Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports

Abstract Repetitive head impacts (RHI) are a growing concern due to their possible neurocognitive effects, with research showing a season of RHI produce white matter (WM) changes seen on neuroimaging. We conducted a secondary analysis of diffusion tensor imaging (DTI) data for 28 contact athletes to...

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Autores principales:	Patrick D. Asselin, Yu Gu, Kian Merchant-Borna, Beau Abar, David W. Wright, Xing Qiu, Jeff J. Bazarian
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5dcc926abc264bdeaeb9df561d7de6a8
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spelling	oai:doaj.org-article:5dcc926abc264bdeaeb9df561d7de6a82021-12-02T19:06:33ZSpatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports10.1038/s41598-020-70604-y2045-2322https://doaj.org/article/5dcc926abc264bdeaeb9df561d7de6a82020-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-70604-yhttps://doaj.org/toc/2045-2322Abstract Repetitive head impacts (RHI) are a growing concern due to their possible neurocognitive effects, with research showing a season of RHI produce white matter (WM) changes seen on neuroimaging. We conducted a secondary analysis of diffusion tensor imaging (DTI) data for 28 contact athletes to compare WM changes. We collected pre-season and post-season DTI scans for each subject, approximately 3 months apart. We collected helmet data for the athletes, which we correlated with DTI data. We adapted the SPatial REgression Analysis of DTI (SPREAD) algorithm to conduct subject-specific longitudinal DTI analysis, and developed global inferential tools using functional norms and a novel robust p value combination test. At the individual level, most detected injured regions (93.3%) were associated with decreased FA values. Using meta-analysis techniques to combine injured regions across subjects, we found the combined injured region at the group level occupied the entire WM skeleton, suggesting the WM damage location is subject-specific. Several subject-specific functional summaries of SPREAD-detected WM change, e.g., the $${L}^{\infty }$$ L ∞ norm, significantly correlated with helmet impact measures, e.g. cumulative unweighted rotational acceleration (adjusted p = 0.0049), time between hits rotational acceleration (adjusted p value 0.0101), and time until DTI rotational acceleration (adjusted p = 0.0084), suggesting RHIs lead to WM changes.Patrick D. AsselinYu GuKian Merchant-BornaBeau AbarDavid W. WrightXing QiuJeff J. BazarianNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Patrick D. Asselin Yu Gu Kian Merchant-Borna Beau Abar David W. Wright Xing Qiu Jeff J. Bazarian Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports
description	Abstract Repetitive head impacts (RHI) are a growing concern due to their possible neurocognitive effects, with research showing a season of RHI produce white matter (WM) changes seen on neuroimaging. We conducted a secondary analysis of diffusion tensor imaging (DTI) data for 28 contact athletes to compare WM changes. We collected pre-season and post-season DTI scans for each subject, approximately 3 months apart. We collected helmet data for the athletes, which we correlated with DTI data. We adapted the SPatial REgression Analysis of DTI (SPREAD) algorithm to conduct subject-specific longitudinal DTI analysis, and developed global inferential tools using functional norms and a novel robust p value combination test. At the individual level, most detected injured regions (93.3%) were associated with decreased FA values. Using meta-analysis techniques to combine injured regions across subjects, we found the combined injured region at the group level occupied the entire WM skeleton, suggesting the WM damage location is subject-specific. Several subject-specific functional summaries of SPREAD-detected WM change, e.g., the $${L}^{\infty }$$ L ∞ norm, significantly correlated with helmet impact measures, e.g. cumulative unweighted rotational acceleration (adjusted p = 0.0049), time between hits rotational acceleration (adjusted p value 0.0101), and time until DTI rotational acceleration (adjusted p = 0.0084), suggesting RHIs lead to WM changes.
format	article
author	Patrick D. Asselin Yu Gu Kian Merchant-Borna Beau Abar David W. Wright Xing Qiu Jeff J. Bazarian
author_facet	Patrick D. Asselin Yu Gu Kian Merchant-Borna Beau Abar David W. Wright Xing Qiu Jeff J. Bazarian
author_sort	Patrick D. Asselin
title	Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports
title_short	Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports
title_full	Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports
title_fullStr	Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports
title_full_unstemmed	Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports
title_sort	spatial regression analysis of mr diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/5dcc926abc264bdeaeb9df561d7de6a8
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Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports

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