The DOI matches its Crossref record; 76 of the 78 references it cites were found in a registry or an index.
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
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
Stan : A Probabilistic Programming Language
Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M., Guo, J., Li, P., & Riddell, A. (2017) · Journal of Statistical Software · doi:10.18637/jss.v076.i01 · Cited by 7,754
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641
Effects of noise letters upon the identification of a target letter in a nonsearch task
Eriksen, B. A., & Eriksen, C. W. (1974) · Perception & Psychophysics · doi:10.3758/bf03203267 · Cited by 7,230
(2010) · University of Twente Research Information · Cited by 6,037
(2015) · doi:10.1007/s11222-016-9696-4 · Cited by 5,611
Miyake, A., & Friedman, N. P. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721411429458 · Cited by 3,944
Probabilistic Principal Component Analysis
Tipping, M. E., & Bishop, C. M. (1999) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00196 · Cited by 3,679
The role of the medial frontal cortex in cognitive control
Ridderinkhof, K. R., Ullsperger, M., Crone, E. A., & Nieuwenhuis, S. (2004) · Science · doi:10.1126/science.1100301 · Cited by 2,974
An Expanded View of Complex Traits: From Polygenic to Omnigenic
Boyle, E. A., Li, Y. I., & Pritchard, J. K. (2017) · Cell · doi:10.1016/j.cell.2017.05.038 · Cited by 2,851
Inhibition and the right inferior frontal cortex: one decade on
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.12.003 · Cited by 2,166
Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., Bartsch, A. J., Jbabdi, S., Sotiropoulos, S. N., Andersson, J. L. R., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4393 · Cited by 2,020
Friedman, N. P., & Miyake, A. (2017) · Cortex · doi:10.1016/j.cortex.2016.04.023 · Cited by 1,834
Age-related change in executive function: Developmental trends and a latent variable analysis
Huizinga, M., Dolan, C. V., & van der Molen, M. W. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.01.010 · Cited by 1,636
Identification of a Common Neurobiological Substrate for Mental Illness
Goodkind, M., Eickhoff, S. B., Oathes, D. J., Jiang, Y., Chang, A., Jones-Hagata, L. B., Ortega, B. N., Zaiko, Y. V., Roach, E. L., Korgaonkar, M. S., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2206 · Cited by 1,404
Recruiting the ABCD sample: Design considerations and procedures
Garavan, H., Bartsch, H., Conway, K., Decastro, A., Goldstein, R. Z., Heeringa, S., Jernigan, T., Potter, A., Thompson, W., & Zahs, D. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.04.004 · Cited by 1,393
Self-citationMaturation of Cognitive Processes From Late Childhood to Adulthood
Luna, B., Garver, K. E., Urban, T. A., Lazar, N. A., & Sweeney, J. A. (2004) · Child Development · doi:10.1111/j.1467-8624.2004.00745.x · Cited by 1,351
Dimensions of executive functioning: evidence from children
Lehto, J. E., Juujärvi, P., Kooistra, L., & Pulkkinen, L. (2003) · British Journal of Developmental Psychology · doi:10.1348/026151003321164627 · Cited by 1,226
Snyder, H. R., Miyake, A., & Hankin, B. L. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00328 · Cited by 946 · cited 2×
“Notably, use of component scores mitigates potential method variance that can result from reliance on a single task score as the metric for an entire cognitive construct (Snyder et al., 2015).”
BackgroundNIH Toolbox for Assessment of Neurological and Behavioral Function
Gershon, R. C., Wagster, M. V., Hendrie, H. C., Fox, N. A., Cook, K. F., & Nowinski, C. J. (2013) · Neurology · doi:10.1212/wnl.0b013e3182872e5f · Cited by 895
II. NIH TOOLBOX COGNITION BATTERY (CB): MEASURING EXECUTIVE FUNCTION AND ATTENTION
Zelazo, P. D., Anderson, J. E., Richler, J., Wallner-Allen, K., Beaumont, J. L., & Weintraub, S. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12032 · Cited by 823
Edinburgh Handedness Inventory – Short Form: A revised version based on confirmatory factor analysis
Veale, J. F. (2013) · Laterality Asymmetries of Body Brain and Cognition · doi:10.1080/1357650x.2013.783045 · Cited by 805
The structure of executive function in 3-year-olds.
