ArticleDevelopmental cognitive neuroscience2023
A cognitive process modeling framework for the ABCD study stop-signal task.
Article in Developmental cognitive neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Less systematic decision-making during delay discounting, but not discounting rate, is robustly linked to psychopathology.Journal of psychopathology and clinical science · 2026Article
- Reproducible Temperament Profiles in Adolescents With Attention-Deficit/Hyperactivity Disorder Prospectively Predict Clinical Outcomes.Clinical psychological science : a journal of the Association for Psychological Science · 2026Article
- Stimulation success!? Improved response inhibition performance after prefrontal single-site and condition-and-perturb transcranial magnetic stimulation.Cognitive, affective & behavioral neuroscience · 2026Article
- Cognitive Process Models Reveal Meaningful Brain-Behavior Associations in the Adolescent Brain Cognitive Development Study Stop-signal Task.Journal of cognitive neuroscience · 2026Article
- Model-based analysis of stop-signal data reveals robust neural and clinical correlates of evidence accumulation but not inhibition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- The diffusion model's drift rate parameter primarily reflects efficiency, rather than speed, of evidence accumulation.Psychonomic bulletin & review · 2026Article
- Dissociable Contributions of Goal-Relevant Evidence and Goal-Irrelevant Familiarity to Individual and Developmental Differences in Conflict Recognition.Cognitive science · 2024Article
- Flexible adaptation of task-positive brain networks predicts efficiency of evidence accumulation.Communications biology · 2024Article
- Towards Dependent Race Models for the Stop-Signal Paradigm: The Copula Approach.Computational brain & behavior · 2024Article
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4 authors.
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Abstract
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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