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A cognitive process modeling framework for the ABCD study stop-signal task

The Adolescent Brain Cognitive Development (ABCD) Study is a longitudinal neuroimaging study of unprecedented scale that is in the process of following over 11,000 youth from middle childhood though age 20. However, a design feature of the study's stop-signal task violates "context indepen...

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Autores principales: Weigard, Alexander, Matzke, Dora, Tanis, Charlotte, Heathcote, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826813/
https://www.ncbi.nlm.nih.gov/pubmed/36603413
http://dx.doi.org/10.1016/j.dcn.2022.101191
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author Weigard, Alexander
Matzke, Dora
Tanis, Charlotte
Heathcote, Andrew
author_facet Weigard, Alexander
Matzke, Dora
Tanis, Charlotte
Heathcote, Andrew
author_sort Weigard, Alexander
collection PubMed
description The Adolescent Brain Cognitive Development (ABCD) Study is a longitudinal neuroimaging study of unprecedented scale that is in the process of following over 11,000 youth from middle childhood though age 20. However, a design feature of the study's stop-signal task violates "context independence", an assumption critical to current non-parametric methods for estimating stop-signal reaction time (SSRT), a key measure of inhibitory ability in the study. This has led some experts to call for the task to be changed and for previously collected data to be used with caution. We present a cognitive process modeling framework, the RDEX-ABCD model, that provides a parsimonious explanation for the impact of this design feature on “go” stimulus processing and successfully accounts for key behavioral trends in the ABCD data. Simulation studies using this model suggest that failing to account for the context independence violations in the ABCD design can lead to erroneous inferences in several realistic scenarios. However, we demonstrate that RDEX-ABCD effectively addresses these violations and can be used to accurately measure SSRT along with an array of additional mechanistic parameters of interest (e.g., attention to the stop signal, cognitive efficiency), advancing investigators’ ability to draw valid and nuanced inferences from ABCD data. AVAILABILITY OF DATA AND MATERIALS: Data from the ABCD Study are available through the NIH Data Archive (NDA): nda.nih.gov/abcd. Code for all analyses featured in this study is openly available on the Open Science Framework (OSF): osf.io/2h8a7/.
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spelling pubmed-98268132023-01-10 A cognitive process modeling framework for the ABCD study stop-signal task Weigard, Alexander Matzke, Dora Tanis, Charlotte Heathcote, Andrew Dev Cogn Neurosci Original Research The Adolescent Brain Cognitive Development (ABCD) Study is a longitudinal neuroimaging study of unprecedented scale that is in the process of following over 11,000 youth from middle childhood though age 20. However, a design feature of the study's stop-signal task violates "context independence", an assumption critical to current non-parametric methods for estimating stop-signal reaction time (SSRT), a key measure of inhibitory ability in the study. This has led some experts to call for the task to be changed and for previously collected data to be used with caution. We present a cognitive process modeling framework, the RDEX-ABCD model, that provides a parsimonious explanation for the impact of this design feature on “go” stimulus processing and successfully accounts for key behavioral trends in the ABCD data. Simulation studies using this model suggest that failing to account for the context independence violations in the ABCD design can lead to erroneous inferences in several realistic scenarios. However, we demonstrate that RDEX-ABCD effectively addresses these violations and can be used to accurately measure SSRT along with an array of additional mechanistic parameters of interest (e.g., attention to the stop signal, cognitive efficiency), advancing investigators’ ability to draw valid and nuanced inferences from ABCD data. AVAILABILITY OF DATA AND MATERIALS: Data from the ABCD Study are available through the NIH Data Archive (NDA): nda.nih.gov/abcd. Code for all analyses featured in this study is openly available on the Open Science Framework (OSF): osf.io/2h8a7/. Elsevier 2022-12-22 /pmc/articles/PMC9826813/ /pubmed/36603413 http://dx.doi.org/10.1016/j.dcn.2022.101191 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Weigard, Alexander
Matzke, Dora
Tanis, Charlotte
Heathcote, Andrew
A cognitive process modeling framework for the ABCD study stop-signal task
title A cognitive process modeling framework for the ABCD study stop-signal task
title_full A cognitive process modeling framework for the ABCD study stop-signal task
title_fullStr A cognitive process modeling framework for the ABCD study stop-signal task
title_full_unstemmed A cognitive process modeling framework for the ABCD study stop-signal task
title_short A cognitive process modeling framework for the ABCD study stop-signal task
title_sort cognitive process modeling framework for the abcd study stop-signal task
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826813/
https://www.ncbi.nlm.nih.gov/pubmed/36603413
http://dx.doi.org/10.1016/j.dcn.2022.101191
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