Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain Injury

Mild traumatic brain injury (mTBI) is a major public health concern. Functional MRI has reported alterations in several brain networks following mTBI. However, the connectome-scale brain network changes are still unknown. In this study, sixteen mTBI patients were prospectively recruited from an emer...

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Main Authors: Armin Iraji, Hanbo Chen, Natalie Wiseman, Robert D. Welch, Brian J. O’Neil, E. Mark Haacke, Tianming Liu, Zhifeng Kou
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2016/4072402
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author Armin Iraji
Hanbo Chen
Natalie Wiseman
Robert D. Welch
Brian J. O’Neil
E. Mark Haacke
Tianming Liu
Zhifeng Kou
author_facet Armin Iraji
Hanbo Chen
Natalie Wiseman
Robert D. Welch
Brian J. O’Neil
E. Mark Haacke
Tianming Liu
Zhifeng Kou
author_sort Armin Iraji
collection DOAJ
description Mild traumatic brain injury (mTBI) is a major public health concern. Functional MRI has reported alterations in several brain networks following mTBI. However, the connectome-scale brain network changes are still unknown. In this study, sixteen mTBI patients were prospectively recruited from an emergency department and followed up at 4–6 weeks after injury. Twenty-four healthy controls were also scanned twice with the same time interval. Three hundred fifty-eight brain landmarks that preserve structural and functional correspondence of brain networks across individuals were used to investigate longitudinal brain connectivity. Network-based statistic (NBS) analysis did not find significant difference in the group-by-time interaction and time effects. However, 258 functional pairs show group differences in which mTBI patients have higher functional connectivity. Meta-analysis showed that “Action” and “Cognition” are the most affected functional domains. Categorization of connectomic signatures using multiview group-wise cluster analysis identified two patterns of functional hyperconnectivity among mTBI patients: (I) between the posterior cingulate cortex and the association areas of the brain and (II) between the occipital and the frontal lobes of the brain. Our results demonstrate that brain concussion renders connectome-scale brain network connectivity changes, and the brain tends to be hyperactivated to compensate the pathophysiological disturbances.
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spelling doaj-art-1543b69df49d449eb73425a5328daf432025-08-20T02:02:02ZengWileyNeural Plasticity2090-59041687-54432016-01-01201610.1155/2016/40724024072402Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain InjuryArmin Iraji0Hanbo Chen1Natalie Wiseman2Robert D. Welch3Brian J. O’Neil4E. Mark Haacke5Tianming Liu6Zhifeng Kou7Department of Biomedical Engineering, Wayne State University, Detroit, MI, USADepartment of Computer Science, The University of Georgia, Athens, GA, USADepartment of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USADepartment of Emergency Medicine, Wayne State University, Detroit, MI, USADepartment of Emergency Medicine, Wayne State University, Detroit, MI, USADepartment of Biomedical Engineering, Wayne State University, Detroit, MI, USADepartment of Computer Science, The University of Georgia, Athens, GA, USADepartment of Biomedical Engineering, Wayne State University, Detroit, MI, USAMild traumatic brain injury (mTBI) is a major public health concern. Functional MRI has reported alterations in several brain networks following mTBI. However, the connectome-scale brain network changes are still unknown. In this study, sixteen mTBI patients were prospectively recruited from an emergency department and followed up at 4–6 weeks after injury. Twenty-four healthy controls were also scanned twice with the same time interval. Three hundred fifty-eight brain landmarks that preserve structural and functional correspondence of brain networks across individuals were used to investigate longitudinal brain connectivity. Network-based statistic (NBS) analysis did not find significant difference in the group-by-time interaction and time effects. However, 258 functional pairs show group differences in which mTBI patients have higher functional connectivity. Meta-analysis showed that “Action” and “Cognition” are the most affected functional domains. Categorization of connectomic signatures using multiview group-wise cluster analysis identified two patterns of functional hyperconnectivity among mTBI patients: (I) between the posterior cingulate cortex and the association areas of the brain and (II) between the occipital and the frontal lobes of the brain. Our results demonstrate that brain concussion renders connectome-scale brain network connectivity changes, and the brain tends to be hyperactivated to compensate the pathophysiological disturbances.http://dx.doi.org/10.1155/2016/4072402
spellingShingle Armin Iraji
Hanbo Chen
Natalie Wiseman
Robert D. Welch
Brian J. O’Neil
E. Mark Haacke
Tianming Liu
Zhifeng Kou
Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain Injury
Neural Plasticity
title Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain Injury
title_full Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain Injury
title_fullStr Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain Injury
title_full_unstemmed Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain Injury
title_short Compensation through Functional Hyperconnectivity: A Longitudinal Connectome Assessment of Mild Traumatic Brain Injury
title_sort compensation through functional hyperconnectivity a longitudinal connectome assessment of mild traumatic brain injury
url http://dx.doi.org/10.1155/2016/4072402
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