Mapping individual differences in intermodal coupling in neurodevelopment DOI Creative Commons
Sarah M. Weinstein, Danni Tu, Fengling Hu

et al.

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

Published: June 28, 2024

Within-individual coupling between measures of brain structure and function evolves in development may underlie differential risk for neuropsychiatric disorders. Despite increasing interest the structure-function relationships, rigorous methods to quantify test individual differences remain nascent. In this article, we explore address gaps approaches testing spatially localizing intermodal coupling. We propose a new method, called CIDeR, which is designed simultaneously perform hypothesis way that limits false positive results improve detection true results. Through comparison across different coupling, delineate subtle hypotheses they test, ultimately lead researchers arrive at Finally, illustrate utility CIDeR two applications using data from Philadelphia Neurodevelopmental Cohort.

Language: Английский

Dimensions of Early-Life Adversity Are Differentially Associated With Patterns of Delayed and Accelerated Brain Maturation DOI Creative Commons
Dani Beck, Lucy Whitmore, Niamh MacSweeney

et al.

Biological Psychiatry, Journal Year: 2024, Volume and Issue: 97(1), P. 64 - 72

Published: July 29, 2024

BackgroundDifferent types of early-life adversity have been associated with children's brain structure and function. However, understanding the disparate influence distinct exposures on developing remains a major challenge.MethodsThis study investigates neural correlates 10 robust dimensions identified through exploratory factor analysis in large community sample youth from Adolescent Brain Cognitive Development (ABCD) Study. age models were trained, validated, tested separately T1-weighted (T1; N = 9524), diffusion tensor (DTI; 8834), resting-state functional (rs-fMRI; 8233) magnetic resonance imaging (MRI) data two time points (mean 10.7 years, SD 1.2, range 8.9-13.8 years).ResultsBayesian multilevel modelling supported associations between different younger- older-looking brains. Dimensions generally related to emotional neglect, such as lack primary secondary caregiver support, supervision, lower gaps (BAGs), i.e., younger-looking In contrast, psychopathology, trauma exposure, family aggression, substance use separation biological parent, socio-economic disadvantage neighbourhood safety higher BAGs, brains.ConclusionsThe findings suggest that are differentially neurodevelopmental patterns, indicative dimension-specific delayed accelerated maturation.

Language: Английский

Citations

10

Puberty differentially predicts brain maturation in male and female youth: A longitudinal ABCD Study DOI Creative Commons
Dani Beck, Lia Ferschmann, Niamh MacSweeney

et al.

Developmental Cognitive Neuroscience, Journal Year: 2023, Volume and Issue: 61, P. 101261 - 101261

Published: June 1, 2023

Research has demonstrated associations between pubertal development and brain maturation. However, existing studies have been limited by small samples, cross-sectional designs, inconclusive findings regarding directionality of effects sex differences. We examined the longitudinal temporal coupling puberty status assessed using Pubertal Development Scale (PDS) magnetic resonance imaging (MRI)-based grey white matter structure. Our sample consisted 8896 children adolescents at baseline (mean age = 9.9) 6099 follow-up 11.9) from Adolescent Brain Cognitive (ABCD) Study cohort. Applying multigroup Bivariate Latent Change Score (BLCS) models, we found that PDS predicted rate change in cortical thickness among females surface area for both males females. also a correlation co-occurring changes over time males. Diffusion tensor (DTI) analyses revealed correlated fractional anisotropy (FA) females, but no significant mean diffusivity (MD). results suggest predicts maturation, strength differ sex. Further research spanning entire duration is needed to understand extent contribution on youth brain.

Language: Английский

Citations

20

Differences in educational opportunity predict white matter development DOI Creative Commons
Ethan Roy, Amandine Van Rinsveld, Pierre Nedelec

et al.

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 67, P. 101386 - 101386

Published: April 22, 2024

Coarse measures of socioeconomic status, such as parental income or education, have been linked to differences in white matter development. However, these do not provide insight into specific aspects an individual's environment and how they relate brain On the other hand, educational intervention studies shown that changes context can drive measurable their matter. These studies, however, rarely consider factors results. In present study, we examined unique relationship between opportunity development, when controlling known factors. To explore this question, leveraged rich demographic neuroimaging data available ABCD well data-crosswalk Stanford Education Data Archive (SEDA). We find is related accelerated even accounting for factors, most pronounced tracts associated with academic skills. results suggest school a child attends has development years come.

