Cited by Diffusion MRI Harmonization via Personalized Template Mapping

Carinna M. Torgerson,

Katherine L. Bottenhorn, Hedyeh Ahmadi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 19, 2024

Adolescent neuroimaging studies of sex differences in the human brain predominantly examine mean between males and females. This focus on between-groups without probing relative distributions similarities may contribute to both conflation overestimation sexual dimorphism developing brain. We aimed characterize variance macro- micro-structure early adolescence as it pertains at birth using a large sample 9-11 year-olds from Brain Cognitive Development (ABCD) Study (N=7,723). Specifically, for global regional estimates gray white matter volume, cortical thickness, microstructure (i.e., fractional anisotropy diffusivity), we examined: within- between-sex variance, overlap male female distributions, inhomogeneity via Fligner-Killeen test, an analysis (ANOSIM). For completeness, examined these uncorrected (raw) residualized after mixed-effects modeling account age, pubertal development, socioeconomic status, race, ethnicity, MRI scanner manufacturer, total where applicable. The was universally greater than difference (overlap coefficient range: 0.585 - 0.985) ratio within-sex similar (ANOSIM R -0.001 0.117). All subcortical volumes showed significant whereas minority regions anisotropy, diffusivity. Inhomogeneity reduced accounting other sources variance. Overlap coefficients were larger ANOSIM values smaller outcomes, indicating once covariates. Reported adolescent structure be driven by disparities rather binary, sex-based phenotypes. Contrary popular view sexually dimorphic, found more similarity sexes all measurements examined. study builds upon previous findings illustrating importance considering when examining structure.

Language: Английский

Citations

Carinna M. Torgerson,

Katherine L. Bottenhorn, Hedyeh Ahmadi

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Abstract Background Adolescent neuroimaging studies of sex differences in the human brain predominantly examine mean between males and females. This focus on between-groups without probing relative distributions similarities may contribute to both conflation overestimation sexual dimorphism developing brain. Methods We aimed characterize variance macro- micro-structure early adolescence as it pertains at birth using a large sample 9-11 year-olds from Brain Cognitive Development (ABCD) Study (N=7,723). Specifically, for global regional estimates gray white matter volume, cortical thickness, microstructure (i.e., fractional anisotropy diffusivity), we examined: within- between-sex variance, overlap male female distributions, inhomogeneity via Fligner-Killeen test, an analysis (ANOSIM). For completeness, examined these uncorrected (raw) residualized after mixed-effects modeling account age, pubertal development, socioeconomic status, race, ethnicity, MRI scanner manufacturer, total where applicable. Results The was universally greater than difference (overlap coefficient range: 0.585 - 0.985) ratio within-sex similar (ANOSIM R -0.001 0.117). All subcortical volumes showed significant whereas minority regions anisotropy, diffusivity. Inhomogeneity reduced accounting other sources variance. Overlap coefficients were larger ANOSIM values smaller outcomes, indicating once covariates. Conclusions Reported adolescent structure be driven by disparities rather binary, sex-based phenotypes. Contrary popular view sexually dimorphic, found more similarity sexes all measurements examined. study builds upon previous findings illustrating importance considering when examining structure.

Language: Английский

Citations

Sex Differences in the Brain’s White Matter Microstructure during Development assessed using Advanced Diffusion MRI Models DOI

Sebastian Benavidez,

Zvart Abaryan,

Gaon S. Kim

et al.

Published: July 15, 2024

Typical sex differences in white matter (WM) microstructure during development are incompletely understood. Here we evaluated WM typical brain using a sample of neurotypical individuals across wide developmental age (N=239, aged 5-22 years). We used the conventional diffusion-weighted MRI (dMRI) model, diffusion tensor imaging (DTI), and two advanced dMRI models, distribution function (TDF) neurite orientation dispersion density (NODDI) to assess microstructure. exhibited significant, regionally consistent development. Additionally, TDF model was most sensitive detecting differences. These findings highlight importance considering neurodevelopmental research underscore value model.

Language: Английский

Citations

Associations between psychological resilience and metrics of white matter microstructure in pediatric concussion DOI

Olivier Brown, Katherine Healey, Zhuo Fang

et al.

Human Brain Mapping, Journal Year: 2023, Volume and Issue: 44(10), P. 3986 - 3997

Published: May 1, 2023

Abstract This study investigated associations between psychological resilience and characteristics of white matter microstructure in pediatric concussion. is a case control planned substudy larger randomized controlled trial. Children with an acute concussion or orthopedic injury were recruited from the emergency department. Participants completed both Connor–Davidson Resilience Scale 10 MRI at 72 h 4‐weeks post‐injury. The association resiliency fractional anisotropy (FA), mean diffusivity (MD), axial (AD), radial (RD) timepoints examined. We examined whether these moderated by group. captured diffusion tensor imaging metrics 4 weeks was also investigated. Clusters extracted using significance threshold threshold‐free cluster enhancement corrected p < .05. A total 66 children (median (IQR) age = 12.88 (IQR: 11.80–14.36); 47% female) 29 orthopedic‐injury 12.49 11.18–14.01); 41% included. negative correlation identified group FA. Meanwhile, positive correlations MD RD. These findings suggest that associated forceps minor, superior longitudinal fasciculus, anterior thalamic radiation post‐concussion. seems to be neural integrity only phase thus may considered when researching recovery.

Language: Английский

Citations

Diffusion MRI Harmonization via Personalized Template Mapping DOI

Yihao Xia, Yonggang Shi

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 14, 2023

Abstract One fundamental challenge in diffusion MRI (dMRI) harmonization is to disentangle the contributions of scanner-related effects from variable brain anatomy for observed imaging signals. Conventional methods rely on establishing an atlas space resolve anatomical variability and generate a unified inter-site mapping function. However, this approach limited accounting misalignment neuroanatomy that still widely persists even after registration, especially regions close cortical boundaries. To overcome challenge, we propose personalized framework paper more effectively address confounding dMRI harmonization. Instead using common template representing site-effects all subjects, main novelty our method adaptive computation templates both source target scanning sites estimate We integrate with rotation invariant spherical harmonics (RISH) features achieve signals between sites. In experiments, proposed applied harmonize data acquired two platforms: Siemens Prisma GE MR750 Adolescent Brain Cognitive Development (ABCD) dataset compared state-of-the-art based RISH features. Our results indicate achieves superior performance not only reducing variations due scanner differences but also preserving sex-related biological original cohorts. Moreover, assess impact estimation fiber orientation distributions (FOD) show robustness procedure

Language: Английский

Citations