Structural-covariance networks identify topology-based cortical-thickness changes in children with persistent

Daniel J King1, Stefano Seri2, Cathy Catroppa3

  • 1College of Health and Life Sciences and Aston Institute of Health and Neurodevelopment, Aston University, Birmingham B4 7ET, UK.

Neuroimage
|September 26, 2021
PubMed

Insights

Structural covariance network alterations in paediatric traumatic brain injury (pTBI) predict long-term executive function deficits. Acute cortical thickness reductions in key brain regions correlate with persistent impairment, offering prognostic insights.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Neuroimaging

Background:

  • Paediatric traumatic brain injury (pTBI) leads to variable regional brain morphometry changes.
  • Structural-covariance networks map coordinated regional brain morphology, reflecting biological and developmental influences.
  • Understanding network alterations is crucial for predicting long-term outcomes after pTBI.

Purpose of the Study:

  • To investigate the relationship between structural-covariance network organization and long-term cognitive impairment in pTBI patients.
  • To identify specific network characteristics associated with executive function deficits post-pTBI.

Main Methods:

  • T1-weighted MRI data from 83 pTBI patients and 33 controls were analyzed.
  • Cortical thickness was estimated for 68 regions-of-interest (ROIs) using Freesurfer.
  • Structural-covariance networks were generated using Pearson correlations of cortical thickness; executive function was assessed at 2 years post-injury.

Main Results:

  • No significant group differences in regional cortical thickness were observed between controls and pTBI patients.
  • Reduced graph-level strength in structural covariance networks was found in pTBI patients with executive function impairment compared to controls.
  • Node-level strength differences were prominent in frontal regions; acute cortical thickness reductions occurred in regions central to typical structural covariance.

Conclusions:

  • The topography of acute cortical thickness reductions, particularly in regions central to brain structural covariance, predicts persistent executive function impairment following pTBI.
  • Structural covariance network analysis offers a sensitive method for identifying individuals at risk for long-term cognitive deficits after pTBI.
  • These findings highlight the importance of network-level analysis for understanding the complex effects of pTBI on brain development and function.

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