Association of lead-exposure risk and family income with childhood brain outcomes DOI
Andrew T. Marshall, Samantha Betts, Eric Kan

et al.

Nature Medicine, Journal Year: 2020, Volume and Issue: 26(1), P. 91 - 97

Published: Jan. 1, 2020

Language: Английский

Delineating and validating higher-order dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) study DOI Creative Commons
Giorgia Michelini, Deanna M. Barch, Yuan Tian

et al.

Translational Psychiatry, Journal Year: 2019, Volume and Issue: 9(1)

Published: Oct. 17, 2019

Hierarchical dimensional systems of psychopathology promise more informative descriptions for understanding risk and predicting outcome than traditional diagnostic systems, but it is unclear how many major dimensions they should include. We delineated the hierarchy childhood adult validated against clinically relevant measures. Participants were 9987 9- 10-year-old children their parents from Adolescent Brain Cognitive Development (ABCD) study. Factor analyses items Child Behavior Checklist Adult Self-Report run to delineate hierarchies dimensions. examined familial aggregation dimensions, ability different factor solutions account factors, real-world functioning, cognitive physical mental health service utilization. A hierarchical structure with a general ('p') at apex five specific factors (internalizing, somatoform, detachment, neurodevelopmental, externalizing) emerged in children. Five similar also parents. parent p-factors correlated highly (r = 0.61, p < 0.001), smaller significant correlations convergent between after controlling 0.09-0.21, 0.001). model child p-factor alone explained utilization (R2 0.23, up provided incremental validity developmental current functioning 0.03-0.19, In this first investigation comprehensively mapping adults, we higher-order associated range validators. These findings hold important implications psychiatric nosology future research sample.

Language: Английский

Citations

157

Sleep duration, brain structure, and psychiatric and cognitive problems in children DOI
Wei Cheng, Edmund T. Rolls, Weikang Gong

et al.

Molecular Psychiatry, Journal Year: 2020, Volume and Issue: 26(8), P. 3992 - 4003

Published: Feb. 3, 2020

Language: Английский

Citations

154

Risk and protective factors for childhood suicidality: a US population-based study DOI
Delfina Janiri, Gaëlle E. Doucet, Maurizio Pompili

et al.

The Lancet Psychiatry, Journal Year: 2020, Volume and Issue: 7(4), P. 317 - 326

Published: March 12, 2020

Language: Английский

Citations

152

Childhood Obesity, Cortical Structure, and Executive Function in Healthy Children DOI Creative Commons
Lisa Ronan, Aaron Alexander‐Bloch, Paul C. Fletcher

et al.

Cerebral Cortex, Journal Year: 2019, Volume and Issue: 30(4), P. 2519 - 2528

Published: Oct. 3, 2019

Abstract The development of executive function is linked to maturation prefrontal cortex (PFC) in childhood. Childhood obesity has been associated with changes brain structure, particularly PFC, as well deficits functions. We aimed determine whether differences cortical structure mediate the relationship between and childhood obesity. analyzed MR-derived measures thickness for 2700 children ages 9 11 years, recruited part NIH Adolescent Brain Cognitive Development (ABCD) study. related our findings body mass index (BMI). In analysis, increased BMI was significantly reduced mean thickness, specific bilateral regions. This remained after accounting age, sex, race, parental education, household income, birth-weight, in-scanner motion. Increased also lower function. Reduced rostral medial superior frontal cortex, inferior gyrus, lateral orbitofrontal partially accounted reductions These results suggest that compromised may be partly explained by BMI-associated PFC.

Language: Английский

Citations

149

Associations Between Neighborhood Disadvantage, Resting-State Functional Connectivity, and Behavior in the Adolescent Brain Cognitive Development Study: The Moderating Role of Positive Family and School Environments DOI
Divyangana Rakesh, Caio Seguin, Andrew Zalesky

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2021, Volume and Issue: 6(9), P. 877 - 886

Published: March 23, 2021

Language: Английский

Citations

139

Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity DOI Creative Commons
Jingwei Li, Danilo Bzdok, Jianzhong Chen

et al.

Science Advances, Journal Year: 2022, Volume and Issue: 8(11)

Published: March 16, 2022

Algorithmic biases that favor majority populations pose a key challenge to the application of machine learning for precision medicine. Here, we assessed such bias in prediction models behavioral phenotypes from brain functional magnetic resonance imaging. We examined using two independent datasets (preadolescent versus adult) mixed ethnic/racial composition. When predictive were trained on data dominated by white Americans (WA), out-of-sample errors generally higher African (AA) than WA. This toward WA corresponds more WA-like brain-behavior association patterns learned models. AA only, compared training only or an equal number and participants, accuracy improved but stayed below Overall, results point need caution further research regarding current minority populations.

