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

Thompson, Wesley K.; Barch, Deanna M.; Bjork, James M.; Gonzalez, Raul; Nagel, Bonnie J.; Nixon, Sara Jo; Luciana, Monica

doi:10.1016/j.dcn.2018.12.004

Cited by 227Neural and Behavioral Psychology StudiesCognitive Abilities and TestingChild and Adolescent Psychosocial and Emotional Development

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

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Thompson, Wesley K., Barch, Deanna M., Bjork, James M., Gonzalez, Raul, Nagel, Bonnie J., Nixon, Sara Jo, Luciana, Monica·2019·Developmental Cognitive Neuroscience

DOI 10.1016/j.dcn.2018.12.004PMC PMC6676481

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Abstract

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

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The study recruited children from schools throughout the United States based on stratified probability to match the demographic and socioeconomic diversity of the United States.
“The study recruited children from schools throughout the United States based on stratified probability38 to match the demographic and socioeconomic diversity of the United States.39”
From Association of Demographic and Socioeconomic Indicators With the Use of Wearable Devices Among Children (2023) · cites this paper as [39]

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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
Rakesh, D., Seguin, C., Zalesky, A., Cropley, V., & Whittle, S. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.03.008 · Cited by 159 · see citing works
Prediction of neurocognition in youth from resting state fMRI
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Ensuring the Best Use of Data
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Associations of family income with cognition and brain structure in USA children: prevention implications
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Adolescent Brain Cognitive Development (ABCD) Community MRI Collection and UtilitiesPreprint
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Behavioral and Neural Signatures of Working Memory in Childhood
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Development of white matter microstructure and executive functions during childhood and adolescence: a review of diffusion MRI studies
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Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes
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A precision functional atlas of personalized network topography and probabilities
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Personalized functional brain network topography is associated with individual differences in youth cognition
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ADHD: Restricted Phenotypes Prevalence, Comorbidity, and Polygenic Risk Sensitivity in ABCD Baseline CohortPreprint
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Limits to the generalizability of resting-state functional magnetic resonance imaging studies of youth: An examination of ABCD Study® baseline data
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Age-related changes and longitudinal stability of individual differences in ABCD Neurocognition measures
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Association of Demographic and Socioeconomic Indicators With the Use of Wearable Devices Among Children
Kim, E. H., Jenness, J. L., Miller, A. B., Halabi, R., de Zambotti, M., Bagot, K. S., Baker, F. C., & Pratap, A. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.5681 · Cited by 53 · see citing works
Associations between frontal lobe structure, parent-reported obstructive sleep disordered breathing and childhood behavior in the ABCD dataset
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The Emotional Word-Emotional Face Stroop task in the ABCD study: Psychometric validation and associations with measures of cognition and psychopathology
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Explainable machine learning approach to predict and explain the relationship between task-based fMRI and individual differences in cognition
Pat, N., Wang, Y., Bartonicek, A., Candia, J., & Stringaris, A. K. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac235 · Cited by 47 · see citing works
Associations between handedness and brain functional connectivity patterns in children
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Compulsivity is linked to reduced adolescent development of goal-directed control and frontostriatal functional connectivity
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Disentangling vulnerability, state and trait features of neurocognitive impairments in depression
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Characterizing the dimensional structure of early-life adversity in the Adolescent Brain Cognitive Development (ABCD) Study
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Modern Assessments of Intelligence Must Be Fair and Equitable
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Longitudinally stable, brain‐based predictive models mediate the relationships between childhood cognition and socio‐demographic, psychological and genetic factors
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Associations of bullying perpetration and peer victimization subtypes with preadolescent’s suicidality, non-suicidal self-injury, neurocognition, and brain development
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Breastfeeding Duration Is Associated With Domain-Specific Improvements in Cognitive Performance in 9–10-Year-Old Children
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Peer victimization (bullying) on mental health, behavioral problems, cognition, and academic performance in preadolescent children in the ABCD Study
