Literature DB >> 32178577

Post-Acute Cortical Thickness in Children with Mild Traumatic Brain Injury versus Orthopedic Injury.

Ashley L Ware1,2, Naomi J Goodrich-Hunsaker3,4, Catherine Lebel2,5, Ayushi Shukla2,5, Elisabeth A Wilde3, Tracy J Abildskov3, Erin D Bigler3,4, Daniel M Cohen6, Leslie K Mihalov6, Ann Bacevice7, Barbara A Bangert7, H Gerry Taylor6, Keith Owen Yeates1,2,8.   

Abstract

Studies of brain morphometry may illuminate the effects of pediatric mild traumatic brain injury (TBI; e.g., concussion). However, no published studies have examined cortical thickness in the early injury phases of pediatric mild TBI using an appropriate comparison group. The current study used an automated approach (i.e., FreeSurfer) to determine whether cortical thickness differed in children following a mild TBI or a mild orthopedic injury (OI), and to examine whether post-acute cortical thickness predicted post-acute and chronic post-concussive symptoms (PCS). Children ages 8.00-16.99 years with mild TBI (n = 136) or OI (n = 70) 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 (3-24 days post-injury) assessment, which included a 3 Tesla MRI, and 3- and 6-month post-injury assessments. Parents and children rated PCS at each assessment. Cortical thickness was estimated using FreeSurfer. Linear mixed effects and multi-variable negative binomial regression models were used to test study aims, with false discovery rate (FDR) correction for multiple comparisons. Groups differed significantly on left parietal cortical thickness (TBI > OI) after FDR correction. Cortical thickness also varied by brain subregion and age, but not sex. Groups differed significantly on PCS post-acutely (TBI > OI), but not at 3 or 6 months. Right frontal thickness was positively related to post-acute PCS in both groups. Right cingulum thickness predicted chronic PCS in the OI group only. Results highlight the complexity of predicting outcomes of pediatric mild TBI from post-acute neuroimaging biomarkers.

Entities:  

Keywords:  cortical thickness; mild TBI; orthopedic injury; pediatric TBI; structural MRI

Year:  2020        PMID: 32178577      PMCID: PMC7462020          DOI: 10.1089/neu.2019.6850

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  60 in total

1.  Longitudinal mapping of cortical thickness and brain growth in normal children.

Authors:  Elizabeth R Sowell; Paul M Thompson; Christiana M Leonard; Suzanne E Welcome; Eric Kan; Arthur W Toga
Journal:  J Neurosci       Date:  2004-09-22       Impact factor: 6.167

2.  Accelerated longitudinal cortical thinning in adolescence.

Authors:  Dongming Zhou; Catherine Lebel; Sarah Treit; Alan Evans; Christian Beaulieu
Journal:  Neuroimage       Date:  2014-10-13       Impact factor: 6.556

3.  Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

Authors:  Franz Faul; Edgar Erdfelder; Axel Buchner; Albert-Georg Lang
Journal:  Behav Res Methods       Date:  2009-11

4.  Standardized assessment of concussion (SAC): on-site mental status evaluation of the athlete.

Authors:  M McCrea; J P Kelly; C Randolph; J Kluge; E Bartolic; G Finn; B Baxter
Journal:  J Head Trauma Rehabil       Date:  1998-04       Impact factor: 2.710

5.  Postconcussion symptoms are associated with cerebral cortical thickness in healthy collegiate and preparatory school ice hockey players.

Authors:  Matthew D Albaugh; Catherine Orr; Joshua P Nickerson; Cole Zweber; James R Slauterbeck; Scott Hipko; Jay Gonyea; Trevor Andrews; J Curtis Brackenbury; Richard Watts; James J Hudziak
Journal:  J Pediatr       Date:  2014-11-18       Impact factor: 4.406

6.  Acquisition-related morphological variability in structural MRI.

Authors:  Arne Littmann; Jens Guehring; Christian Buechel; Hans-Siegfried Stiehl
Journal:  Acad Radiol       Date:  2006-09       Impact factor: 3.173

7.  Evaluation of motion and its effect on brain magnetic resonance image quality in children.

Authors:  Onur Afacan; Burak Erem; Diona P Roby; Noam Roth; Amir Roth; Sanjay P Prabhu; Simon K Warfield
Journal:  Pediatr Radiol       Date:  2016-08-03

8.  Head motion during MRI acquisition reduces gray matter volume and thickness estimates.

Authors:  Martin Reuter; M Dylan Tisdall; Abid Qureshi; Randy L Buckner; André J W van der Kouwe; Bruce Fischl
Journal:  Neuroimage       Date:  2014-12-10       Impact factor: 6.556

9.  Methodological issues and research recommendations for mild traumatic brain injury: the WHO Collaborating Centre Task Force on Mild Traumatic Brain Injury.

Authors:  Linda J Carroll; J David Cassidy; Lena Holm; Jess Kraus; Victor G Coronado
Journal:  J Rehabil Med       Date:  2004-02       Impact factor: 2.912

Review 10.  What is the definition of sports-related concussion: a systematic review.

Authors:  Paul McCrory; Nina Feddermann-Demont; Jiří Dvořák; J David Cassidy; Andrew McIntosh; Pieter E Vos; Ruben J Echemendia; Willem Meeuwisse; Alexander A Tarnutzer
Journal:  Br J Sports Med       Date:  2017-06       Impact factor: 13.800

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  2 in total

Review 1.  Pediatric Traumatic Brain Injury: An Update on Preclinical Models, Clinical Biomarkers, and the Implications of Cerebrovascular Dysfunction.

Authors:  Divine C Nwafor; Allison L Brichacek; Chase H Foster; Brandon P Lucke-Wold; Ahsan Ali; Mark A Colantonio; Candice M Brown; Rabia Qaiser
Journal:  J Cent Nerv Syst Dis       Date:  2022-05-22

Review 2.  Effect of Hypothermia Therapy on Children with Traumatic Brain Injury: A Meta-Analysis of Randomized Controlled Trials.

Authors:  Qiujing Du; Yuwei Liu; Xinrong Chen; Ka Li
Journal:  Brain Sci       Date:  2022-07-30
  2 in total

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