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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

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 [Formula: see text] 4521 children aged 9–10 were released for public access on November 2, 2018....

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Autores principales: Thompson, Wesley K., Barch, Deanna M., Bjork, James M., Gonzalez, Raul, Nagel, Bonnie J., Nixon, Sara Jo, Luciana, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676481/
https://www.ncbi.nlm.nih.gov/pubmed/30595399
http://dx.doi.org/10.1016/j.dcn.2018.12.004
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author Thompson, Wesley K.
Barch, Deanna M.
Bjork, James M.
Gonzalez, Raul
Nagel, Bonnie J.
Nixon, Sara Jo
Luciana, Monica
author_facet Thompson, Wesley K.
Barch, Deanna M.
Bjork, James M.
Gonzalez, Raul
Nagel, Bonnie J.
Nixon, Sara Jo
Luciana, Monica
author_sort Thompson, Wesley K.
collection PubMed
description 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 [Formula: see text] 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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spelling pubmed-66764812019-08-02 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 Dev Cogn Neurosci Recent Advances in Developmental Cognitive Neuroscience – Special Issue from the Flux Congress 2016 & 2017 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 [Formula: see text] 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. Elsevier 2018-12-13 /pmc/articles/PMC6676481/ /pubmed/30595399 http://dx.doi.org/10.1016/j.dcn.2018.12.004 Text en © 2018 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Recent Advances in Developmental Cognitive Neuroscience – Special Issue from the Flux Congress 2016 & 2017
Thompson, Wesley K.
Barch, Deanna M.
Bjork, James M.
Gonzalez, Raul
Nagel, Bonnie J.
Nixon, Sara Jo
Luciana, Monica
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort structure of cognition in 9 and 10 year-old children and associations with problem behaviors: findings from the abcd study’s baseline neurocognitive battery
topic Recent Advances in Developmental Cognitive Neuroscience – Special Issue from the Flux Congress 2016 & 2017
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676481/
https://www.ncbi.nlm.nih.gov/pubmed/30595399
http://dx.doi.org/10.1016/j.dcn.2018.12.004
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