Wiebe, S. A., Sheffield, T., Nelson, J. M., Clark, C. A. C., Chevalier, N., & Espy, K. A. (2011) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2010.08.008 · Cited by 776
Li, S., Lindenberger, U., Hommel, B., Aschersleben, G., Prinz, W., & Baltes, P. B. (2004) · Psychological Science · doi:10.1111/j.0956-7976.2004.01503003.x · Cited by 721
Deater-Deckard, K. D., Dodge, K. A., Bates, J. E., & Pettit, G. S. (1998) · Development and Psychopathology · doi:10.1017/s0954579498001709 · Cited by 708
McTeague, L. M., Huemer, J., Carreon, D. M., Jiang, Y., Eickhoff, S. B., & Etkin, A. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16040400 · Cited by 635
Peters, S. K., Dunlop, K., & Downar, J. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00104 · Cited by 611 · cited 1×
“, 2017), including regions involved in emotion regulation (Peters et al., 2016), response inhibition (Aron et al.”
BackgroundChildhood externalizing and internalizing psychopathology in the prediction of early substance use
King, S. M., Iacono, W. G., & McGue, M. K. (2004) · Addiction · doi:10.1111/j.1360-0443.2004.00893.x · Cited by 584
The development of nonverbal working memory and executive control processes in adolescents
Luciana, M., Conklin, H. M., Hooper, C. J., & Yarger, R. S. (2005) · Child Development · doi:10.1111/j.1467-8624.2005.00872.x · Cited by 567
Self-citationLawson, G. M., Hook, C. J., & Farah, M. J. (2018) · Developmental Science · doi:10.1111/desc.12529 · Cited by 556
Luciana, M. M., Bjork, J. M., Nagel, B. J., Barch, D. M., González, R., Nixon, S. J., & Banich, M. T. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.02.006 · Cited by 554
Self-citationNeuropsychological measures of executive function and antisocial behavior: a meta-analysis.
OGILVIE, J. M., STEWART, A. L., CHAN, R. C. K., & SHUM, D. H. K. (2011) · Criminology · doi:10.1111/j.1745-9125.2011.00252.x · Cited by 459
Development of hot and cool executive function during the transition to adolescence
Prencipe, A., Kesek, A., Cohen, J., Lamm, C., Lewis, M. D., & Zelazo, P. D. (2011) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2010.09.008 · Cited by 433
McGue, M. K., Iacono, W. G., Legrand, L. N., Malone, S., & Elkins, I. J. (2001) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2001.tb02330.x · Cited by 430
Young, S. E., Friedman, N. P., Miyake, A., Willcutt, E. G., Corley, R. P., Haberstick, B. C., & Hewitt, J. K. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0014657 · Cited by 420
Executive Functions in Preschool Children with Externalizing Behavior Problems: A Meta-Analysis
Schoemaker, K., Mulder, H., Deković, M., & Matthys, W. (2012) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-012-9684-x · Cited by 411
Transdiagnostic impairment of cognitive control in mental illness
McTeague, L. M., Goodkind, M. S., & Etkin, A. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.08.001 · Cited by 368
NIH Toolbox Cognition Battery (CB): Validation of Executive Function Measures in Adults
Zelazo, P. D., Anderson, J. E., Richler, J., Wallner-Allen, K., Beaumont, J. L., Conway, K. P., Gershon, R., & Weintraub, S. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000472 · Cited by 350
Akshoomoff, N., Beaumont, J. L., Bauer, P. J., Dikmen, S. S., Gershon, R. C., Mungas, D., Slotkin, J., Tulsky, D., Weintraub, S., Zelazo, P. D., et al. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12038 · Cited by 299
Familial, Social, and Individual Factors Contributing to Risk for Adolescent Substance Use
Whitesell, M., Bachand, A. M., Peel, J. L., & Brown, M. (2013) · Journal of Addiction · doi:10.1155/2013/579310 · Cited by 276
(2009) · Monographs of the Society for Research in Child Development · doi:10.1111/j.1540-5834.2009.00528.x · Cited by 276
Casaletto, K. B., Umlauf, A., Beaumont, J., Gershon, R., Slotkin, J., Akshoomoff, N., & Heaton, R. K. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000351 · Cited by 271
I. NIH TOOLBOX COGNITION BATTERY (CB): INTRODUCTION AND PEDIATRIC DATA
Weintraub, S., Bauer, P. J., Zelazo, P. D., Wallner-Allen, K., Dikmen, S. S., Heaton, R. K., Tulsky, D. S., Slotkin, J., Blitz, D. L., Carlozzi, N. E., et al. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12031 · Cited by 248
Memory Maintenance and Inhibitory Control Differentiate from Early Childhood to Adolescence
Shing, Y. L., Lindenberger, U., Diamond, A., Li, S.-C., & Davidson, M. C. (2010) · Developmental Neuropsychology · doi:10.1080/87565641.2010.508546 · Cited by 239
Conway, K. P., Swendsen, J., Husky, M. M., He, J.-P., & Merikangas, K. R. (2016) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.01.006 · Cited by 234 · cited 2×
“, 2011); the Add Health Study (Chantala and Tabor, 1999); the National Comorbidity ReplicationAdolescent Supplement (Conway et al., 2016); the National Education Longitudinal Studies (Ingels et al.”
