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Related Experiment Video

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Structural brain network deviations predict recovery after traumatic brain injury.

James J Gugger1, Nishant Sinha1, Yiming Huang2

  • 1Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Neuroengineering & Therapeutics, University of Pennsylvania, Philadelphia, PA, USA.

Neuroimage. Clinical
|April 5, 2023
PubMed
Summary

Normative modeling identified structural brain network deviations after traumatic brain injury (TBI). These deviations correlate with injury severity and predict long-term symptoms and functional impairment, offering a potential biomarker for TBI research.

Keywords:
BiomarkerBrian networksTraumatic brain injury

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Area of Science:

  • Neuroscience
  • Radiology
  • Biomarkers

Background:

  • Traumatic brain injury (TBI) often causes diffuse axonal injury (DAI), leading to network dysfunction, poor recovery, and lasting disability.
  • Currently, no specific biomarker quantifies the extent of DAI at regional and aggregate levels.
  • Normative modeling offers a novel quantitative approach to identify individual deviations in brain networks.

Purpose of the Study:

  • To apply normative modeling to TBI patients, specifically mild complicated TBI.
  • To assess deviations in brain networks post-injury.
  • To correlate these network deviations with injury severity, symptom burden, and functional outcomes.

Main Methods:

  • Longitudinal analysis of 70 MRI scans from 35 TBI patients and 35 controls.
  • Assessment of blood biomarkers for axonal and glial injury.
  • Correlation of structural network deviations with CT findings, protein biomarkers, and functional assessments.

Main Results:

  • TBI patients exhibited significantly higher structural network deviations than controls, both acutely and chronically.
  • Network deviations correlated with acute CT lesions and blood biomarkers (GFAP, NFL).
  • Longitudinal changes in network deviation predicted changes in functional status and post-concussive symptoms.

Conclusions:

  • Normative modeling effectively captures structural network deviations in TBI.
  • These deviation scores may serve as valuable biomarkers for DAI.
  • Further validation in larger cohorts could support their use in clinical trials for TBI therapies.