Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion

Author:

Anderson Evan D12ORCID,Talukdar Tanveer1,Goodwin Grace13ORCID,Di Pietro Valentina145,Yakoub Kamal M45,Zwilling Christopher E1,Davies David45,Belli Antonio45,Barbey Aron K1678

Affiliation:

1. Decision Neuroscience Laboratory, University of Illinois Urbana-Champaign , Urbana, IL 61801 , USA

2. Air Force Research Laboratory, Wright-Patterson AFB , OH 45433 , USA

3. Department of Psychology, University of Nevada , Las Vegas, NV 89557 , USA

4. Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham , Birmingham B15 2TT , UK

5. NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham NHS Foundation Trust , Birmingham B15 2TH , UK

6. Department of Psychology, University of Illinois , Urbana, IL 61801 , USA

7. Department of Bioengineering, University of Illinois , Urbana, IL 61801 , USA

8. Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln , Lincoln, NE 68588 , USA

Abstract

Abstract Mild traumatic brain injury is a complex neurological disorder of significant concern among athletes who play contact sports. Athletes who sustain sport-related concussion typically undergo physical examination and neurocognitive evaluation to determine injury severity and return-to-play status. However, traumatic disruption to neurometabolic processes can occur with minimal detectable anatomic pathology or neurocognitive alteration, increasing the risk that athletes may be cleared for return-to-play during a vulnerable period and receive a repetitive injury. This underscores the need for sensitive functional neuroimaging methods to detect altered cerebral physiology in concussed athletes. The present study compared the efficacy of Immediate Post-concussion Assessment and Cognitive Testing composite scores and whole-brain measures of blood oxygen level–dependent signal variability for classifying concussion status and predicting concussion symptomatology in healthy, concussed and repetitively concussed athletes, assessing blood oxygen level–dependent signal variability as a potential diagnostic tool for characterizing functional alterations to cerebral physiology and assisting in the detection of sport-related concussion. We observed significant differences in regional blood oxygen level–dependent signal variability measures for concussed athletes but did not observe significant differences in Immediate Post-concussion Assessment and Cognitive Testing scores of concussed athletes. We further demonstrate that incorporating measures of functional brain alteration alongside Immediate Post-concussion Assessment and Cognitive Testing scores enhances the sensitivity and specificity of supervised random forest machine learning methods when classifying and predicting concussion status and post-concussion symptoms, suggesting that alterations to cerebrovascular status characterize unique variance that may aid in the detection of sport-related concussion and repetitive mild traumatic brain injury. These results indicate that altered blood oxygen level–dependent variability holds promise as a novel neurobiological marker for detecting alterations in cerebral perfusion and neuronal functioning in sport-related concussion, motivating future research to establish and validate clinical assessment protocols that can incorporate advanced neuroimaging methods to characterize altered cerebral physiology following mild traumatic brain injury.

Funder

National Institute for Health Research

Surgical Reconstruction and Microbiology Research Centre

Birmingham–Illinois Partnership Discovery, Engagement and Education

Publisher

Oxford University Press (OUP)

Subject

Neurology,Cellular and Molecular Neuroscience,Biological Psychiatry,Psychiatry and Mental health

Reference76 articles.

1. Emergency department visits for sports- and recreation-related traumatic brain injuries among children—United States, 2010–2016;Sarmiento;MMWR Morb Mortal Wkly Rep,2019

2. Traumatic brain injury in the US military: Epidemiology and key clinical and research programs;Helmick;Brain Imaging Behav,2015

3. Current and emerging rehabilitation for concussion: A review of the evidence;Broglio;Clin Sports Med,2015

4. Consensus statement on concussion in sport—The 5th international conference on concussion in sport held in Berlin, 2016;McCrory;Br J Sports Med.,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3