Literature DB >> 24219608

The NIH Toolbox Cognition Battery: results from a large normative developmental sample (PING).

Natacha Akshoomoff1, Erik Newman1, Wesley K Thompson2, Connor McCabe3, Cinnamon S Bloss4, Linda Chang5, David G Amaral6, B J Casey7, Thomas M Ernst5, Jean A Frazier8, Jeffrey R Gruen9, Walter E Kaufmann10, Tal Kenet11, David N Kennedy8, Ondrej Libiger12, Stewart Mostofsky10, Sarah S Murray12, Elizabeth R Sowell13, Nicholas Schork12, Anders M Dale14, Terry L Jernigan15.   

Abstract

OBJECTIVE: The NIH Toolbox Cognition Battery (NTCB) was designed to provide a brief, efficient computerized test of key neuropsychological functions appropriate for use in children as young as 3 years of age. This report describes the performance of a large group of typically developing children and adolescents and examines the impact of age and sociocultural variables on test performance.
METHOD: The NTCB was administered to a sample of 1,020 typically developing males and females ranging in age from 3 to 20 years, diverse in terms of socioeconomic status (SES) and race/ethnicity, as part of the new publicly accessible Pediatric Imaging, Neurocognition, and Genetics (PING) data resource, at 9 sites across the United States.
RESULTS: General additive models of nonlinear age-functions were estimated from age-differences in test performance on the 8 NTCB subtests while controlling for family SES and genetic ancestry factors (GAFs). Age accounted for the majority of the variance across all NTCB scores, with additional significant contributions of gender on some measures, and of SES and race/ethnicity (GAFs) on all. After adjusting for age and gender, SES and GAFs explained a substantial proportion of the remaining unexplained variance in Picture Vocabulary scores.
CONCLUSIONS: The results highlight the sensitivity to developmental effects and efficiency of this new computerized assessment battery for neurodevelopmental research. Limitations are observed in the form of some ceiling effects in older children, some floor effects, particularly on executive function tests in the youngest participants, and evidence for variable measurement sensitivity to cultural/socioeconomic factors.

Entities:  

Mesh:

Year:  2013        PMID: 24219608      PMCID: PMC3925365          DOI: 10.1037/neu0000001

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  32 in total

1.  A human genome diversity cell line panel.

Authors:  Howard M Cann; Claudia de Toma; Lucien Cazes; Marie-Fernande Legrand; Valerie Morel; Laurence Piouffre; Julia Bodmer; Walter F Bodmer; Batsheva Bonne-Tamir; Anne Cambon-Thomsen; Zhu Chen; J Chu; Carlo Carcassi; Licinio Contu; Ruofu Du; Laurent Excoffier; G B Ferrara; Jonathan S Friedlaender; Helena Groot; David Gurwitz; Trefor Jenkins; Rene J Herrera; Xiaoyi Huang; Judith Kidd; Kenneth K Kidd; Andre Langaney; Alice A Lin; S Qasim Mehdi; Peter Parham; Alberto Piazza; Maria Pia Pistillo; Yaping Qian; Qunfang Shu; Jiujin Xu; S Zhu; James L Weber; Henry T Greely; Marcus W Feldman; Gilles Thomas; Jean Dausset; L Luca Cavalli-Sforza
Journal:  Science       Date:  2002-04-12       Impact factor: 47.728

2.  Selective attention and active engagement in young children.

Authors:  Natacha Akshoomoff
Journal:  Dev Neuropsychol       Date:  2002       Impact factor: 2.253

Review 3.  Imaging the developing brain: what have we learned about cognitive development?

Authors:  B J Casey; Nim Tottenham; Conor Liston; Sarah Durston
Journal:  Trends Cogn Sci       Date:  2005-03       Impact factor: 20.229

4.  II. NIH Toolbox Cognition Battery (CB): measuring executive function and attention.

Authors:  Philip David Zelazo; Jacob E Anderson; Jennifer Richler; Kathleen Wallner-Allen; Jennifer L Beaumont; Sandra Weintraub
Journal:  Monogr Soc Res Child Dev       Date:  2013-08

5.  Long-term influence of normal variation in neonatal characteristics on human brain development.

Authors:  Kristine B Walhovd; Anders M Fjell; Timothy T Brown; Joshua M Kuperman; Yoonho Chung; Donald J Hagler; J Cooper Roddey; Matthew Erhart; Connor McCabe; Natacha Akshoomoff; David G Amaral; Cinnamon S Bloss; Ondrej Libiger; Nicholas J Schork; Burcu F Darst; B J Casey; Linda Chang; Thomas M Ernst; Jean Frazier; Jeffrey R Gruen; Walter E Kaufmann; Sarah S Murray; Peter van Zijl; Stewart Mostofsky; Anders M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-19       Impact factor: 11.205

6.  Neuroanatomical assessment of biological maturity.

Authors:  Timothy T Brown; Joshua M Kuperman; Yoonho Chung; Matthew Erhart; Connor McCabe; Donald J Hagler; Vijay K Venkatraman; Natacha Akshoomoff; David G Amaral; Cinnamon S Bloss; B J Casey; Linda Chang; Thomas M Ernst; Jean A Frazier; Jeffrey R Gruen; Walter E Kaufmann; Tal Kenet; David N Kennedy; Sarah S Murray; Elizabeth R Sowell; Terry L Jernigan; Anders M Dale
Journal:  Curr Biol       Date:  2012-08-16       Impact factor: 10.834

