1. Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children
- Author
-
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
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Introduction: Mild 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 methods: Children 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 (
- Published
- 2020
- Full Text
- View/download PDF