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Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage

Mild traumatic brain injury (mTBI) accounts for over one million emergency visits each year in the United States. The large-scale structural and functional network connectivity changes of mTBI are still unknown. This study was designed to determine the connectome-scale brain network connectivity cha...

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Autores principales: Iraji, Armin, Chen, Hanbo, Wiseman, Natalie, Zhang, Tuo, Welch, Robert, O'Neil, Brian, Kulek, Andrew, Ayaz, Syed Imran, Wang, Xiao, Zuk, Conor, Haacke, E. Mark, Liu, Tianming, Kou, Zhifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932612/
https://www.ncbi.nlm.nih.gov/pubmed/27408795
http://dx.doi.org/10.1016/j.nicl.2016.06.012
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author Iraji, Armin
Chen, Hanbo
Wiseman, Natalie
Zhang, Tuo
Welch, Robert
O'Neil, Brian
Kulek, Andrew
Ayaz, Syed Imran
Wang, Xiao
Zuk, Conor
Haacke, E. Mark
Liu, Tianming
Kou, Zhifeng
author_facet Iraji, Armin
Chen, Hanbo
Wiseman, Natalie
Zhang, Tuo
Welch, Robert
O'Neil, Brian
Kulek, Andrew
Ayaz, Syed Imran
Wang, Xiao
Zuk, Conor
Haacke, E. Mark
Liu, Tianming
Kou, Zhifeng
author_sort Iraji, Armin
collection PubMed
description Mild traumatic brain injury (mTBI) accounts for over one million emergency visits each year in the United States. The large-scale structural and functional network connectivity changes of mTBI are still unknown. This study was designed to determine the connectome-scale brain network connectivity changes in mTBI at both structural and functional levels. 40 mTBI patients at the acute stage and 50 healthy controls were recruited. A novel approach called Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs) was applied for connectome-scale analysis of both diffusion tensor imaging and resting state functional MRI data. Among 358 networks identified on DICCCOL analysis, 41 networks were identified as structurally discrepant between patient and control groups. The involved major white matter tracts include the corpus callosum, and superior and inferior longitudinal fasciculi. Functional connectivity analysis identified 60 connectomic signatures that differentiate patients from controls with 93.75% sensitivity and 100% specificity. Analysis of functional domains showed decreased intra-network connectivity within the emotion network and among emotion-cognition interactions, and increased interactions among action-emotion and action-cognition as well as within perception networks. This work suggests that mTBI may result in changes of structural and functional connectivity on a connectome scale at the acute stage.
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spelling pubmed-49326122016-07-12 Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage Iraji, Armin Chen, Hanbo Wiseman, Natalie Zhang, Tuo Welch, Robert O'Neil, Brian Kulek, Andrew Ayaz, Syed Imran Wang, Xiao Zuk, Conor Haacke, E. Mark Liu, Tianming Kou, Zhifeng Neuroimage Clin Regular Article Mild traumatic brain injury (mTBI) accounts for over one million emergency visits each year in the United States. The large-scale structural and functional network connectivity changes of mTBI are still unknown. This study was designed to determine the connectome-scale brain network connectivity changes in mTBI at both structural and functional levels. 40 mTBI patients at the acute stage and 50 healthy controls were recruited. A novel approach called Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs) was applied for connectome-scale analysis of both diffusion tensor imaging and resting state functional MRI data. Among 358 networks identified on DICCCOL analysis, 41 networks were identified as structurally discrepant between patient and control groups. The involved major white matter tracts include the corpus callosum, and superior and inferior longitudinal fasciculi. Functional connectivity analysis identified 60 connectomic signatures that differentiate patients from controls with 93.75% sensitivity and 100% specificity. Analysis of functional domains showed decreased intra-network connectivity within the emotion network and among emotion-cognition interactions, and increased interactions among action-emotion and action-cognition as well as within perception networks. This work suggests that mTBI may result in changes of structural and functional connectivity on a connectome scale at the acute stage. Elsevier 2016-06-16 /pmc/articles/PMC4932612/ /pubmed/27408795 http://dx.doi.org/10.1016/j.nicl.2016.06.012 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Iraji, Armin
Chen, Hanbo
Wiseman, Natalie
Zhang, Tuo
Welch, Robert
O'Neil, Brian
Kulek, Andrew
Ayaz, Syed Imran
Wang, Xiao
Zuk, Conor
Haacke, E. Mark
Liu, Tianming
Kou, Zhifeng
Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
title Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
title_full Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
title_fullStr Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
title_full_unstemmed Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
title_short Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
title_sort connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932612/
https://www.ncbi.nlm.nih.gov/pubmed/27408795
http://dx.doi.org/10.1016/j.nicl.2016.06.012
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