Literature DB >> 33823646

No Evidence of a Difference in Susceptibility-Weighted Imaging Lesion Burden or Functional Network Connectivity between Children with Typical and Delayed Recovery Two Weeks Post-Concussion.

Jesse S Shapiro1,2,3, Michael Takagi1,2,3, Tim Silk1,4,5, Nicholas Anderson1, Cathriona Clarke1, Gavin A Davis1, Stephen J C Hearps1, Vera Ignjatovic1,5, Vanessa Rausa1, Marc L Seal1,5, Franz E Babl1,5,6, Vicki Anderson1,2,5,7.   

Abstract

Susceptibility weighted imaging (SWI) and resting state functional magnetic resonance imaging have been highlighted as two novel neuroimaging modalities that have been underutilized when attempting to predict whether a child with concussion will recover normally or have a delayed recovery course. This study aimed to investigate whether there was a difference between children who recover normally from a concussion and children with delayed recovery in terms of SWI lesion burden and resting state network makeup. Forty-one children who presented to the emergency department of a tertiary level pediatric hospital with concussion participated in this study as a part of a larger prospective, longitudinal observational cohort study into concussion assessment and recovery. Children underwent neuroimaging 2 weeks post-injury and were classified as either normally recovering (n = 27), or delayed recovering (n = 14) based on their post-concussion symptoms at 2 weeks post-injury. No participants showed lesions detected using SWI; therefore, no group differences could be assessed. No between-group resting state network differences were uncovered using dual regression analysis. These findings, alongside previously published work, suggest that potential causes of delayed recovery from concussion may not be found using current neuroimaging paradigms.

Entities:  

Keywords:  mild traumatic brain injury; pediatric concussion; pediatric neuroimaging; persisting post-concussion symptoms; post-concussion syndrome

Mesh:

Year:  2021        PMID: 33823646      PMCID: PMC8881952          DOI: 10.1089/neu.2021.0069

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   4.869


  34 in total

1.  Evaluating task-based brain network activity in pediatric subjects with an mTBI: mechanisms of functional compensation are symptom-level dependent.

Authors:  Scott A Holmes; Rajeet Singh-Saluja; Jen-Kai Chen; Isabelle Gagnon; Alain Ptito
Journal:  Brain Inj       Date:  2018-12-03       Impact factor: 2.311

Review 2.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

3.  Diffusion tensor imaging of acute mild traumatic brain injury in adolescents.

Authors:  E A Wilde; S R McCauley; J V Hunter; E D Bigler; Z Chu; Z J Wang; G R Hanten; M Troyanskaya; R Yallampalli; X Li; J Chia; H S Levin
Journal:  Neurology       Date:  2008-03-18       Impact factor: 9.910

4.  Longitudinal Changes in Resting State Connectivity and White Matter Integrity in Adolescents With Sports-Related Concussion.

Authors:  Donna L Murdaugh; Tricia Z King; Binjian Sun; Richard A Jones; Kim E Ono; Andrew Reisner; Thomas G Burns
Journal:  J Int Neuropsychol Soc       Date:  2018-08-24       Impact factor: 2.892

5.  Alterations in resting-state brain networks in concussed adolescent athletes.

Authors:  Michael Borich; Aliya-Nur Babul; Po Hsiang Yuan; Lara Boyd; Naznin Virji-Babul
Journal:  J Neurotrauma       Date:  2014-11-25       Impact factor: 5.269

Review 6.  Neuroimaging in paediatric mild traumatic brain injury: a systematic review.

Authors:  Vanessa C Rausa; Jesse Shapiro; Marc L Seal; Gavin A Davis; Vicki Anderson; Franz E Babl; Ryan Veal; Georgia Parkin; Nicholas P Ryan; Michael Takagi
Journal:  Neurosci Biobehav Rev       Date:  2020-09-06       Impact factor: 8.989

7.  Pediatric sports-related concussion produces cerebral blood flow alterations.

Authors:  Todd A Maugans; Chad Farley; Mekibib Altaye; James Leach; Kim M Cecil
Journal:  Pediatrics       Date:  2011-11-30       Impact factor: 7.124

8.  Detecting traumatic brain lesions in children: CT versus MRI versus susceptibility weighted imaging (SWI).

Authors:  Miriam H Beauchamp; Michael Ditchfield; Franz E Babl; Michael Kean; Cathy Catroppa; Keith O Yeates; Vicki Anderson
Journal:  J Neurotrauma       Date:  2011-06-09       Impact factor: 5.269

9.  Accuracy of PECARN, CATCH, and CHALICE head injury decision rules in children: a prospective cohort study.

Authors:  Franz E Babl; Meredith L Borland; Natalie Phillips; Amit Kochar; Sarah Dalton; Mary McCaskill; John A Cheek; Yuri Gilhotra; Jeremy Furyk; Jocelyn Neutze; Mark D Lyttle; Silvia Bressan; Susan Donath; Charlotte Molesworth; Kim Jachno; Brenton Ward; Amanda Williams; Amy Baylis; Louise Crowe; Ed Oakley; Stuart R Dalziel
Journal:  Lancet       Date:  2017-04-11       Impact factor: 79.321

10.  The epidemiology of paediatric head injuries: data from a referral centre in Victoria, Australia.

Authors:  Louise Crowe; Franz Babl; Vicki Anderson; Cathy Catroppa
Journal:  J Paediatr Child Health       Date:  2009-05-28       Impact factor: 1.954

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