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The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks

There remains much unknown about how large-scale neural networks accommodate neurological disruption, such as moderate and severe traumatic brain injury (TBI). A primary goal in this study was to examine the alterations in network topology occurring during the first year of recovery following TBI. T...

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Autores principales: Hillary, Frank G., Rajtmajer, Sarah M., Roman, Cristina A., Medaglia, John D., Slocomb-Dluzen, Julia E., Calhoun, Vincent D., Good, David C., Wylie, Glenn R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133194/
https://www.ncbi.nlm.nih.gov/pubmed/25121760
http://dx.doi.org/10.1371/journal.pone.0104021
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author Hillary, Frank G.
Rajtmajer, Sarah M.
Roman, Cristina A.
Medaglia, John D.
Slocomb-Dluzen, Julia E.
Calhoun, Vincent D.
Good, David C.
Wylie, Glenn R.
author_facet Hillary, Frank G.
Rajtmajer, Sarah M.
Roman, Cristina A.
Medaglia, John D.
Slocomb-Dluzen, Julia E.
Calhoun, Vincent D.
Good, David C.
Wylie, Glenn R.
author_sort Hillary, Frank G.
collection PubMed
description There remains much unknown about how large-scale neural networks accommodate neurological disruption, such as moderate and severe traumatic brain injury (TBI). A primary goal in this study was to examine the alterations in network topology occurring during the first year of recovery following TBI. To do so we examined 21 individuals with moderate and severe TBI at 3 and 6 months after resolution of posttraumatic amnesia and 15 age- and education-matched healthy adults using functional MRI and graph theoretical analyses. There were two central hypotheses in this study: 1) physical disruption results in increased functional connectivity, or hyperconnectivity, and 2) hyperconnectivity occurs in regions typically observed to be the most highly connected cortical hubs, or the “rich club”. The current findings generally support the hyperconnectivity hypothesis showing that during the first year of recovery after TBI, neural networks show increased connectivity, and this change is disproportionately represented in brain regions belonging to the brain's core subnetworks. The selective increases in connectivity observed here are consistent with the preferential attachment model underlying scale-free network development. This study is the largest of its kind and provides the unique opportunity to examine how neural systems adapt to significant neurological disruption during the first year after injury.
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spelling pubmed-41331942014-08-19 The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks Hillary, Frank G. Rajtmajer, Sarah M. Roman, Cristina A. Medaglia, John D. Slocomb-Dluzen, Julia E. Calhoun, Vincent D. Good, David C. Wylie, Glenn R. PLoS One Research Article There remains much unknown about how large-scale neural networks accommodate neurological disruption, such as moderate and severe traumatic brain injury (TBI). A primary goal in this study was to examine the alterations in network topology occurring during the first year of recovery following TBI. To do so we examined 21 individuals with moderate and severe TBI at 3 and 6 months after resolution of posttraumatic amnesia and 15 age- and education-matched healthy adults using functional MRI and graph theoretical analyses. There were two central hypotheses in this study: 1) physical disruption results in increased functional connectivity, or hyperconnectivity, and 2) hyperconnectivity occurs in regions typically observed to be the most highly connected cortical hubs, or the “rich club”. The current findings generally support the hyperconnectivity hypothesis showing that during the first year of recovery after TBI, neural networks show increased connectivity, and this change is disproportionately represented in brain regions belonging to the brain's core subnetworks. The selective increases in connectivity observed here are consistent with the preferential attachment model underlying scale-free network development. This study is the largest of its kind and provides the unique opportunity to examine how neural systems adapt to significant neurological disruption during the first year after injury. Public Library of Science 2014-08-14 /pmc/articles/PMC4133194/ /pubmed/25121760 http://dx.doi.org/10.1371/journal.pone.0104021 Text en © 2014 Hillary 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
Hillary, Frank G.
Rajtmajer, Sarah M.
Roman, Cristina A.
Medaglia, John D.
Slocomb-Dluzen, Julia E.
Calhoun, Vincent D.
Good, David C.
Wylie, Glenn R.
The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks
title The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks
title_full The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks
title_fullStr The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks
title_full_unstemmed The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks
title_short The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks
title_sort rich get richer: brain injury elicits hyperconnectivity in core subnetworks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133194/
https://www.ncbi.nlm.nih.gov/pubmed/25121760
http://dx.doi.org/10.1371/journal.pone.0104021
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