ArticleeLife2021
Design issues and solutions for stop-signal data from the Adolescent Brain Cognitive Development (ABCD) study.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Has stopping stopped making sense? Disentangling the processes elicited by complex action cancellation paradigms.Cognitive, affective & behavioral neuroscience · 2026Review
- Cognitive Process Models Reveal Meaningful Brain-Behavior Associations in the Adolescent Brain Cognitive Development Study Stop-signal Task.Journal of cognitive neuroscience · 2026Article
- Impulse Control in Focus: Rethinking Impulsivity in Youth With Attention-Deficit/Hyperactivity Disorder.JAACAP open · 2026Article
- Are executive function and neuroanatomy in ADHD modulated by bilingualism?bioRxiv : the preprint server for biology · 2026Article
- Inhibitory control-related neural pathways of early adversity to internalizing problems in preadolescence.Journal of affective disorders · 2026Article
- Nonergodicity and Simpson's paradox in neurocognitive dynamics of cognitive control.Nature communications · 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
- Inhibition-related connectivity predicts irritability risk and resilience across early adolescence.Social cognitive and affective neuroscience · 2026Article
- The prospect of suicide biomarkers: from neurobiology to precision prevention.Frontiers in psychology · 2026Review
- Neurobehavioral correlates of inhibitory control in youth at-risk for early low-level alcohol use initiation: neuroimaging findings from the ABCD study.Frontiers in psychiatry · 2026Article
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- Multilevel Correlates of Youth Delinquent Behaviors: An Exploratory Analysis of Socioeconomic Context, Psychological Traits, and Task-Based Neural Activation in the ABCD Study.Social science insights and applications · 2025Article
- Childhood Depression, Hopelessness, and Suicidal Attempt Predict Earlier Tobacco and Marijuana Use Initiation During Adolescence.Open journal of medical sciences · 2025Article
- Ventral Attention Network Resting State Functional Connectivity: Psychosocial Correlates among US Adolescents.Journal of biomedical and life sciences · 2025Article
- Cingulate Gyrus Volume as a Mediator of the Social Gradient in Cognitive Function.Journal of cellular neuroscience · 2025Article
- Extreme Heat Exposure is Associated with Lower Learning, General Cognitive Ability, and Memory among US Children.Open journal of neuroscience · 2025Article
- Psychosocial Correlates of Childhood Body Mass Index: Racial and Ethnic Differences.Global journal of cardiovascular diseases · 2025Article
- Too Much Heat May Make You Smoke.Global journal of cardiovascular diseases · 2025Article
- Extreme Heat Exposure and Adolescent Cognitive Function.Open journal of neuroscience · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Adolescent Brain Cognitive Development (ABCD) study is an unprecedented longitudinal neuroimaging sample that tracks the brain development of over 9-10 year olds through adolescence. At the core of this study are the three tasks that are completed repeatedly within the MRI scanner, one of which is the stop-signal task. In analyzing the available stopping experimental code and data, we identified a set of design issues that we believe significantly compromise its value. These issues include but are not limited to variable stimulus durations that violate basic assumptions of dominant stopping models, trials in which stimuli are incorrectly not presented, and faulty stop-signal delays. We present eight issues, show their effect on the existing ABCD data, suggest prospective solutions including task changes for future data collection and preliminary computational models, and suggest retrospective solutions for data users who wish to make the most of the existing data.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.