Language: Английский

Citations

7

The role of brain structure in the association between pubertal timing and depression risk in an early adolescent sample (the ABCD Study®): A registered report DOI Creative Commons
Niamh MacSweeney, Judith Allardyce, Amelia J. Edmondson-Stait

et al.

Developmental Cognitive Neuroscience, Journal Year: 2023, Volume and Issue: 60, P. 101223 - 101223

Published: Feb. 25, 2023

Earlier pubertal timing is associated with higher rates of depressive disorders in adolescence. Neuroimaging studies report brain structural associations both and depression. However, whether structure mediates the relationship between depression remains unclear. The current registered examined (indexed via perceived development), (cortical subcortical metrics, white matter microstructure) symptoms a large sample (N = ∼5000) adolescents (aged 9–13 years) from Adolescent Brain Cognitive Development (ABCD) Study. We used three waves follow-up data when youth were aged 10–11 years, 11–12 12–13 respectively. generalised linear-mixed models (H1) equation modelling (H2 & H3) to test our hypotheses. hypothesised that earlier at Year 1 would be increased 3 (H1), this mediated by global (H2a-b) regional (H3a-g) measures 2. Global included reduced cortical volume, thickness, surface area sulcal depth. Regional thickness volume temporal fronto-parietal areas, ventral diencephalon, depth pars orbitalis, fractional anisotropy cortico-striatal tract corpus callosum. These regions interest informed pilot analyses using baseline ABCD 9–10 years. was two years later. magnitude effect stronger female association remained significant controlling for parental depression, family income, BMI females but not male youth. Our did however mediate later symptoms. present results demonstrate youth, particularly females, who begin puberty ahead their peers are an risk adolescent-onset Future work should explore additional biological socio-environmental factors may affect so we can identify targets intervention help these at-risk

Language: Английский

Citations

14

Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes DOI Creative Commons
Omid Kardan, Natasha N. Jones, Muriah D. Wheelock

et al.

Developmental Cognitive Neuroscience, Journal Year: 2025, Volume and Issue: 73, P. 101543 - 101543

Published: March 6, 2025

Adolescence is a period of growth in cognitive performance and functioning. Recently, data-driven measures brain-age gap, which can index decline older populations, have been utilized adolescent data with mixed findings. Instead using approach, here we assess the maturation status brain functional landscape early adolescence by directly comparing an individual's resting-state connectivity (rsFC) to canonical early-life adulthood communities. Specifically, hypothesized that degree youth's connectome better captured adult networks compared infant/toddler predictive their development. To test this hypothesis across individuals longitudinally, Adolescent Brain Cognitive Development (ABCD) Study at baseline (9-10 years; n = 6469) 2-year-follow-up (Y2: 11-12 5060). Adjusted for demographic factors, our anchored rsFC score (AFC) was associated task both within participants. AFC related age aging youth, change statistically mediated age-related performance. In conclusion, showed model-fitting-free rest baby landscapes predicts development youth.

Language: Английский

Citations

0

Adverse childhood experiences and multisite pain among adolescents in the United States DOI Creative Commons
Tristin Smith, Dorna Kheirabadi,

Yijun Guo

et al.

PAIN Reports, Journal Year: 2025, Volume and Issue: 10(3), P. e1279 - e1279

Published: April 28, 2025

Childhood adversity can have a lasting negative impact throughout one's life. Youth with pain conditions consistently report higher rate of adverse childhood experiences (ACEs) when compared their healthy peers. Adolescents experiencing in more than 1 region tend to greater symptom burden and reduced quality Research on the association between ACEs multisite adolescents is sparse. The objective our study was investigate cumulative self-report early adolescence using data from Adolescent Brain Cognitive Development study. We used 19-region body map evaluate presence regional (1-2 regions) (≥3 regions). analyzed multinominal logistic regression, adjusting for sociodemographic factors including pubertal status, sex, race/ethnicity, income-to-needs ratio. included total 7582 children aged 12 13 years, 33.4%, 24.0%, 13.2%, 8.6% reporting 1, 2, 3, 4+ ACEs, respectively. Moreover, 30.7%, 24.2%, 15.2%, 10.1% reported Those (adjusted odds ratio 1.62, 95% confidence interval 1.24-2.12) 3 1.44, 1.14-1.82) were likely no ACEs. showed potential dose-response relationship pain, suggesting that particularly may emerge earlier previously documented. Keywords: Adverse experiences, Multisite pain.

