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

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

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.

2045-2322
Zou, Yukai
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Zhu, Wenbin
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Yang, Ho-Ching
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Jang, Ikbeom
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Vike, Nicole L
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Svaldi, Diana O
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Shenk, Trey E
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Poole, Victoria N
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Breedlove, Evan L
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Tamer, Gregory G
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Leverenz, Larry J
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Dydak, Ulrike
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Nauman, Eric A
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Tong, Yunjie
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Talavage, Thomas M
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Rispoli, Joseph V
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Zou, Yukai
328b4fd9-da35-42bb-a032-b0a98ed33a2d
Zhu, Wenbin
96bc6527-02a3-4f15-baa1-3888bd1de6a4
Yang, Ho-Ching
734871fe-fc2a-414b-a6a0-5c6c5633706f
Jang, Ikbeom
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Vike, Nicole L
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Svaldi, Diana O
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Shenk, Trey E
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Poole, Victoria N
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Breedlove, Evan L
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Tamer, Gregory G
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Leverenz, Larry J
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Dydak, Ulrike
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Nauman, Eric A
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Tong, Yunjie
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Talavage, Thomas M
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Rispoli, Joseph V
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Zou, Yukai, Zhu, Wenbin, Yang, Ho-Ching, Jang, Ikbeom, Vike, Nicole L, Svaldi, Diana O, Shenk, Trey E, Poole, Victoria N, Breedlove, Evan L, Tamer, Gregory G, Leverenz, Larry J, Dydak, Ulrike, Nauman, Eric A, Tong, Yunjie, Talavage, Thomas M and Rispoli, Joseph V (2021) Development of brain atlases for early-to-middle adolescent collision-sport athletes. Scientific Reports, 11 (1), [6440]. (doi:10.1038/s41598-021-85518-6).

Record type: Article

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.

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s41598-021-85518-6 - Version of Record
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Accepted/In Press date: 15 February 2021
Published date: 19 March 2021

Identifiers

Local EPrints ID: 449758
URI: http://eprints.soton.ac.uk/id/eprint/449758
ISSN: 2045-2322
PURE UUID: 7e40c806-1556-462c-89d3-ed849f3c1e05
ORCID for Yukai Zou: ORCID iD orcid.org/0000-0002-9924-5926

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Date deposited: 16 Jun 2021 16:30
Last modified: 17 Mar 2024 04:05

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Contributors

Author: Yukai Zou ORCID iD
Author: Wenbin Zhu
Author: Ho-Ching Yang
Author: Ikbeom Jang
Author: Nicole L Vike
Author: Diana O Svaldi
Author: Trey E Shenk
Author: Victoria N Poole
Author: Evan L Breedlove
Author: Gregory G Tamer
Author: Larry J Leverenz
Author: Ulrike Dydak
Author: Eric A Nauman
Author: Yunjie Tong
Author: Thomas M Talavage
Author: Joseph V Rispoli

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