frank G.
Biswal, Bharat B.
author_facet Nakamura, Toru
Hillary, Frank G.
Biswal, Bharat B.
author_sort Nakamura, Toru
collection PubMed
description The purpose of this study was to examine neural network properties at separate time-points during recovery from traumatic brain injury (TBI) using graph theory. Whole-brain analyses of the topological properties of the fMRI signal were conducted in 6 participants at 3 months and 6 months following severe TBI. Results revealed alterations of network properties including a change in the degree distribution, reduced overall strength in connectivity, and increased “small-worldness” from 3 months to 6 months post injury. The findings here indicate that, during recovery from injury, the strength but not the number of network connections diminishes, so that over the course of recovery, the network begins to approximate what is observed in healthy adults. These are the first data examining functional connectivity in a disrupted neural system during recovery.
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spelling pubmed-27886222009-12-14 Resting Network Plasticity Following Brain Injury Nakamura, Toru Hillary, Frank G. Biswal, Bharat B. PLoS One Research Article The purpose of this study was to examine neural network properties at separate time-points during recovery from traumatic brain injury (TBI) using graph theory. Whole-brain analyses of the topological properties of the fMRI signal were conducted in 6 participants at 3 months and 6 months following severe TBI. Results revealed alterations of network properties including a change in the degree distribution, reduced overall strength in connectivity, and increased “small-worldness” from 3 months to 6 months post injury. The findings here indicate that, during recovery from injury, the strength but not the number of network connections diminishes, so that over the course of recovery, the network begins to approximate what is observed in healthy adults. These are the first data examining functional connectivity in a disrupted neural system during recovery. Public Library of Science 2009-12-14 /pmc/articles/PMC2788622/ /pubmed/20011533 http://dx.doi.org/10.1371/journal.pone.0008220 Text en Nakamura 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
Nakamura, Toru
Hillary, Frank G.
Biswal, Bharat B.
Resting Network Plasticity Following Brain Injury
title Resting Network Plasticity Following Brain Injury
title_full Resting Network Plasticity Following Brain Injury
title_fullStr Resting Network Plasticity Following Brain Injury
title_full_unstemmed Resting Network Plasticity Following Brain Injury
title_short Resting Network Plasticity Following Brain Injury
title_sort resting network plasticity following brain injury
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2788622/
https://www.ncbi.nlm.nih.gov/pubmed/20011533
http://dx.doi.org/10.1371/journal.pone.0008220
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