Better together: novel methods for measuring and modeling development of executive function diversity while accounting for unity.

Autor:	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.; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States., Bunge SA; Department of Psychology & Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States., Ferrer EE; Department of Psychology, University of California, Davis, Davis, CA, United States., Hoeft F; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.; Department of Psychological Sciences and Brain Imaging Research Center (BIRC), University of Connecticut, Storrs, CT, United States., McCandliss BD; Graduate School of Education, Stanford University, Stanford, CA, United States., Mishra J; Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.; Neural Engineering & Translation Labs, University of California San Diego, La Jolla, CA, United States., Rosenberg-Lee M; Department of Psychology, Rutgers University, Newark, NJ, United States., Gazzaley A; Neuroscape, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.; Department of Psychiatry and Physiology, University of California, San Francisco, San Francisco, CA, United States., Uncapher MR; Neuroscape, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.; Advanced Education Research and Development Fund, Oakland, CA, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in human neuroscience [Front Hum Neurosci] 2023 Jul 24; Vol. 17, pp. 1195013. Date of Electronic Publication: 2023 Jul 24 (Print Publication: 2023).
DOI:	10.3389/fnhum.2023.1195013
Abstrakt:	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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Younger, O’Laughlin, Anguera, Bunge, Ferrer, Hoeft, McCandliss, Mishra, Rosenberg-Lee, Gazzaley and Uncapher.)
Databáze:	MEDLINE
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