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Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis

Traumatic brain injury (TBI) can result in acute cognitive deficits and diffuse axonal injury reflected in white matter brain network alterations, which may, or may not, later recover. Our objective is to first characterize the ways in which brain networks change after TBI and, second, investigate i...

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Autores principales: Moreira da Silva, Nádia, Cowie, Christopher J. A., Blamire, Andrew M., Forsyth, Rob, Taylor, Peter Neal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296134/
https://www.ncbi.nlm.nih.gov/pubmed/32581989
http://dx.doi.org/10.3389/fneur.2020.00369
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author Moreira da Silva, Nádia
Cowie, Christopher J. A.
Blamire, Andrew M.
Forsyth, Rob
Taylor, Peter Neal
author_facet Moreira da Silva, Nádia
Cowie, Christopher J. A.
Blamire, Andrew M.
Forsyth, Rob
Taylor, Peter Neal
author_sort Moreira da Silva, Nádia
collection PubMed
description Traumatic brain injury (TBI) can result in acute cognitive deficits and diffuse axonal injury reflected in white matter brain network alterations, which may, or may not, later recover. Our objective is to first characterize the ways in which brain networks change after TBI and, second, investigate if those changes are associated with recovery of cognitive deficits. We aim to make initial progress in discerning the relationships between brain network changes, and their (dys)functional correlates. We analyze longitudinally acquired MRI from 23 TBI patients (two time points: 6 days, 12 months post-injury) and cross-sectional data from 28 controls to construct white matter brain networks. Cognitive assessment was also performed. Graph theory and regression analysis were applied to identify changed brain network metrics after injury that are associated with subsequent improvements in cognitive function. Sixteen brain network metrics were found to be discriminative of different post-injury phases. Eleven of those explain 90% (adjusted R(2)) of the variability observed in cognitive recovery following TBI. Brain network metrics that had a high contribution to the explained variance were found in frontal and temporal cortex, additional to the anterior cingulate cortex. Our preliminary study suggests that network reorganization may be related to recovery of impaired cognitive function in the first year after a TBI.
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spelling pubmed-72961342020-06-23 Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis Moreira da Silva, Nádia Cowie, Christopher J. A. Blamire, Andrew M. Forsyth, Rob Taylor, Peter Neal Front Neurol Neurology Traumatic brain injury (TBI) can result in acute cognitive deficits and diffuse axonal injury reflected in white matter brain network alterations, which may, or may not, later recover. Our objective is to first characterize the ways in which brain networks change after TBI and, second, investigate if those changes are associated with recovery of cognitive deficits. We aim to make initial progress in discerning the relationships between brain network changes, and their (dys)functional correlates. We analyze longitudinally acquired MRI from 23 TBI patients (two time points: 6 days, 12 months post-injury) and cross-sectional data from 28 controls to construct white matter brain networks. Cognitive assessment was also performed. Graph theory and regression analysis were applied to identify changed brain network metrics after injury that are associated with subsequent improvements in cognitive function. Sixteen brain network metrics were found to be discriminative of different post-injury phases. Eleven of those explain 90% (adjusted R(2)) of the variability observed in cognitive recovery following TBI. Brain network metrics that had a high contribution to the explained variance were found in frontal and temporal cortex, additional to the anterior cingulate cortex. Our preliminary study suggests that network reorganization may be related to recovery of impaired cognitive function in the first year after a TBI. Frontiers Media S.A. 2020-06-09 /pmc/articles/PMC7296134/ /pubmed/32581989 http://dx.doi.org/10.3389/fneur.2020.00369 Text en Copyright © 2020 Moreira da Silva, Cowie, Blamire, Forsyth and Taylor. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Moreira da Silva, Nádia
Cowie, Christopher J. A.
Blamire, Andrew M.
Forsyth, Rob
Taylor, Peter Neal
Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis
title Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis
title_full Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis
title_fullStr Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis
title_full_unstemmed Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis
title_short Investigating Brain Network Changes and Their Association With Cognitive Recovery After Traumatic Brain Injury: A Longitudinal Analysis
title_sort investigating brain network changes and their association with cognitive recovery after traumatic brain injury: a longitudinal analysis
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296134/
https://www.ncbi.nlm.nih.gov/pubmed/32581989
http://dx.doi.org/10.3389/fneur.2020.00369
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