Development of brain atlases for early-to-middle adolescent collision-sport athletes

Abstract Human brains develop across the life span and largely vary in morphology. Adolescent collision-sport athletes undergo repetitive head impacts over years of practices and competitions, and therefore may exhibit a neuroanatomical trajectory different from healthy adolescents in general. Howev...

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Autores principales: Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Ikbeom Jang, Nicole L. Vike, Diana O. Svaldi, Trey E. Shenk, Victoria N. Poole, Evan L. Breedlove, Gregory G. Tamer, Larry J. Leverenz, Ulrike Dydak, Eric A. Nauman, Yunjie Tong, Thomas M. Talavage, Joseph V. Rispoli
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/0dbda15dc83540f78257831fff8c7e21
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spelling oai:doaj.org-article:0dbda15dc83540f78257831fff8c7e212021-12-02T17:04:59ZDevelopment of brain atlases for early-to-middle adolescent collision-sport athletes10.1038/s41598-021-85518-62045-2322https://doaj.org/article/0dbda15dc83540f78257831fff8c7e212021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85518-6https://doaj.org/toc/2045-2322Abstract Human brains develop across the life span and largely vary in morphology. Adolescent collision-sport athletes undergo repetitive head impacts over years of practices and competitions, and therefore may exhibit a neuroanatomical trajectory different from healthy adolescents in general. However, an unbiased brain atlas targeting these individuals does not exist. Although standardized brain atlases facilitate spatial normalization and voxel-wise analysis at the group level, when the underlying neuroanatomy does not represent the study population, greater biases and errors can be introduced during spatial normalization, confounding subsequent voxel-wise analysis and statistical findings. In this work, targeting early-to-middle adolescent (EMA, ages 13–19) collision-sport athletes, we developed population-specific brain atlases that include templates (T1-weighted and diffusion tensor magnetic resonance imaging) and semantic labels (cortical and white matter parcellations). Compared to standardized adult or age-appropriate templates, our templates better characterized the neuroanatomy of the EMA collision-sport athletes, reduced biases introduced during spatial normalization, and exhibited higher sensitivity in diffusion tensor imaging analysis. In summary, these results suggest the population-specific brain atlases are more appropriate towards reproducible and meaningful statistical results, which better clarify mechanisms of traumatic brain injury and monitor brain health for EMA collision-sport athletes.Yukai ZouWenbin ZhuHo-Ching YangIkbeom JangNicole L. VikeDiana O. SvaldiTrey E. ShenkVictoria N. PooleEvan L. BreedloveGregory G. TamerLarry J. LeverenzUlrike DydakEric A. NaumanYunjie TongThomas M. TalavageJoseph V. RispoliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yukai Zou
Wenbin Zhu
Ho-Ching Yang
Ikbeom Jang
Nicole L. Vike
Diana O. Svaldi
Trey E. Shenk
Victoria N. Poole
Evan L. Breedlove
Gregory G. Tamer
Larry J. Leverenz
Ulrike Dydak
Eric A. Nauman
Yunjie Tong
Thomas M. Talavage
Joseph V. Rispoli
Development of brain atlases for early-to-middle adolescent collision-sport athletes
description Abstract Human brains develop across the life span and largely vary in morphology. Adolescent collision-sport athletes undergo repetitive head impacts over years of practices and competitions, and therefore may exhibit a neuroanatomical trajectory different from healthy adolescents in general. However, an unbiased brain atlas targeting these individuals does not exist. Although standardized brain atlases facilitate spatial normalization and voxel-wise analysis at the group level, when the underlying neuroanatomy does not represent the study population, greater biases and errors can be introduced during spatial normalization, confounding subsequent voxel-wise analysis and statistical findings. In this work, targeting early-to-middle adolescent (EMA, ages 13–19) collision-sport athletes, we developed population-specific brain atlases that include templates (T1-weighted and diffusion tensor magnetic resonance imaging) and semantic labels (cortical and white matter parcellations). Compared to standardized adult or age-appropriate templates, our templates better characterized the neuroanatomy of the EMA collision-sport athletes, reduced biases introduced during spatial normalization, and exhibited higher sensitivity in diffusion tensor imaging analysis. In summary, these results suggest the population-specific brain atlases are more appropriate towards reproducible and meaningful statistical results, which better clarify mechanisms of traumatic brain injury and monitor brain health for EMA collision-sport athletes.
format article
author Yukai Zou
Wenbin Zhu
Ho-Ching Yang
Ikbeom Jang
Nicole L. Vike
Diana O. Svaldi
Trey E. Shenk
Victoria N. Poole
Evan L. Breedlove
Gregory G. Tamer
Larry J. Leverenz
Ulrike Dydak
Eric A. Nauman
Yunjie Tong
Thomas M. Talavage
Joseph V. Rispoli
author_facet Yukai Zou
Wenbin Zhu
Ho-Ching Yang
Ikbeom Jang
Nicole L. Vike
Diana O. Svaldi
Trey E. Shenk
Victoria N. Poole
Evan L. Breedlove
Gregory G. Tamer
Larry J. Leverenz
Ulrike Dydak
Eric A. Nauman
Yunjie Tong
Thomas M. Talavage
Joseph V. Rispoli
author_sort Yukai Zou
title Development of brain atlases for early-to-middle adolescent collision-sport athletes
title_short Development of brain atlases for early-to-middle adolescent collision-sport athletes
title_full Development of brain atlases for early-to-middle adolescent collision-sport athletes
title_fullStr Development of brain atlases for early-to-middle adolescent collision-sport athletes
title_full_unstemmed Development of brain atlases for early-to-middle adolescent collision-sport athletes
title_sort development of brain atlases for early-to-middle adolescent collision-sport athletes
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/0dbda15dc83540f78257831fff8c7e21
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