| Literature DB >> 33742031 |
Yukai Zou1,2, Wenbin Zhu3, Ho-Ching Yang1, Ikbeom Jang4, Nicole L Vike5, Diana O Svaldi1, Trey E Shenk4, Victoria N Poole1,5, Evan L Breedlove6, Gregory G Tamer1, Larry J Leverenz7, Ulrike Dydak8, Eric A Nauman1,5,6, Yunjie Tong1, Thomas M Talavage1,4, Joseph V Rispoli9,10.
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.Entities:
Year: 2021 PMID: 33742031 DOI: 10.1038/s41598-021-85518-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379