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Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow

Neuroimaging has been used to describe the pathophysiology of sport-related concussion during early injury, with effects that may persist beyond medical clearance to return-to-play (RTP). However, studies are typically cross-sectional, comparing groups of concussed and uninjured athletes. It is impo...

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Autores principales: Churchill, Nathan W., Hutchison, Michael G., Graham, Simon J., Schweizer, Tom A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997378/
https://www.ncbi.nlm.nih.gov/pubmed/32015365
http://dx.doi.org/10.1038/s41598-020-58073-9
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author Churchill, Nathan W.
Hutchison, Michael G.
Graham, Simon J.
Schweizer, Tom A.
author_facet Churchill, Nathan W.
Hutchison, Michael G.
Graham, Simon J.
Schweizer, Tom A.
author_sort Churchill, Nathan W.
collection PubMed
description Neuroimaging has been used to describe the pathophysiology of sport-related concussion during early injury, with effects that may persist beyond medical clearance to return-to-play (RTP). However, studies are typically cross-sectional, comparing groups of concussed and uninjured athletes. It is important to determine whether these findings are consistent with longitudinal change at the individual level, relative to their own pre-injury baseline. A cohort of N = 123 university-level athletes were scanned with magnetic resonance imaging (MRI). Of this group, N = 12 acquired a concussion and were re-scanned at early symptomatic injury and at RTP. A sub-group of N = 44 uninjured athletes were also re-imaged, providing a normative reference group. Among concussed athletes, abnormalities were identified for white matter fractional anisotropy and mean diffusivity, along with grey matter cerebral blood flow, using both cross-sectional (CS) and longitudinal (LNG) approaches. The spatial patterns of abnormality for CS and LNG were distinct, with median fractional overlap below 0.10 and significant differences in the percentage of abnormal voxels. However, the analysis methods did not differ in the amount of change from symptomatic injury to RTP and in the direction of observed abnormalities. These results highlight the impact of using pre-injury baseline data when evaluating concussion-related brain abnormalities at the individual level.
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spelling pubmed-69973782020-02-10 Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow Churchill, Nathan W. Hutchison, Michael G. Graham, Simon J. Schweizer, Tom A. Sci Rep Article Neuroimaging has been used to describe the pathophysiology of sport-related concussion during early injury, with effects that may persist beyond medical clearance to return-to-play (RTP). However, studies are typically cross-sectional, comparing groups of concussed and uninjured athletes. It is important to determine whether these findings are consistent with longitudinal change at the individual level, relative to their own pre-injury baseline. A cohort of N = 123 university-level athletes were scanned with magnetic resonance imaging (MRI). Of this group, N = 12 acquired a concussion and were re-scanned at early symptomatic injury and at RTP. A sub-group of N = 44 uninjured athletes were also re-imaged, providing a normative reference group. Among concussed athletes, abnormalities were identified for white matter fractional anisotropy and mean diffusivity, along with grey matter cerebral blood flow, using both cross-sectional (CS) and longitudinal (LNG) approaches. The spatial patterns of abnormality for CS and LNG were distinct, with median fractional overlap below 0.10 and significant differences in the percentage of abnormal voxels. However, the analysis methods did not differ in the amount of change from symptomatic injury to RTP and in the direction of observed abnormalities. These results highlight the impact of using pre-injury baseline data when evaluating concussion-related brain abnormalities at the individual level. Nature Publishing Group UK 2020-02-03 /pmc/articles/PMC6997378/ /pubmed/32015365 http://dx.doi.org/10.1038/s41598-020-58073-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Churchill, Nathan W.
Hutchison, Michael G.
Graham, Simon J.
Schweizer, Tom A.
Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow
title Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow
title_full Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow
title_fullStr Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow
title_full_unstemmed Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow
title_short Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow
title_sort baseline vs. cross-sectional mri of concussion: distinct brain patterns in white matter and cerebral blood flow
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997378/
https://www.ncbi.nlm.nih.gov/pubmed/32015365
http://dx.doi.org/10.1038/s41598-020-58073-9
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