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

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. How...

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Autores principales: Anderson, Evan D, Talukdar, Tanveer, Goodwin, Grace, Di Pietro, Valentina, Yakoub, Kamal M, Zwilling, Christopher E, Davies, David, Belli, Antonio, Barbey, Aron K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465085/
https://www.ncbi.nlm.nih.gov/pubmed/37649639
http://dx.doi.org/10.1093/braincomms/fcad215
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author Anderson, Evan D
Talukdar, Tanveer
Goodwin, Grace
Di Pietro, Valentina
Yakoub, Kamal M
Zwilling, Christopher E
Davies, David
Belli, Antonio
Barbey, Aron K
author_facet Anderson, Evan D
Talukdar, Tanveer
Goodwin, Grace
Di Pietro, Valentina
Yakoub, Kamal M
Zwilling, Christopher E
Davies, David
Belli, Antonio
Barbey, Aron K
author_sort Anderson, Evan D
collection PubMed
description 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.
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spelling pubmed-104650852023-08-30 Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion Anderson, Evan D Talukdar, Tanveer Goodwin, Grace Di Pietro, Valentina Yakoub, Kamal M Zwilling, Christopher E Davies, David Belli, Antonio Barbey, Aron K Brain Commun Original Article 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. Oxford University Press 2023-08-16 /pmc/articles/PMC10465085/ /pubmed/37649639 http://dx.doi.org/10.1093/braincomms/fcad215 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Anderson, Evan D
Talukdar, Tanveer
Goodwin, Grace
Di Pietro, Valentina
Yakoub, Kamal M
Zwilling, Christopher E
Davies, David
Belli, Antonio
Barbey, Aron K
Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion
title Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion
title_full Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion
title_fullStr Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion
title_full_unstemmed Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion
title_short Assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion
title_sort assessing blood oxygen level–dependent signal variability as a biomarker of brain injury in sport-related concussion
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465085/
https://www.ncbi.nlm.nih.gov/pubmed/37649639
http://dx.doi.org/10.1093/braincomms/fcad215
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