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
暂无分享,去创建一个
D. Barch | W. Thompson | J. Bjork | M. Luciana | B. Nagel | S. Nixon | R. Gonzalez
[1] C. Gienger. Wechsler Intelligence Scale for Children – Fifth Edition (WISC-V) , 2018 .
[2] H. Garavan,et al. Recruiting the ABCD sample: Design considerations and procedures , 2018, Developmental Cognitive Neuroscience.
[3] Cayce J. Hook,et al. A meta-analysis of the relationship between socioeconomic status and executive function performance among children. , 2018, Developmental science.
[4] D. Barch,et al. Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery , 2018, Developmental Cognitive Neuroscience.
[5] Michael C. Neale,et al. The utility of twins in developmental cognitive neuroscience research: How twins strengthen the ABCD research design , 2017, Developmental Cognitive Neuroscience.
[6] Introduction to the Special Section on Executive Functions and Externalizing Symptoms , 2017, Journal of abnormal child psychology.
[7] Yang I Li,et al. An Expanded View of Complex Traits: From Polygenic to Omnigenic , 2017, Cell.
[8] Simon B Eickhoff,et al. Identification of Common Neural Circuit Disruptions in Cognitive Control Across Psychiatric Disorders. , 2017, The American journal of psychiatry.
[9] A. Miyake,et al. Unity and diversity of executive functions: Individual differences as a window on cognitive structure , 2017, Cortex.
[10] R. Heaton,et al. Performance of Hispanics and Non-Hispanic Whites on the NIH Toolbox Cognition Battery: the roles of ethnicity and language backgrounds , 2017, The Clinical neuropsychologist.
[11] Jiqiang Guo,et al. Stan: A Probabilistic Programming Language. , 2017, Journal of statistical software.
[12] Róisín McKenna,et al. Informing the Structure of Executive Function in Children: A Meta-Analysis of Functional Neuroimaging Data , 2017, Front. Hum. Neurosci..
[13] Aki Vehtari,et al. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC , 2015, Statistics and Computing.
[14] J. Downar,et al. Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment , 2016, Front. Syst. Neurosci..
[15] Olivia E. Atherton,et al. Risk and Protective Factors for Early Substance Use Initiation: A Longitudinal Study of Mexican-Origin Youth. , 2016, Journal of research on adolescence : the official journal of the Society for Research on Adolescence.
[16] Amit Etkin,et al. Transdiagnostic impairment of cognitive control in mental illness. , 2016, Journal of psychiatric research.
[17] T. White,et al. Cognitive functioning in children with internalising, externalising and dysregulation problems: a population-based study , 2016, European Child & Adolescent Psychiatry.
[18] P. Matthews,et al. Multimodal population brain imaging in the UK Biobank prospective epidemiological study , 2016, Nature Neuroscience.
[19] K. Merikangas,et al. Association of Lifetime Mental Disorders and Subsequent Alcohol and Illicit Drug Use: Results From the National Comorbidity Survey-Adolescent Supplement. , 2016, Journal of the American Academy of Child and Adolescent Psychiatry.
[20] R. Heaton,et al. Demographically Corrected Normative Standards for the Spanish Language Version of the NIH Toolbox Cognition Battery , 2016, Journal of the International Neuropsychological Society.
[21] B. Klimes-Dougan,et al. Regulatory Control and Depression in Adolescents: Findings from Neuroimaging and Neuropsychological Research , 2016, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.
[22] Lena Osterhagen,et al. Multiple Imputation For Nonresponse In Surveys , 2016 .
[23] P. Zelazo,et al. Executive function in children with externalizing and comorbid internalizing behavior problems. , 2016, Journal of child psychology and psychiatry, and allied disciplines.
[24] Daniel F. McCaffrey,et al. Inferring constructs of effective teaching from classroom observations: An application of Bayesian exploratory factor analysis without restrictions , 2015 .
[25] D. Tulsky,et al. The NIH Toolbox Pattern Comparison Processing Speed Test: Normative Data. , 2015, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.
