Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

NeuroImage, Journal Year: 2019, Volume and Issue: 202, P. 116091 - 116091

Published: Aug. 12, 2019

Language: Английский

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Effect of alcohol use on the adolescent brain and behavior

Pharmacology Biochemistry and Behavior, Journal Year: 2020, Volume and Issue: 192, P. 172906 - 172906

Published: March 13, 2020

Language: Английский

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The ABCD study: understanding the development of risk for mental and physical health outcomes

Neuropsychopharmacology, Journal Year: 2020, Volume and Issue: 46(1), P. 131 - 142

Published: June 15, 2020

Language: Английский

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Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

NeuroImage, Journal Year: 2018, Volume and Issue: 185, P. 140 - 153

Published: Oct. 16, 2018

Language: Английский

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Associations between 24 hour movement behaviours and global cognition in US children: a cross-sectional observational study

The Lancet Child & Adolescent Health, Journal Year: 2018, Volume and Issue: 2(11), P. 783 - 791

Published: Sept. 27, 2018

Language: Английский

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The structure of cognition in 9 and 10 year-old children and associations with problem behaviors: Findings from the ABCD study’s baseline neurocognitive battery

Developmental Cognitive Neuroscience, Journal Year: 2018, Volume and Issue: 36, P. 100606 - 100606

Published: Dec. 13, 2018

The Adolescent Brain Cognitive Development (ABCD) study is poised to be the largest single-cohort long-term longitudinal of neurodevelopment and child health in United States. Baseline data on N= 4521 children aged 9–10 were released for public access November 2, 2018. In this paper we performed principal component analyses neurocognitive assessments administered baseline sample. battery included seven measures from NIH Toolbox as well five other tasks. We implemented a Bayesian Probabilistic Principal Components Analysis (BPPCA) model that incorporated nesting subjects within families collection sites. extracted varimax-rotated scores three-component associated these with parent-rated Child Behavior Checklist (CBCL) internalizing, externalizing, stress reactivity. found evidence three broad components encompass general cognitive ability, executive function, learning/memory. These significantly CBCL differential manner but small effect sizes. findings set stage analysis psychopathological ABCD cohort they age into period maximal adolescent risk-taking.

Language: Английский

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Meaningful associations in the adolescent brain cognitive development study

NeuroImage, Journal Year: 2021, Volume and Issue: 239, P. 118262 - 118262

Published: June 17, 2021

The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in United States. A cohort n = 11,880 children aged 9–10 years (and their parents/guardians) were recruited across 22 sites are being followed with in-person visits on an annual basis for at least 10 years. approximates US population several key sociodemographic variables, including sex, race, ethnicity, household income, parental education. Data collected include assessments health, mental substance use, culture environment neurocognition, as well geocoded exposures, structural functional magnetic resonance imaging (MRI), whole-genome genotyping. Here, we describe ABCD aims design, issues surrounding estimation meaningful associations using its data, inferences, hypothesis testing, power precision, control covariates, interpretation associations, recommended best practices reproducible research, analytical procedures reporting results.

Language: Английский

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Screen time and problem behaviors in children: exploring the mediating role of sleep duration

International Journal of Behavioral Nutrition and Physical Activity, Journal Year: 2019, Volume and Issue: 16(1)

Published: Nov. 14, 2019

Abstract Background Previous research examining the relationship between screen time (ST) and psychological health outcomes have primarily focused on one type of ST (i.e., television), while little has considered other types screens (e.g., videos, movies, social media), content violent video games), or potential mediating variables. Therefore, purpose present study was to assess their association with problem behaviors, determine whether these relationships were mediated by sleep duration. Methods Parents children provided cross-sectional baseline data (2016–18) as part Adolescent Brain Cognitive Development study, a broadly US representative sample 11,875 aged 9 10 years. self-reported children’s emotional behavioral syndromes via Child Behavior Checklist duration using item from Parent Sleep Disturbance Scale. Children behavior, which comprised (television/movies, games, media) (mature-rated games R-rated movies). Results Time spent in various positively associated behaviors: watching television/movies 5.9% increase rule-breaking behavior (incidence rate ratio [IRR] = 1.059), 5% problems (IRR 1.050), 4% aggressive 1.040), 3.7% thought 1.037). Greater playing mature-rated greater somatic complaints 1.041), 1.039), reduced .938). (type content) albeit effect sizes small. The largest effects observed all predicting an 8.8–16.6% decrease behaviors (IRRs ranging .834 .905). Conclusion among children. There strong evidence that longer behaviors. While variables need be investigated future research.

Language: Английский

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Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children

JAMA Network Open, Journal Year: 2020, Volume and Issue: 3(11), P. e2023774 - e2023774

Published: Nov. 3, 2020

Importance

The association between poverty and unfavorable cognitive outcomes is robust, but most research has focused on individual household socioeconomic status (SES). There increasing evidence that neighborhood context explains unique variance not accounted for by SES.

Objective

To evaluate whether (NP) associated with function prefrontal hippocampal brain structure in ways are dissociable from

Design, Setting, Participants

This cross-sectional study used a baseline sample of the ongoing longitudinal Adolescent Brain Cognitive Development (ABCD) Study. ABCD Study will follow participants assessments each year 10 years. Data were collected at 21 US sites, mostly within urban suburban areas, September 2019 October 2018. School-based recruitment was to create participant reflecting population. analysis conducted March June 2019.

Main Outcomes Measures

NP SES included as factors potentially National Institutes Health Toolbox Battery subtests (dorsolateral cortex [DLPFC], dorsomedial PFC [DMPFC], superior frontal gyrus [SFG]) volumes. Independent variables first considered individually then together mixed-effects models age, sex, intracranial volume covariates. Structural equation modeling (SEM) assess shared task associations. tested hypotheses formulated after data collection.

Results

A total 11 875 children aged 9 years (5678 [47.8%] girls) analyzed. Greater lower scores across all domains (eg, composite: β = −0.18; 95% CI, −0.21 −0.15;P < .001) decreased DLPFC right DLPFC: −0.09; −0.12 −0.07;P .001), DMPFC DMPC: −0.07; −0.09 −0.05;P SFG SFG: −0.05; −0.08 −0.03;P hippocampus (β −0.04; −0.06 −0.01;P .01), even when accounting income. income higher 0.30; 0.28 0.33;P larger regions hippocampus: 0.04; 0.02 0.07;P NP. SEM model good fit domains, being relations language (picture vocabulary: estimate [SE], –0.03 [0.01];P .001; oral reading: –0.02 episodic memory sequence: .008), working (dimensional card sort: flanker inhibitory control: –0.01 .01; list sorting: associations [0.004];P 0.001).

Conclusions Relevance

In this study, volume. These findings demonstrate importance including broader environmental influences conceptualizing early life adversity.

Language: Английский

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Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: April 25, 2022

Abstract How individual differences in brain network organization track behavioral variability is a fundamental question systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the level. However, most studies focus on single traits, thus not capturing broader relationships across behaviors. In large sample of 1858 typically developing children from Adolescent Brain Cognitive Development (ABCD) study, we show predictive features are distinct domains cognitive performance, personality scores mental health assessments. On other hand, within each domain predicted by similar features. Predictive models generalize to measures same domain. Although tasks known modulate connectome, between resting task states. Overall, our findings reveal shared account for variation broad behavior childhood.

Language: Английский

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