Language: Английский

Citations

112

Is executive dysfunction a risk marker or consequence of psychopathology? A test of executive function as a prospective predictor and outcome of general psychopathology in the adolescent brain cognitive development study® DOI Creative Commons
Adrienne L. Romer, Diego A. Pizzagalli

Developmental Cognitive Neuroscience, Journal Year: 2021, Volume and Issue: 51, P. 100994 - 100994

Published: July 22, 2021

A general psychopathology ('p') factor captures shared variation across mental disorders. One hypothesis is that poor executive function (EF) contributes to p. Although EF related p concurrently, it unclear whether predicts or a consequence of For the first time, we examined prospective relations between and in 9845 preadolescents (aged 9–12) from Adolescent Brain Cognitive Development Study® longitudinally over two years. We identified higher-order models at baseline one- two-year follow-up waves. Consistent with previous research, cross-sectional inverse relationship emerged. Using residualized-change models, prospectively predicted scores years later, controlling for prior p, sex, age, race/ethnicity, parental education, family income. Baseline also change later. Tests specificity revealed bi-directional were largely generalizable externalizing, internalizing, neurodevelopmental, somatization, detachment symptoms. consistently externalizing neurodevelopmental These novel results suggest dysfunction both risk marker psychopathology. may be promising transdiagnostic intervention target prevent onset maintenance

Language: Английский

Citations

106

A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets DOI Creative Commons
Natalie M. Saragosa‐Harris, Natasha Chaku, Niamh MacSweeney

et al.

Developmental Cognitive Neuroscience, Journal Year: 2022, Volume and Issue: 55, P. 101115 - 101115

Published: May 20, 2022

As the largest longitudinal study of adolescent brain development and behavior to date, Adolescent Brain Cognitive Development (ABCD) Study® has provided immense opportunities for researchers across disciplines since its first data release in 2018. The size scope also present a number hurdles, which range from becoming familiar with design structure employing rigorous reproducible analyses. current paper is intended as guide reviewers working ABCD data, highlighting features (and strengths limitations therein) well relevant analytical methodological considerations. Additionally, we explore justice, equity, diversity, inclusion efforts they pertain Study other large-scale datasets. In doing so, hope increase both accessibility transparency within field developmental cognitive neuroscience.

Language: Английский

Citations

99

Socioeconomic status, BMI, and brain development in children DOI Creative Commons
Evan Dennis, Peter Manza, Nora D. Volkow

et al.

Translational Psychiatry, Journal Year: 2022, Volume and Issue: 12(1)

Published: Jan. 24, 2022

Low socioeconomic status (SES) in childhood is associated with deficits executive function and changes cortical morphology. Furthermore, rates of obesity are greater among low SES children also alterations impaired neurocognition, specifically the domain function. To investigate influence BMI on relationships between both neurocognition brain morphology, we used data from Adolescent Brain Cognitive Development (ABCD) study to construct multiple linear regression models conduct mediation analyses. Overall, as measured by household income, highest level parental education, area deprivation, was lower BMI, total prefrontal volume, better performance assessments Mediation analysis indicated that had a significant indirect effect associations deprivation volumes. played mediating role composite neurocognitive scores, which were driven tasks working memory cognitive flexibility, but not control. These findings suggest should be considered future studies investigating relationship poor neurodevelopmental outcomes.

Language: Английский

Citations

80

Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity DOI Creative Commons
Weiqi Zhao, Carolina Makowski, Donald J. Hagler

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 270, P. 119946 - 119946

Published: Feb. 17, 2023

Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional connectivity (FC) patterns is a critical step to furthering our knowledge of neural basis behavior. Previous studies suggested that FC derived from task paradigms, which we refer as task-based FC, are better correlated with individual differences in behavior than resting-state but consistency and generalizability this advantage across conditions was not fully explored. Using data three tasks Adolescent Brain Cognitive Development Study ® (ABCD), tested whether observed improvement behavioral prediction power can be attributed changes brain activity induced by design. We decomposed time course each into model fit (the fitted condition regressors single-subject general linear model) residuals, calculated their respective compared performance these estimates original FC. The residual at predicting measure cognitive ability or two measures on tasks. superior content-specific insofar it only probed similar constructs predicted interest. To surprise, parameters, beta regressors, were equally if more predictive all measures. These results showed afforded largely driven associated Together previous studies, findings highlighted importance design eliciting meaningful activation patterns.

Language: Английский

Citations

79