BackgroundChantala, K., & Tabor, J. W. (2010) · Cited by 220
Brydges, C. R., Fox, A. M., Reid, C. L., & Anderson, M. (2014) · Intelligence · doi:10.1016/j.intell.2014.08.010 · Cited by 210
Language Measures of the NIH Toolbox Cognition Battery
Gershon, R. C., Cook, K. F., Mungas, D., Manly, J. J., Slotkin, J., Beaumont, J. L., & Weintraub, S. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000411 · Cited by 189
Depression in Substance-Dependent Delinquents
Riggs, P., Baker, S. G., Mikulich, S. K., Young, S. E., & Crowley, T. J. (1995) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199506000-00017 · Cited by 188
Hodes, R. J., Insel, T. R., & Landis, S. C. (2013) · Neurology · doi:10.1212/wnl.0b013e3182872e90 · Cited by 174
Personality traits and vulnerability or resilience to substance use disorders
Belcher, A. M., Volkow, N. D., Moeller, F. G., & Ferré, S. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.01.010 · Cited by 173
Gershon, R. C., Slotkin, J., Manly, J. J., Blitz, D. L., Beaumont, J. L., Schnipke, D., Wallner-Allen, K., Golinkoff, R. M., Gleason, J. B., Hirsh-Pasek, K., et al. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12034 · Cited by 157
Measuring Episodic Memory Across the Lifespan: NIH Toolbox Picture Sequence Memory Test
DIKMEN, S. S., Bauer, P. J., Weıntraub, S., Mungas, D., Slotkin, J., Beaumont, J. L., Gershon, R. C., Temkin, N. R., & Heaton, R. K. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000460 · Cited by 147
Developmental Differences in the Structure of Executive Function in Middle Childhood and Adolescence
Xu, F., Han, Y., Sabbagh, M. A., Wang, T., Ren, X., & Li, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077770 · Cited by 128
III. NIH toolbox cognition battery (CB): measuring episodic memory
Bauer, P. J., Dikmen, S. S., Heaton, R. K., Mungas, D., Slotkin, J., & Beaumont, J. L. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12033 · Cited by 128
The NIH Toolbox Pattern Comparison Processing Speed Test: Normative Data
Carlozzi, N. E., Beaumont, J. L., Tulsky, D. S., & Gershon, R. C. (2015) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acv031 · Cited by 115
NIH Toolbox Cognitive Battery (NIHTB-CB): The NIHTB Pattern Comparison Processing Speed Test
Carlozzi, N. E., Tulsky, D. S., Chiaravalloti, N. D., Beaumont, J. L., Weintraub, S., Conway, K., & Gershon, R. C. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000319 · Cited by 107
The Monitoring the Future project after twenty-two years: Design and procedures
Bachman, J. G., Johnston, L. D., & O’Malley, P. M. (1996) · Deep Blue (University of Michigan) · Cited by 104
Mungas, D., Heaton, R., Tulsky, D., Zelazo, P. D., Slotkin, J., Blitz, D., Lai, J.-S., & Gershon, R. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000307 · Cited by 95
Iacono, W. G., Heath, A. C., Hewitt, J. K., Neale, M. C., Banich, M. T., Luciana, M. M., Madden, P. A., Barch, D. M., & Bjork, J. M. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.09.001 · Cited by 94 · cited 1×
“Twins were recruited from birth registries (see Garavan et al., 2018; Iacono et al., 2017) for participant recruitment details).”