Menken, M. S., Isaiah, A., Liang, H., Rivera, P. R., Cloak, C. C., Reeves, G. M., Lever, N. A., & Chang, L. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.925727 · Cited by 37 · see citing works
Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®
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Prenatal caffeine exposure: association with neurodevelopmental outcomes in 9‐ to 11‐year‐old children
Zhang, R., Manza, P., & Volkow, N. D. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13495 · Cited by 33 · see citing works
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain
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Ambient fine particulate exposure and subcortical gray matter microarchitecture in 9- and 10-year-old children across the United States
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A general exposome factor explains individual differences in functional brain network topography and cognition in youth
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Motivation and Cognitive Abilities as Mediators Between Polygenic Scores and Psychopathology in Children
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Prevalence and correlates of concussion in children: Data from the Adolescent Brain Cognitive Development study
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The relationship between smartphone addiction and aggression among Lebanese adolescents: the indirect effect of cognitive function
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Parental Arrest and Child Behavior: Differential Role of Executive Functioning among Racial Subgroups
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Associations between Fine Particulate Matter Components, Their Sources, and Cognitive Outcomes in Children Ages 9–10 Years Old from the United States
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Executive function deficits mediate the association between very preterm birth and behavioral problems at school-age
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Convergence and Divergence of Rare Genetic Disorders on Brain Phenotypes
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Predicting multilingual effects on executive function and individual connectomes in children: An ABCD study
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Collecting big data with small screens: Group tests of children’s cognition with touchscreen tablets are reliable and valid
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Effects of the physical and social environment on youth cognitive performance
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Concurrent and prospective associations between fitbit wearable‐derived RDoC arousal and regulatory constructs and adolescent internalizing symptoms
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Understanding patterns of heterogeneity in executive functioning during adolescence: Evidence from population‐level data
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The effects of university students’ fragmented reading on cognitive development in the new media age: evidence from Chinese higher education
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Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample
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Caffeine exposure in utero is associated with structural brain alterations and deleterious neurocognitive outcomes in 9–10 year old children
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Parental Educational Attainment, the Superior Temporal Cortical Surface Area, and Reading Ability among American Children: A Test of Marginalization-Related Diminished Returns
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Polyneuro risk scores capture widely distributed connectivity patterns of cognition
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Direct and Indirect Associations of Widespread Individual Differences in Brain White Matter Microstructure With Executive Functioning and General and Specific Dimensions of Psychopathology in Children
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Effects of family income on brain functional connectivity in US children: associations with cognition
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Transdiagnostic neurocognitive dysfunction in children and adolescents with mental illness
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BrainAGE as a measure of maturation during early adolescence
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Impact and centrality of attention dysregulation on cognition, anxiety, and low mood in adolescents
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Contributions from resting state functional connectivity and familial risk to early adolescent-onset MDD: Results from the Adolescent Brain Cognitive Development study
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Intelligence Polygenic Score Is More Predictive of Crystallized Measures: Evidence From the Adolescent Brain Cognitive Development (ABCD) Study
Loughnan, R. J., Palmer, C. E., Thompson, W. K., Dale, A. M., Jernigan, T. L., & Fan, C. C. (2023) · Psychological Science · doi:10.1177/09567976231160702 · Cited by 32 · see citing works
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Physical and mental health in adolescence: novel insights from a transdiagnostic examination of FitBit data in the ABCD study
Damme, K. S. F., Vargas, T., Walther, S., Shankman, S. A., & Mittal, V. A. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02794-2 · Cited by 19 · see citing works
Identification and Validation of Distinct Latent Neurodevelopmental Profiles in the Adolescent Brain and Cognitive Development Study
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Parietal alpha underlies slower cognitive responses during interference processing in adolescents
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Prediction of Neurocognitive Profiles in Youth From Resting State fMRIPreprint