Language: Английский

Citations

0

Brain Age Gap in Early Illness Schizophrenia and the Clinical High-Risk Syndrome: Associations With Experiential Negative Symptoms and Conversion to Psychosis DOI Creative Commons
Jessica P.Y. Hua, Samantha V. Abram,

Rachel Loewy

et al.

Schizophrenia Bulletin, Journal Year: 2024, Volume and Issue: 50(5), P. 1159 - 1170

Published: May 30, 2024

Abstract Background and Hypothesis Brain development/aging is not uniform across individuals, spawning efforts to characterize brain age from a biological perspective model the effects of disease maladaptive life processes on brain. The gap represents discrepancy between estimated chronological (in this case, based structural magnetic resonance imaging, MRI). Structural MRI studies report an increased (biological > age) in schizophrenia, with greater related negative symptom severity. Less known regarding nature early schizophrenia (ESZ), if psychosis conversion biomarker clinical high-risk (CHR-P) how altered development and/or aging map onto specific facets. Study Design Using MRI, we compared among CHR-P (n = 51), ESZ 78), unaffected comparison participants (UCP; n 90), examined associations (CHR-P converters 10; non-converters; 23) positive symptoms. Results showed relative UCP (Ps < .010). individuals who converted (P .043) non-converters. A larger was associated experiential .008), but expressive Conclusions Consistent pathophysiological models positing abnormal maturation, results suggest present psychosis. An may be especially relevant motivational functional deficits schizophrenia.

Language: Английский

Citations

3

The connecting brain in context: How adolescent plasticity supports experiential learning and development DOI Creative Commons
Amanda E. Baker, Adriana Gálvan, Andrew J. Fuligni

et al.

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 71, P. 101486 - 101486

Published: Nov. 28, 2024

Language: Английский

Citations

3

Functional brain network dynamics mediate the relationship between female reproductive aging and interpersonal adversity DOI Creative Commons
Raluca Petrican, Sidhant Chopra, Ashlea Segal

et al.

Nature Mental Health, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Abstract Premature reproductive aging is linked to heightened stress sensitivity and psychological maladjustment across the life course. However, brain dynamics underlying this relationship are poorly understood. Here, address issue, we analyzed multimodal data from female participants in Adolescent Brain Cognitive Development (longitudinal, N = 441; aged 9–12 years) Human Connectome-Aging (cross-sectional, 130; 36–60 studies. Age-specific intrinsic functional network mediated link between perceptions of greater interpersonal adversity. The adolescent profile overlapped areas glutamatergic dopaminergic receptor density, middle-aged was concentrated visual, attentional default mode networks. two profiles showed opposite relationships with patterns neural variability cortical atrophy observed psychosis versus major depressive disorder. Our findings underscore divergent maturation senescence, which may explain developmentally specific vulnerabilities distinct disorders.

Language: Английский

Citations

0

The role of pubertal development in the association between trauma and internalising symptoms in female youth DOI Creative Commons
Niamh MacSweeney, Phoebe Thomson,

Tilmann von Soest

et al.

Journal of Child Psychology and Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Background Exposure to trauma in childhood is associated with an increased risk for internalising symptoms. Alterations pubertal development has been proposed as a potential mechanism underpinning this association. However, longitudinal studies, which are needed examine over time, scarce. The goal of pre‐registered study was how exposure shapes the timing and tempo development, turn contributes symptoms female youth. Methods Using largest sample date, we characterised profiles across four time points youth from Adolescent Brain Cognitive Development (ABCD) Study ( N = 4,225, age range 9–14 years) using latent profile analysis. Pubertal assessed Scale (at points). Trauma quantified post‐traumatic stress disorder subscale parent‐report Kiddie Schedule Affective Disorders Schizophrenia DSM‐5 baseline), were self‐report Brief Problem Monitor 3‐year follow‐up). Results could be grouped into three classes: early starters (9% sample), typical developers (76%) slow (15%). demonstrated higher levels compared developers, while showed least trauma. Youth greater at ages 12–14 years, association mediated by status 9–10 but not faster tempo. Conclusions Accelerated earlier onset transition late adolescence, may through increases

Language: Английский

Citations

0