[26] Robert K. Heaton,et al. Demographically Corrected Normative Standards for the English Version of the NIH Toolbox Cognition Battery , 2015, Journal of the International Neuropsychological Society.
[27] P. Fox,et al. Identification of a common neurobiological substrate for mental illness. , 2015, JAMA psychiatry.
[28] Hannah R. Snyder,et al. Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches , 2015, Front. Psychol..
[29] T. Achenbach. Achenbach System of Empirically Based Assessment (ASEBA) , 2015 .
[30] Mike Anderson,et al. The differentiation of executive functions in middle and late childhood: A longitudinal latent-variable analysis , 2014 .
[31] Jerry Slotkin,et al. Factor Structure, Convergent Validity, and Discriminant Validity of the NIH Toolbox Cognitive Health Battery (NIHTB-CHB) in Adults , 2014, Journal of the International Neuropsychological Society.
[32] Richard C. Gershon,et al. NIH Toolbox Cognitive Battery (NIHTB-CB): The NIHTB Pattern Comparison Processing Speed Test , 2014, Journal of the International Neuropsychological Society.
[33] Robert K. Heaton,et al. Measuring Episodic Memory Across the Lifespan: NIH Toolbox Picture Sequence Memory Test , 2014, Journal of the International Neuropsychological Society.
[34] S. Weintraub,et al. NIH Toolbox Cognition Battery (CB): Validation of Executive Function Measures in Adults , 2014, Journal of the International Neuropsychological Society.
[35] Richard C. Gershon,et al. Language Measures of the NIH Toolbox Cognition Battery , 2014, Journal of the International Neuropsychological Society.
[36] N. Volkow,et al. Personality traits and vulnerability or resilience to substance use disorders , 2014, Trends in Cognitive Sciences.
[37] T. Robbins,et al. Inhibition and the right inferior frontal cortex: one decade on , 2014, Trends in Cognitive Sciences.
[38] Jaimie F. Veale,et al. Edinburgh Handedness Inventory – Short Form: A revised version based on confirmatory factor analysis , 2014, Laterality.
[39] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[40] Dustin Wahlstrom,et al. Equivalence of Q-interactive™ and Paper Administrations of Cognitive Tasks: WISC ® -V , 2014 .
[41] Xuezhu Ren,et al. Developmental Differences in the Structure of Executive Function in Middle Childhood and Adolescence , 2013, PloS one.
[42] Noelle E Carlozzi,et al. VI. NIH Toolbox Cognition Battery (CB): measuring processing speed. , 2013, Monographs of the Society for Research in Child Development.
[43] Roberta Michnick Golinkoff,et al. IV. NIH Toolbox Cognition Battery (CB): measuring language (vocabulary comprehension and reading decoding). , 2013, Monographs of the Society for Research in Child Development.
[44] Jerry Slotkin,et al. III. NIH Toolbox Cognition Battery (CB): measuring episodic memory. , 2013, Monographs of the Society for Research in Child Development.
[45] R. Heaton,et al. VII. NIH Toolbox Cognition Battery (CB): factor structure for 3 to 15 year olds. , 2013, Monographs of the Society for Research in Child Development.
[46] Sandra Weintraub,et al. II. NIH Toolbox Cognition Battery (CB): measuring executive function and attention. , 2013, Monographs of the Society for Research in Child Development.
[47] Jerry Slotkin,et al. VIII. NIH Toolbox Cognition Battery (CB): composite scores of crystallized, fluid, and overall cognition. , 2013, Monographs of the Society for Research in Child Development.
[48] S. Weintraub,et al. I. NIH Toolbox Cognition Battery (CB): introduction and pediatric data. , 2013, Monographs of the Society for Research in Child Development.
[49] Brian A. Nosek,et al. Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.
[50] M. Deković,et al. Executive Functions in Preschool Children with Externalizing Behavior Problems: A Meta-Analysis , 2012, Journal of Abnormal Child Psychology.
