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Related Experiment Video

Updated: Mar 11, 2026

Development of an Uncomplicated Mild Traumatic Brain Injury Model Modified by Weight-Drop Method and Evidenced by Magnetic Resonance Imaging
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Small world properties changes in mild traumatic brain injury.

Yongxia Zhou1

  • 1Department of Radiology / Center for Biomedical Imaging, NYU Langone Medical Center, New York, New York.

Journal of Magnetic Resonance Imaging : JMRI
|December 1, 2016
PubMed
Summary

Mild traumatic brain injury (MTBI) alters brain network efficiency, showing reduced centrality and increased clustering. These changes correlate with diffuse axonal injury and may indicate altered thalamocortical connectivity.

Keywords:
diffusion tensor imagingfunctional connectivitygraph theorymild traumatic brain injurypostconcussive symptomsmall-world property

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Area of Science:

  • Neuroimaging
  • Brain Network Analysis
  • Traumatic Brain Injury

Background:

  • Mild traumatic brain injury (MTBI) can lead to persistent post-concussive symptoms (PCS).
  • Understanding the neural underpinnings of MTBI is crucial for effective diagnosis and treatment.
  • Resting-state functional MRI (rs-fMRI) and diffusion tensor imaging (DTI) offer insights into brain function and structural integrity.

Purpose of the Study:

  • To investigate changes in small-world network properties (centrality, clustering coefficient) in MTBI patients using rs-fMRI.
  • To correlate these network changes with diffuse axonal injury (DAI) measured by DTI.
  • To associate network alterations with post-concussive symptoms (PCS).

Main Methods:

  • rs-fMRI data were acquired from 30 MTBI patients and 45 healthy controls.
  • DTI data were collected from a subset of participants (20 MTBI, 20 controls) to assess DAI.
  • Analysis focused on functional small-world network metrics, fractional anisotropy (FA), and PCS scores.

Main Results:

  • MTBI patients exhibited lower betweenness centrality and higher clustering coefficients compared to controls.
  • Reduced centrality in specific regions correlated with localized FA reduction, while global FA reduction correlated with centrality and clustering.
  • Increased thalamocortical connectivity in MTBI patients correlated with higher clustering coefficients and lower PCS scores.

Conclusions:

  • MTBI is associated with significant alterations in functional brain network properties, specifically decreased global efficiency.
  • These network changes may be linked to diffuse axonal injury and compensatory local network upregulation, including thalamocortical pathways.
  • Brain network analysis provides valuable insights into the pathophysiology of MTBI and its relationship with clinical outcomes.