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

Sex, gender diversity, and brain structure in early adolescence DOI Creative Commons

Carinna M. Torgerson,

Hedyeh Ahmadi, Jeiran Choupan

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(5)

Published: April 1, 2024

Abstract There remains little consensus about the relationship between sex and brain structure, particularly in early adolescence. Moreover, few pediatric neuroimaging studies have analyzed both gender as variables of interest—many which included small sample sizes relied on binary definitions gender. The current study examined diversity with a continuous felt‐gender score categorized based X Y allele frequency large children ages 9–11 years old ( N = 7195). Then, statistical model‐building approach was employed to determine whether independently or jointly relate morphology, including subcortical volume, cortical thickness, gyrification, white matter microstructure. Additional sensitivity analyses found that male versus female differences gyrification were largely accounted for by total rather than per se. model sex, but not diversity, best‐fitting 60.1% gray regions 61.9% after adjusting volume. proportion variance negligible all cases. While models explained greater amount regions, alone significant predictor its own any examined. Overall, these findings demonstrate at old, accounts while is directly associated neurostructural diversity.

Language: Английский

Citations

9
Air pollution from biomass burning disrupts early adolescent cortical microarchitecture development DOI Creative Commons
Katherine L. Bottenhorn,

Kirthana Sukumaran,

Carlos Cardenas‐Iniguez

et al.

Environment International, Journal Year: 2024, Volume and Issue: 189, P. 108769 - 108769

Published: May 27, 2024

Exposure to outdoor particulate matter (PM

Language: Английский

Citations

6
Genetic and brain similarity independently predict childhood anthropometrics and neighborhood socioeconomic conditions DOI Creative Commons
Andreas Dahl, Espen Moen Eilertsen,

Sara F. Rodriguez-Cabello

et al.

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 65, P. 101339 - 101339

Published: Jan. 4, 2024

Linking the developing brain with individual differences in clinical and demographic traits is challenging due to substantial interindividual heterogeneity of anatomy organization. Here we employ an integrative approach that parses both cortical thickness common genetic variants, assess their effects on a wide set childhood traits. The uses linear mixed model framework obtain unique each type similarity, as well covariance. We this sample 7760 unrelated children ABCD cohort baseline (mean age 9.9, 46.8% female). In general, associations between similarity were limited anthropometrics such height, weight, birth marker neighborhood socioeconomic conditions. Common variants explained significant proportions variance across nearly all included outcomes, although estimates somewhat lower than previous reports. No covariance was found. present findings highlight connection conditions brain, which appear be independent from population-based sample.

Language: Английский

Citations

4
Domain adapted brain network fusion captures variance related to pubertal brain development and mental health DOI Creative Commons
Dominik Kraft, Dag Alnæs, Tobias Kaufmann

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Oct. 23, 2023

Abstract Puberty demarks a period of profound brain dynamics that orchestrates changes to multitude neuroimaging-derived phenotypes. This complexity poses dimensionality problem when attempting chart an individual’s development over time. Here, we illustrate shifts in subject similarity imaging data relate pubertal maturation the longitudinal ABCD study. Given puberty depicts critical window for emerging mental health issues, additionally show our model is capable capturing variance adolescent related psychopathology population-based and clinical cohort. These results suggest low-dimensional reference spaces based on similarities render useful youths.

Language: Английский

Citations

4
Air pollution from biomass burning disrupts early adolescent cortical microarchitecture development DOI Creative Commons
Katherine L. Bottenhorn,

Kirthana Sukumaran,

Carlos Cardenas‐Iniguez

et al.

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

Published: Oct. 24, 2023

Abstract Exposure to outdoor particulate matter (PM 2.5 ) represents a ubiquitous threat human health, and particularly the neurotoxic effects of PM from multiple sources may disrupt neurodevelopment. Studies addressing neurodevelopmental implications exposure have been limited by small, geographically samples largely focus either on macroscale cortical morphology or postmortem histological staining total mass. Here, we leverage residentially assigned six, data-driven neuroimaging data longitudinal Adolescent Brain Cognitive Development Study (ABCD Study®), collected 21 different recruitment sites across United States. To contribute an interpretable actionable assessment role air pollution in developing brain, identified alterations microstructure development associated with specific using multivariate, partial least squares analyses. Specifically, average annual (i.e., at ages 8-10 years) biomass burning was related differences neurite cortex between 9 13 years age. Graphical

Language: Английский

Citations

4
Longitudinal sex-at-birth and age analyses of cortical structure in the ABCD Study® DOI Creative Commons
Andrew T. Marshall, Shana Adise, Eric Kan

et al.

