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NeuroImage. Clinical · Jan 2020
Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children.
- Ashley L Ware, Ayushi Shukla, Naomi J Goodrich-Hunsaker, Catherine Lebel, Elisabeth A Wilde, Tracy J Abildskov, Erin D Bigler, Daniel M Cohen, Leslie K Mihalov, Ann Bacevice, Barbara A Bangert, H Gerry Taylor, and Keith O Yeates.
- Department of Psychology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada. Electronic address: Ashley.ware@ucalgary.ca.
- Neuroimage Clin. 2020 Jan 1; 25: 102106.
IntroductionMild traumatic brain injury (TBI) is a global public health concern that affects millions of children annually. Mild TBI tends to result in subtle and diffuse alterations in brain tissue, which challenges accurate clinical detection and prognostication. Diffusion tensor imaging (DTI) holds promise as a diagnostic and prognostic tool, but little research has examined DTI in post-acute mild TBI. The current study compared post-acute white matter microstructure in children with mild TBI versus those with mild orthopedic injury (OI), and examined whether post-acute DTI metrics can predict post-acute and chronic post-concussive symptoms (PCS).Materials And MethodsChildren aged 8-16.99 years with mild TBI (n = 132) or OI (n = 69) were recruited at emergency department visits to two children's hospitals, during which parents rated children's pre-injury symptoms retrospectively. Children completed a post-acute (<2 weeks post-injury) assessment, which included a 3T MRI, and 3- and 6-month post-injury assessments. Parents and children rated PCS at each assessment. Mean diffusivity (MD) and fractional anisotropy (FA) were derived from diffusion-weighted MRI using Automatic Fiber Quantification software. Multiple multivariable linear and negative binomial regression models were used to test study aims, with False Discovery Rate (FDR) correction for multiple comparisons.ResultsNo significant group differences were found in any of the 20 white matter tracts after FDR correction. DTI metrics varied by age and sex, and site was a significant covariate. No interactions involving group, age, and sex were significant. DTI metrics in several tracts robustly predicted PCS ratings at 3- and 6-months post-injury, but only corpus callosum genu MD was significantly associated with post-acute PCS after FDR correction. Significant group by DTI metric interactions on chronic PCS ratings indicated that left cingulum hippocampus and thalamic radiation MD was positively associated with 3-month PCS in the OI group, but not in the mild TBI group.ConclusionsPost-acute white matter microstructure did not differ for children with mild TBI versus OI after correcting for multiple comparisons, but was predictive of post-acute and chronic PCS in both injury groups. These findings support the potential prognostic utility of this advanced DTI technique.Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.
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