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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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.
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.
Abstract:
Paediatric traumatic brain injury (pTBI) results in inconsistent changes to regional morphometry of the brain across studies. Structural-covariance networks represent the degree to which the morphology (typically cortical-thickness) of cortical-regions co-varies with other regions, driven by both biological and developmental factors. Understanding how heterogeneous regional changes may influence wider cortical network organization may more appropriately capture prognostic information in terms of long term outcome following a pTBI. The current study aimed to investigate the relationships between cortical organisation as measured by structural-covariance, and long-term cognitive impairment following pTBI. T1-weighted magnetic resonance imaging (MRI) from n = 83 pTBI patients and 33 typically developing controls underwent 3D-tissue segmentation using Freesurfer to estimate cortical-thickness across 68 cortical ROIs. Structural-covariance between regions was estimated using Pearson's correlations between cortical-thickness measures across 68 regions-of-interest (ROIs), generating a group-level 68 × 68 adjacency matrix for patients and controls. We grouped a subset of patients who underwent executive function testing at 2-years post-injury using a neuropsychological impairment (NPI) rule, defining impaired- and non-impaired subgroups. Despite finding no significant reductions in regional cortical-thickness between the control and pTBI groups, we found specific reductions in graph-level strength of the structural covariance graph only between controls and the pTBI group with executive function (EF) impairment. Node-level differences in strength for this group were primarily found in frontal regions. We also investigated whether the top n nodes in terms of effect-size of cortical-thickness reductions were nodes that had significantly greater strength in the typically developing brain than n randomly selected regions. We found that acute cortical-thickness reductions post-pTBI are loaded onto regions typically high in structural covariance. This association was found in those patients with persistent EF impairment at 2-years post-injury, but not in those for whom these abilities were spared. This study posits that the topography of post-injury cortical-thickness reductions in regions that are central to the typical structural-covariance topology of the brain, can explain which patients have poor EF at follow-up.
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