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

Published: June 11, 2024

Abstract While the brain continues to develop during adolescence, such development may depend on sex-at-birth. However, elucidation of differences be hindered by analytical decisions (e.g., covariate selection address body/brain-size differences) and typical reporting cross-sectional data. To further evaluate adolescent cortical development, we analyzed data from Adolescent Brain Cognitive Development Study SM , whose cohort 11,000+ youth participants with biannual neuroimaging collection can facilitate understanding neuroanatomical change a critical developmental window. Doubly considering individual in context group-level effects, regional changes thickness, sulcal depth, surface area, volume between two timepoints (∼2 years apart) 9-to 12-year-olds assigned male or female First, conducted linear mixed-effects models gauge how controlling for intracranial volume, whole-brain (WBV), summary metric mean thickness) influenced interpretations age-dependent change. Next, evaluated relative thickness area as function sex-at-birth age. Here, showed that WBV (thickness, volume) total were more optimal covariates; different covariates would have substantially altered our overall sex-at-birth-specific development. Further, provided evidence suggest aggregate is changing generally comparable across those sex-at-birth, corresponding happening at slightly older ages Overall, these results help elucidate trajectories early adolescence. Significance Statement most brain’s happens life, much it still Because many factors alter trajectories, important shape/timing (i.e., what constitutes development). affected choose analyze them. way researchers brain/body size affects interpret variation over time. consider similar patterns simply groups. These support relatively novel analyzing

Language: Английский

Citations

1
Interactive roles of preterm-birth and socioeconomic status in cortical thickness of language-related brain structures: Findings from the Adolescent Brain Cognitive Development (ABCD) study DOI
Collin Nolte, Kalina J. Michalska, Paige M. Nelson

et al.

Cortex, Journal Year: 2024, Volume and Issue: 180, P. 1 - 17

Published: Aug. 23, 2024

Language: Английский

Citations

1
Linking Pre- and Perinatal Risk Factors to a Multivariate Fusion of Child Cortical Structure DOI Creative Commons
Linn R. S. Lindseth, Dani Beck, Lars T. Westlye

et al.

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

Published: Oct. 30, 2024

Abstract Pre- and perinatal factors such as maternal pregnancy child birth complications affect brain development, emphasizing the importance of early life exposures. While most previous studies have focused on a few variables in isolation, here, we investigated associations between broad range pregnancy- birth-related multivariate cortical MRI features. Our sample consisted 8,396 children aged 8.9 to 11.1 years from ABCD Study. Through multiple correspondence analysis factor mixed data, distilled numerous pre- into four overarching dimensions; complications, substance use, compromised fetal growth, newborn complications. Vertex-wise measures thickness, surface area, curvature were fused using linked independent component analysis. Linear effects models showed that including low weight, being born preterm, or twin, associated with smaller global area. Additionally, growth was two regional patterns reflecting complex combination 1) occipital, inferior frontal insular cortex, larger fronto-temporal thinner post-central thicker 2) occipital temporal lobe cortex. In contrast, use no structure. By employing multifactorial morphometric fusion approach, connected during area specific signatures across Significance Statement Early stages, prenatal periods, are critically important for wide real-life outcomes. this study, both globally reduced structural later late childhood. findings underscore providing support mothers these crucial phases, helping ensure optimal conditions healthy development.

Language: Английский

Citations

1
Executive functioning DOI
Sammy F. Ahmed, Dominic P. Kelly, Nicholas E. Waters

et al.

Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 149 - 161

Published: Dec. 9, 2023

Language: Английский

Citations

1
Behavioral and neural responses to social rejection: Individual differences in developmental trajectories across childhood and adolescence DOI Creative Commons
Jeroen D. Mulder, Simone Dobbelaar, Michelle Achterberg

et al.

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 66, P. 101365 - 101365

Published: March 16, 2024

Dealing with social rejection is challenging, especially during childhood when behavioral and neural responses to are still developing. In the current longitudinal study, we used a Bayesian multilevel growth curve model describe individual differences in development of large sample (n > 500). We found peak aggression following negative feedback (compared neutral feedback) late childhood, as well this developmental phase, possibly suggesting sensitive window for dealing across childhood. Moreover, evidence linear our three brain regions interest: The anterior insula, medial prefrontal cortex, dorsolateral cortex. addition providing insights trajectories study also makes meaningful methodological contribution: Our statistical analysis strategy (and online supplementary information) can be an example on how take into account many complexities neuroimaging datasets, while enabling researchers answer interesting questions about individual-level relationships.

Language: Английский

Citations

0