MethodSelf-citationExecutive function in children with externalizing and comorbid internalizing behavior problems
Woltering, S., Lishak, V., Hodgson, N., Granic, I., & Zelazo, P. D. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12428 · Cited by 88
Casaletto, K. B., Umlauf, A., Marquine, M. J., Beaumont, J. L., Mungas, D., Gershon, R. C., Slotkin, J., Akshoomoff, N. A., & Heaton, R. K. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771500137x · Cited by 87
An Investigation of Female Adolescent Twins With Both Major Depression and Conduct Disorder
Marmorstein, N. R., & Iacono, W. G. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200103000-00009 · Cited by 78
VI. NIH toolbox cognition battery (CB): measuring processing speed
Carlozzi, N. E., Tulsky, D. S., Kail, R. V., & Beaumont, J. L. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12036 · Cited by 76
Blanken, L. M. E., White, T. J. H., Mous, S. E., Basten, M., Muetzel, R. L., Jaddoe, V. W. V., Wals, M., van der Ende, J., Verhulst, F. C., & Tiemeier, H. W. (2016) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-016-0903-9 · Cited by 76
A dynamic cascade model of the development of substance-use onset
Dodge, K. A. (2009) · Repository of the University of Ljubljana (University of Ljubljana) · Cited by 76
VII. NIH TOOLBOX COGNITION BATTERY (CB): FACTOR STRUCTURE FOR 3 TO 15 YEAR OLDS
Mungas, D., Widaman, K., Zelazo, P. D., Tulsky, D., Heaton, R. K., Slotkin, J., Blitz, D. L., & Gershon, R. C. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12037 · Cited by 73
Flores, I., Casaletto, K. B., Marquine, M. J., Umlauf, A., Moore, D. J., Mungas, D., Gershon, R. C., Beaumont, J. L., & Heaton, R. K. (2017) · The Clinical Neuropsychologist · doi:10.1080/13854046.2016.1276216 · Cited by 58
Atherton, O. E., Conger, R. D., Ferrer, E. E., & Robins, R. W. (2015) · Journal of Research on Adolescence · doi:10.1111/jora.12235 · Cited by 57
What is the NIH Toolbox, and what will it mean to neurology?
Bleck, T. P., Nowinski, C. J., Gershon, R. C., & Koroshetz, W. J. (2013) · Neurology · doi:10.1212/wnl.0b013e3182872ea0 · Cited by 43
Klimes‐Dougan, B., & Garber, J. (2016) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2015.1123637 · Cited by 34
Visu‐Petra, L., Bengà, O., & Miclea, M. (2007) · Cognitie, Creier, Comportament · Cited by 25
Lockwood, J. R., Savitsky, T. D., & McCaffrey, D. F. (2015) · The Annals of Applied Statistics · doi:10.1214/15-aoas833 · Cited by 23
Introduction to the Special Section on Executive Functions and Externalizing Symptoms
Sulik, M. J. (2017) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-017-0349-7 · Cited by 14
Flagged first, then by citations
2 of the 78 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- McKenna, 2017, Informing the structure of executive function in children: a meta-analysis of functional neuroimaging data, Front. Hum. Neurosci., 11, 154, 10.3389/fnhum.2017.00154 · DOI · Paper page
- Rubin, 2004, vol. 81
- Snellen, 1862, vol.1
Cited by
Sorted by citations
The ABCD study: understanding the development of risk for mental and physical health outcomes
Karcher, N. R., & Barch, D. M. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0736-6 · Cited by 351
Self-citationMeaningful associations in the adolescent brain cognitive development study
Dick, A. S., Lopez, D. A., Watts, A. L., Heeringa, S. G., Reuter, C., Bartsch, H., Fan, C. C., Kennedy, D. N., Palmer, C. E., Marshall, A. T., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118262 · Cited by 240
Self-citationMichelini, G., Barch, D. M., Tian, Y., Watson, D., Klein, D. N., & Kotov, R. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0593-4 · Cited by 171
Self-citationThe Challenges and Opportunities of Small Effects: The New Normal in Academic Psychiatry
Paulus, M. P., & Thompson, W. K. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.4540 · Cited by 160
Self-citationRakesh, 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 167
Metadata
- 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
- Venue
- Developmental Cognitive Neuroscience
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 36
- Pages
- 100606
- ISSN
- 1878-9293 (ISSN-L)
- 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
- FWCI
- 7.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review