[51] A. Bachand,et al. Familial, Social, and Individual Factors Contributing to Risk for Adolescent Substance Use , 2013, Journal of addiction.
[52] Richard J Hodes,et al. The NIH Toolbox , 2013, Neurology.
[53] N. Fox,et al. NIH Toolbox for Assessment of Neurological and Behavioral Function , 2013, Neurology.
[54] Walter J. Koroshetz,et al. What is the NIH Toolbox, and what will it mean to neurology? , 2013, Neurology.
[55] A. Miyake,et al. The Nature and Organization of Individual Differences in Executive Functions , 2012, Current directions in psychological science.
[56] Stef van Buuren,et al. MICE: Multivariate Imputation by Chained Equations in R , 2011 .
[57] R. Chan,et al. Neuropsychological measures of executive function and antisocial behavior: A meta-analysis , 2011 .
[58] P. Zelazo,et al. Development of hot and cool executive function during the transition to adolescence. , 2011, Journal of experimental child psychology.
[59] C. Clark,et al. The structure of executive function in 3-year-olds. , 2011, Journal of experimental child psychology.
[60] Jörg Drechsler,et al. Multiple Imputation for Nonresponse , 2011 .
[61] Yee Lee Shing,et al. Memory Maintenance and Inhibitory Control Differentiate from Early Childhood to Adolescence Nih Public Access Author Manuscript Aims of This Study Analytical Strategy , 2022 .
[62] J. Tabor,et al. National Longitudinal Study of Adolescent Health Strategies to Perform a Design-Based Analysis Using the Add Health Data , 2010 .
[63] G. S. Pettit,et al. A Dynamic Cascade Model of the Development of Substance - Use Onset , 2009 .
[64] E. Willcutt,et al. Behavioral Disinhibition: Liability for Externalizing Spectrum Disorders and Its Genetic and Environmental Relation to Response Inhibition across Adolescence the Nature and Etiology of Behavioral Disinhibition , 2022 .
[65] M. Miclea,et al. Dimensions of Attention and Executive Functioning in 5-To 12-Years-Old Children: Neuropsychological Assessment with the Nepsy Battery , 2007 .
[66] Conor V. Dolan,et al. Source (or Part of the following Source): Type Article Title Age-related Change in Executive Function: Developmental Trends and a Latent Variable Analysis Author(s) Age-related Change in Executive Function: Developmental Trends and a Latent Variable Analysis , 2022 .
[67] Catalina J. Hooper,et al. The development of nonverbal working memory and executive control processes in adolescents. , 2005, Child development.
[68] W. Iacono,et al. Childhood externalizing and internalizing psychopathology in the prediction of early substance use. , 2004, Addiction.
[69] K. R. Ridderinkhof,et al. The Role of the Medial Frontal Cortex in Cognitive Control , 2004, Science.
[70] N. Lazar,et al. Maturation of cognitive processes from late childhood to adulthood. , 2004, Child development.
[71] Wolfgang Prinz,et al. Transformations in the Couplings Among Intellectual Abilities and Constituent Cognitive Processes Across the Life Span , 2004, Psychological science.
[72] L. Pulkkinen,et al. Dimensions of executive functioning: Evidence from children , 2003 .
[73] W. Iacono,et al. Origins and consequences of age at first drink. I. Associations with substance-use disorders, disinhibitory behavior and psychopathology, and P3 amplitude. , 2001, Alcoholism, clinical and experimental research.
[74] W. Iacono,et al. An investigation of female adolescent twins with both major depression and conduct disorder. , 2001, Journal of the American Academy of Child and Adolescent Psychiatry.
[75] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[76] G. S. Pettit,et al. Multiple risk factors in the development of externalizing behavior problems: Group and individual differences , 1998, Development and Psychopathology.
[77] S. Young,et al. Depression in substance-dependent delinquents. , 1995, Journal of the American Academy of Child and Adolescent Psychiatry.
[78] C. Eriksen,et al. Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .
[79] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[80] J. Meigs,et al. WHO Technical Report , 1954, The Yale Journal of Biology and Medicine.