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A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
Published on: February 7, 2025
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Default mode network anatomy and function is linked to pediatric concussion recovery
Kartik K Iyer1, Andrew Zalesky2, Karen M Barlow1,3,4,5
1Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Annals of Clinical and Translational Neurology
|November 23, 2019
Summary
Brain structure and function changes in children with mild traumatic brain injury (mTBI) are linked to persistent post-concussion symptoms (PPCS), particularly sleep disturbances. These brain markers accurately predict recovery from PPCS.
Area of Science:
- Neuroscience
- Pediatric Neurology
- Radiology
Background:
- Mild traumatic brain injury (mTBI) can lead to persistent post-concussion symptoms (PPCS) in children.
- Understanding the relationship between brain changes and symptom recovery is crucial for effective treatment.
Purpose of the Study:
- To investigate if anatomical and functional brain features correlate with PPCS in children recovering from mTBI.
- To determine if these brain indices can predict individual recovery from PPCS.
Main Methods:
- 110 children with mTBI were assessed using MRI for gray matter volume and resting-state fMRI for functional connectivity.
- Sleep disturbance scores and neurocognition were measured longitudinally.
- Machine learning models analyzed the prognostic value of combined structural and functional brain data.
Main Results:
- Decreased gray matter volume and functional connectivity in the default mode network (posterior cingulate cortex, medial prefrontal cortex) were associated with increased sleep disturbance and fatigue.
- Reduced functional connectivity between these regions correlated with sleep problems.
- Combined brain indices accurately predicted clinical outcomes (AUC=0.86).
Conclusions:
- The structure-function profile of default mode network regions is critical for sleep disturbances post-mTBI.
- These findings offer valuable prognostic information for pediatric concussion recovery.
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