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Sport Practice, Fluid Reasoning, and Soft Skills in 10- to 18-Year-Olds
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Longitudinal alterations in brain morphometry mediated the effects of bullying victimization on cognitive development in preadolescents.
Menken, M. S., Rivera, P. J. R., Isaiah, A., Ernst, T., Cloak, C. C., & Chang, L. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101247 · Cited by 15 · see citing works
Computational Modeling of the n-Back Task in the ABCD Study: Associations of Drift Diffusion Model Parameters to Polygenic Scores of Mental Disorders and Cardiometabolic Diseases
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Gene-experience correlation during cognitive development: Evidence from the Adolescent Brain Cognitive Development (ABCD) StudySMPreprint
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Adolescent-specific memory effects: evidence from working memory, immediate and long-term recognition memory performance in 8–30 yr olds
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Can we diagnose mental disorders in children? A large‐scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study
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Cross-Sectional and Longitudinal Relations Among Irritability, Attention-Deficit/Hyperactivity Disorder Symptoms, and Inhibitory Control
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Longitudinal analysis of the ABCD® study
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Psychiatric Symptoms, Cognition, and Symptom Severity in Children
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Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach
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The Structure of Cognitive Abilities and Associations with Problem Behaviors in Early Adolescence: An Analysis of Baseline Data from the Adolescent Brain Cognitive Development Study
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Working Memory-Related Neurofunctional Correlates Associated with the Frontal Lobe in Children with Familial vs. Non-Familial Attention Deficit/Hyperactivity Disorder
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Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children
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Childhood obesity’s effect on cognition and brain connectivity worsens with low family income
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Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways
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Emotional, Behavioral, and Cognitive Correlates of Attention Deficit and Hyperactive Disorder (ADHD) Screening and Diagnosis History: Sex/Gender Differences
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Autism is associated with in vivo changes in gray matter neurite architecture
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Child Neuropsychological Functioning and Interpersonal Callousness as Predictors of Externalising Behaviour in Early Adolescence: A Prospective Population-based Study
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The longitudinal structure of cognition in the ABCD study and associations with neural function and psychopathology: A Bayesian probabilistic principal components analysis
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Neurocognitive development and its relationship to brain structure and function: Findings from the ABCD study
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Authors: Thompson, W. K., Barch, D. M., Bjork, J. M., Gonzalez, R., Nagel, B. J., Nixon, S. J., & Luciana, M.
Affiliations: University of California San Diego (US)
Washington University in St. Louis (US)
Virginia Commonwealth University (US)
Oregon Health & Science University (US)
University of Florida (US)
University of Minnesota (US)
Corresponding author: Luciana, Monica
ORCID: Thompson, Wesley K.
Barch, Deanna M.
Bjork, James M.
Nagel, Bonnie J.
Nixon, Sara Jo
Luciana, Monica
Venue: Developmental Cognitive Neuroscience
Publisher: Elsevier BV
Published: 2019-04
Volume: 36
Pages: 100606
ISSN: 1878-9293 (ISSN-L)
DOI: 10.1016/j.dcn.2018.12.004
PMC: PMC6676481
OpenAlex: W2904226249
Cited by: 227
References: 78
Citations by year: 2026: 28 · 2025: 41 · 2024: 36 · 2023: 36 · 2022: 33 · 2021: 31 · 2020: 13 · 2019: 8 · 2018: 1
FWCI: 7.89
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
Locations: Developmental Cognitive Neuroscience (publishedVersion, cc-by-nc-nd)
Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
PubMed Central (publishedVersion, cc-by-nc-nd)
PubMed (publishedVersion)
eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
Florida International University Digital Commons (Florida International University) (submittedVersion)
Florida International University Digital Commons (Florida International University) (submittedVersion, cc-by-nc-nd)
Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by-nc-nd)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
eScholarship (California Digital Library) (submittedVersion)
Funders: National Institute on Drug Abuse (U01DA041148, U01DA041106, 1U24DA041123-01, U01DA041120, U01 DA041156)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
Keywords: cognitive structure, neuropsychological assessment, executive function, learning and memory, general intelligence, behavioral problems, internalizing problems, externalizing problems, stress reactivity, Child Behavior Checklist, Adolescent Brain Cognitive Development Study, children aged 9-10, NIH Toolbox
MeSH terms: Problem Behavior, Adolescent, Brain, Child, Cognition, Female, Humans, Longitudinal Studies, Male, Neurocognitive Disorders, Adolescent Development

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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

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