More similarity than difference: comparison of within- and between-sex variance in early adolescent brain structure DOI Creative Commons

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

Adolescent Neurodevelopmental Variance Across Social Strata DOI Creative Commons
Katherine L. Bottenhorn,

Carlos Cardenas‐Iniguez,

Jared N. Schachner

et al.

JAMA Network Open, Journal Year: 2024, Volume and Issue: 7(5), P. e2410441 - e2410441

Published: May 8, 2024

This cohort study explores variability in neurodevelopment across sociodemographic factors among youths.

Language: Английский

Citations

0
Spatiotemporal patterns in cortical development: Age, puberty, and individual variability from 9 to 13 years of age DOI
Katherine L. Bottenhorn,

Jordan D. Corbett,

Hedyeh Ahmadi

et al.

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

Published: July 1, 2024

Abstract Humans and nonhuman primate studies suggest that timing tempo of cortical development varies neuroanatomically along a sensorimotor-to-association (S-A) axis. Prior human have reported principal S-A axis across various modalities, but largely rely on cross-sectional samples with wide age-ranges. Here, we investigate developmental changes individual variability in organization the between ages 9-13 years using large, longitudinal sample (N = 2487-3747, 46-50% female) from Adolescent Brain Cognitive Development Study (ABCD Study®). This work assesses multiple aspects neurodevelopment indexed by thickness, microarchitecture, resting-state functional fluctuations. First, evaluated age-related and, then, computed individual-level alignment brain assessing differences therein due to age, sex, puberty. Varying degrees linear quadratic were identified Yet, these patterns overshadowed considerable alignment. Even within individuals, there was little correspondence patterning different investigated (i.e., morphology, function). Some variation morphology microarchitecture explained pubertal development. Altogether, this contextualizes prior findings regional age do progress an at group level, while highlighting broad change individuals development, part sex Significance Statement Understanding normative adolescent change, therein, is crucial for disentangling healthy abnormal We used neuroimaging data study several during early adolescence assessed their cerebral cortex. Age curvilinear However, sensorimotor-association varied considerably, driven

Language: Английский

Citations

0
More similarity than difference: comparison of within- and between-sex variance in early adolescent brain structure DOI Creative Commons

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

0
More similarity than difference: comparison of within- and between-sex variance in early adolescent brain structure DOI Creative Commons

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

0