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A Longitudinal Study of White Matter Functional Network in Mild Traumatic Brain Injury.

Authors
  • Jia, Xiaoyan1
  • Chang, Xuebin2
  • Bai, Lijun1
  • Wang, Yulin3, 4
  • Dong, Debo2, 5
  • Gan, Shuoqiu1
  • Wang, Shan1
  • Li, Xuan1
  • Yang, Xuefei1
  • Sun, Yinxiang6
  • Li, Tianhui1
  • Xiong, Feng1
  • Niu, Xuan6
  • Yan, Hao7, 8
  • 1 Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China. , (China)
  • 2 School of Life Science and Technology, Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China. , (China)
  • 3 Department of Experimental and Applied Psychology, Vrije Universiteit Brussel, Brussels, Belgium. , (Belgium)
  • 4 Department of Data Analysis, Ghent University, Ghent, Belgium. , (Belgium)
  • 5 Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Center Jülich, Jülich, Germany. , (Germany)
  • 6 Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. , (China)
  • 7 Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China. , (China)
  • 8 Department of Linguistics, Xidian University, Xi'an, China. , (China)
Type
Published Article
Journal
Journal of Neurotrauma
Publisher
Mary Ann Liebert
Publication Date
Oct 01, 2021
Volume
38
Issue
19
Pages
2686–2697
Identifiers
DOI: 10.1089/neu.2021.0017
PMID: 33906419
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Some patients after mild traumatic brain injury (mTBI) experience microstructural damages in the long-distance white matter (WM) connections, which disrupts the functional connectome of large-scale brain networks that support cognitive function. Patterns of WM structural damage following mTBI were well documented using diffusion tensor imaging (DTI). However, the functional organization of WM and its association with gray matter functional networks (GM-FNs) and its DTI metrics remain unknown. The present study adopted resting-state functional magnetic resonance imaging to explore WM functional properties in mTBI patients (108 acute patients, 48 chronic patients, 46 healthy controls [HCs]). Eleven large-scale WM functional networks (WM-FNs) were constructed by the k-means clustering algorithm of voxel-wise WM functional connectivity (FC). Compared with HCs, acute mTBI patients observed enhanced FC between inferior fronto-occipital fasciculus (IFOF) WM-FN and primary sensorimotor WM-FNs, and cortical primary sensorimotor GM-FNs. Further, acute mTBI patients showed increased DTI metrics (mean diffusivity, axial diffusivity, and radial diffusivity) in deep WM-FNs and higher-order cognitive WM-FNs. Moreover, mTBI patients demonstrated full recovery of FC and partial recovery of DTI metrics in the chronic stage. Additionally, enhanced FC between IFOF WM-FN and anterior cerebellar GM-FN was correlated with impaired information processing speed. Our findings provide novel evidence for functional and structural alteration of WM-FNs in mTBI patients. Importantly, the convergent damage of the IFOF network might imply its crucial role in our understanding of the pathophysiology mechanism of mTBI patients.

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