7.  Cognition assessment using the NIH Toolbox.

Authors:  Sandra Weintraub; Sureyya S Dikmen; Robert K Heaton; David S Tulsky; Philip D Zelazo; Patricia J Bauer; Noelle E Carlozzi; Jerry Slotkin; David Blitz; Kathleen Wallner-Allen; Nathan A Fox; Jennifer L Beaumont; Dan Mungas; Cindy J Nowinski; Jennifer Richler; Joanne A Deocampo; Jacob E Anderson; Jennifer J Manly; Beth Borosh; Richard Havlik; Kevin Conway; Emmeline Edwards; Lisa Freund; Jonathan W King; Claudia Moy; Ellen Witt; Richard C Gershon
Journal:  Neurology       Date:  2013-03-12       Impact factor: 9.910

8.  Development of attentional networks in childhood.

Authors:  M Rosario Rueda; Jin Fan; Bruce D McCandliss; Jessica D Halparin; Dana B Gruber; Lisha Pappert Lercari; Michael I Posner
Journal:  Neuropsychologia       Date:  2004       Impact factor: 3.139

9.  Mobile elements create structural variation: analysis of a complete human genome.

Authors:  Jinchuan Xing; Yuhua Zhang; Kyudong Han; Abdel Halim Salem; Shurjo K Sen; Chad D Huff; Qiong Zhou; Ewen F Kirkness; Samuel Levy; Mark A Batzer; Lynn B Jorde
Journal:  Genome Res       Date:  2009-05-13       Impact factor: 9.043

10.  When does brain aging accelerate? Dangers of quadratic fits in cross-sectional studies.

Authors:  Anders M Fjell; Kristine B Walhovd; Lars T Westlye; Ylva Østby; Christian K Tamnes; Terry L Jernigan; Anthony Gamst; Anders M Dale
Journal:  Neuroimage       Date:  2010-01-25       Impact factor: 6.556

View more
  85 in total

1.  Cognitive, emotion control, and motor performance of adolescents in the NCANDA study: Contributions from alcohol consumption, age, sex, ethnicity, and family history of addiction.

Authors:  Edith V Sullivan; Ty Brumback; Susan F Tapert; Rosemary Fama; Devin Prouty; Sandra A Brown; Kevin Cummins; Wesley K Thompson; Ian M Colrain; Fiona C Baker; Michael D De Bellis; Stephen R Hooper; Duncan B Clark; Tammy Chung; Bonnie J Nagel; B Nolan Nichols; Torsten Rohlfing; Weiwei Chu; Kilian M Pohl; Adolf Pfefferbaum
Journal:  Neuropsychology       Date:  2016-01-11       Impact factor: 3.295

2.  Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study.

Authors:  Kilian M Pohl; Edith V Sullivan; Torsten Rohlfing; Weiwei Chu; Dongjin Kwon; B Nolan Nichols; Yong Zhang; Sandra A Brown; Susan F Tapert; Kevin Cummins; Wesley K Thompson; Ty Brumback; Ian M Colrain; Fiona C Baker; Devin Prouty; Michael D De Bellis; James T Voyvodic; Duncan B Clark; Claudiu Schirda; Bonnie J Nagel; Adolf Pfefferbaum
Journal:  Neuroimage       Date:  2016-02-10       Impact factor: 6.556

Review 3.  Neurocognitive development in socioeconomic context: Multiple mechanisms and implications for measuring socioeconomic status.

Authors:  Alexandra Ursache; Kimberly G Noble
Journal:  Psychophysiology       Date:  2016-01       Impact factor: 4.016

4.  Augmenting cognitive training in older adults (The ACT Study): Design and Methods of a Phase III tDCS and cognitive training trial.

Authors:  Adam J Woods; Ronald Cohen; Michael Marsiske; Gene E Alexander; Sara J Czaja; Samuel Wu
Journal:  Contemp Clin Trials       Date:  2017-12-05       Impact factor: 2.226

5.  Caffeine intake and cognitive functions in children.

Authors:  Han Zhang; Zu Xuan Lee; Anqi Qiu
Journal:  Psychopharmacology (Berl)       Date:  2020-06-29       Impact factor: 4.530

6.  The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository.

Authors:  Terry L Jernigan; Timothy T Brown; Donald J Hagler; Natacha Akshoomoff; Hauke Bartsch; Erik Newman; Wesley K Thompson; Cinnamon S Bloss; Sarah S Murray; Nicholas Schork; David N Kennedy; Joshua M Kuperman; Connor McCabe; Yoonho Chung; Ondrej Libiger; Melanie Maddox; B J Casey; Linda Chang; Thomas M Ernst; Jean A Frazier; Jeffrey R Gruen; Elizabeth R Sowell; Tal Kenet; Walter E Kaufmann; Stewart Mostofsky; David G Amaral; Anders M Dale
Journal:  Neuroimage       Date:  2015-05-01       Impact factor: 6.556

7.  Fathers matter: The role of father parenting in preschoolers' executive function development.

Authors:  Alyssa S Meuwissen; Stephanie M Carlson
Journal:  J Exp Child Psychol       Date:  2015-07-25

8.  Dopaminergic gene methylation is associated with cognitive performance in a childhood monozygotic twin study.

Authors:  Candace R Lewis; Adrienne Henderson-Smith; Reagan S Breitenstein; Hayley A Sowards; Ignazio S Piras; Matthew J Huentelman; Leah D Doane; Kathryn Lemery-Chalfant
Journal:  Epigenetics       Date:  2019-03-16       Impact factor: 4.528

9.  Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.

Authors:  Gareth Ball; Richard Beare; Marc L Seal
Journal:  Hum Brain Mapp       Date:  2019-07-16       Impact factor: 5.038

10.  Brain structure mediates the association between socioeconomic status and attention-deficit/hyperactivity disorder.

Authors:  Laura Machlin; Katie A McLaughlin; Margaret A Sheridan
Journal:  Dev Sci       Date:  2019-05-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.