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Better together: novel methods for measuring and modeling development of executive function diversity while accounting for unity.
Younger, Jessica Wise; O'Laughlin, Kristine D; Anguera, Joaquin A; Bunge, Silvia A; Ferrer, Emilio E; Hoeft, Fumiko; McCandliss, Bruce D; Mishra, Jyoti; Rosenberg-Lee, Miriam; Gazzaley, Adam; Uncapher, Melina R.
Afiliação
  • Younger JW; Neuroscape, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
  • O'Laughlin KD; Neuroscape, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
  • Anguera JA; Neuroscape, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
  • Bunge SA; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.
  • Ferrer EE; Department of Psychology & Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.
  • Hoeft F; Department of Psychology, University of California, Davis, Davis, CA, United States.
  • McCandliss BD; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.
  • Mishra J; Department of Psychological Sciences and Brain Imaging Research Center (BIRC), University of Connecticut, Storrs, CT, United States.
  • Rosenberg-Lee M; Graduate School of Education, Stanford University, Stanford, CA, United States.
  • Gazzaley A; Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.
  • Uncapher MR; Neural Engineering & Translation Labs, University of California San Diego, La Jolla, CA, United States.
Front Hum Neurosci ; 17: 1195013, 2023.
Article em En | MEDLINE | ID: mdl-37554411
ABSTRACT

Introduction:

Executive functions (EFs) are linked to positive outcomes across the lifespan. Yet, methodological challenges have prevented precise understanding of the developmental trajectory of their organization.

Methods:

We introduce novel methods to address challenges for both measuring and modeling EFs using an accelerated longitudinal design with a large, diverse sample of students in middle childhood (N = 1,286; ages 8 to 14). We used eight adaptive assessments hypothesized to measure three EFs, working memory, context monitoring, and interference resolution. We deployed adaptive assessments to equate EF challenge across ages and a data-driven, network analytic approach to reveal the evolving diversity of EFs while simultaneously accounting for their unity. Results and

discussion:

Using this methodological paradigm shift brought new precision and clarity to the development of these EFs, showing these eight tasks are organized into three stable components by age 10, but refinement of composition of these components continues through at least age 14.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article