Functional brain connectivity predictors of prospective substance use initiation and their environmental correlates DOI Creative Commons
Omid Kardan, Alexander Weigard,

Lora M. Cope

et al.

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

Published: May 31, 2024

Early substance use initiation (SUI) places youth at substantially higher risk for later disorders. Furthermore, adolescence is a critical period the maturation of brain networks, pace and magnitude which are susceptible to environmental influences may shape SUI.

Language: Английский

Socioeconomic resources in youth are linked to divergent patterns of network integration/segregation across the brain’s transmodal axis DOI Creative Commons
Cleanthis Michael, Aman Taxali, Mike Angstadt

et al.

PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(9)

Published: Sept. 1, 2024

Abstract Socioeconomic resources (SER) calibrate the developing brain to current context, which can confer or attenuate risk for psychopathology across lifespan. Recent multivariate work indicates that SER levels powerfully relate intrinsic functional connectivity patterns entire brain. Nevertheless, neuroscientific meaning of these widespread neural differences remains poorly understood, despite its translational promise early identification, targeted intervention, and policy reform. In present study, we leverage graph theory precisely characterize univariate associations between household neighborhood contexts architecture regions in 5,821 youth (9–10 years) from Adolescent Brain Cognitive Development Study. First, establish decomposing into profiles integration segregation captures more than half association with greater parsimony (100-fold reduction number features) interpretability. Second, show topological effects are not uniform brain; rather, higher associated somatomotor subcortical systems, but default mode, orbitofrontal, cerebellar systems. Finally, demonstrate spatially patterned along unimodal–transmodal gradient organization. These findings provide critical interpretive context established This study highlights both higher-order networks differentially implicated environmental stress, disadvantage, opportunity youth.

Language: Английский

Citations

6

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

Functional brain connectivity predictors of prospective substance use initiation and their environmental correlates DOI Creative Commons
Omid Kardan, Alexander Weigard,

Lora M. Cope

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: 10(2), P. 203 - 212

Published: Oct. 25, 2024

Language: Английский

Citations

1

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.

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

Published: Sept. 26, 2024

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 = 6,489) 2-year-follow-up (Y2: 11-12 5,089). 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

Developmental Timing of Associations Among Parenting, Brain Architecture, and Mental Health DOI
Cleanthis Michael, Arianna M. Gard, Scott Tillem

et al.

JAMA Pediatrics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Importance Parenting is associated with brain development and long-term health outcomes, although whether these associations depend on the developmental timing of exposure remains understudied. Identifying sensitive periods can inform when how parenting neurodevelopment risk for mental illness. Objective To characterize harsh warm during early, middle, late childhood are architecture adolescence and, in turn, psychiatric symptoms early adulthood COVID-19 pandemic. Design, Setting, Participants This population-based, 21-year observational, longitudinal birth cohort study low-income youths families from Detroit, Michigan; Toledo, Ohio; Chicago, Illinois, used data Future Families Child Well-being Study. Data were collected February 1998 to June 2021. Analyses conducted May October 2023. Exposures Parent-reported (psychological aggression or physical aggression) observer-rated (responsiveness) at ages 3, 5, 9 years. Main Outcomes Measures The primary outcomes brainwide (segregation, integration, small-worldness), circuit (prefrontal cortex [PFC]–amygdala connectivity), regional (betweenness centrality amygdala PFC) age 15 years, determined using functional magnetic resonance imaging, youth-reported anxiety depression 21 structured life-course modeling approach was disentangle timing-dependent cumulative between architecture. Results A total 173 (mean [SD] age, 15.88 [0.53] years; 95 female [55%]) included. Parental psychological positively segregation (β = 0.30; 95% CI, 0.14 0.45) small-worldness 0.17; 0.03 0.28), whereas parental negatively PFC-amygdala connectivity −0.37; −0.55 −0.12). Warm middle 0.23; 0.06 0.38) PFC −0.18; −0.31 −0.03). Warmer reduced −0.05; CI −0.10 −0.01) −0.003) via greater adolescent centrality. Conclusions Relevance Neural widespread across but localized childhood. future stress. These developmentally contingent type interventions.

Language: Английский

Citations

0

Integrating multi-system environmental factors to predict brain and behavior in adolescents DOI Creative Commons
Jivesh Ramduny, Samuel Paskewitz, Inti A. Brazil

et al.

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

Published: Dec. 17, 2024

Abstract Objective Environmental factors have long been shown to influence brain structure and adolescent psychopathology. However, almost no research has included environmental spanning micro-to-macro-systems, structure, psychopathology in an integrated framework. Here, we assessed the ways degree which multi-system during late childhood predict subcortical volume early adolescence. Method We used baseline 2-year follow-up data from Adolescent Brain Cognitive Development SM Study ( N = 2,766). A Bayesian latent profile analysis was applied obtain distinct profiles childhood. The were a path their direct indirect effects on Results revealed nine profiles. Two predicted greater externalizing problems adolescents: (i) adversity across, family, school, neighborhood systems (ii) family conflict low school involvement. In contrast, of affluence fewer difficulties. Further, higher volume, turn, problems; whereas, economic lower Conclusion captured influences across multiple Specifying equifinal pathways serves provide evidence base for establishing different types interventions based needs risk youth. Diversity Inclusion Statement current study is part ongoing (ABCD Study®) youth are recruited elementary schools United States that informed by gender, race, ethnicity, socioeconomic status, urbanicity. ABCD Study® aims recruit longitudinally sampling sociodemographic makeup US population. authors self-identifies as member one or more historically underrepresented racial and/or ethnic groups science. One identifies gender group also representative communities collected contributed design, analysis, interpretation work. Finally, every effort made cite work minoritized academic research.

Language: Английский

Citations

0

Integrating data science and neuroscience in developmental psychopathology: Formative examples and future directions DOI Creative Commons
Jamie L. Hanson, Isabella Kahhalé,

Sriparna Sen

et al.

Development and Psychopathology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 8

Published: May 21, 2024

Abstract This commentary discusses opportunities for advancing the field of developmental psychopathology through integration data science and neuroscience approaches. We first review elements our research program investigating how early life adversity shapes neurodevelopment may convey risk psychopathology. then illustrate three ways that techniques (e.g., machine learning) can support research, such as by distinguishing between common diverse outcomes after stress exposure. Finally, we discuss logistical conceptual refinements aid moving forward. Throughout piece, underscore profound impact Dr Dante Cicchetti, reflecting on his work influenced own, gave rise to

Language: Английский

Citations

0

Functional brain connectivity predictors of prospective substance use initiation and their environmental correlates DOI Creative Commons
Omid Kardan, Alexander Weigard,

Lora M. Cope

et al.

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

Published: May 31, 2024

Early substance use initiation (SUI) places youth at substantially higher risk for later disorders. Furthermore, adolescence is a critical period the maturation of brain networks, pace and magnitude which are susceptible to environmental influences may shape SUI.

Language: Английский

Citations

0