ArticlePsychopharmacology2021
Evidence accumulation and associated error-related brain activity as computationally-informed prospective predictors of substance use in emerging adulthood.
Article in Psychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 22 citations in OpenAlex.
- Cognitive Process Models Reveal Meaningful Brain-Behavior Associations in the Adolescent Brain Cognitive Development Study Stop-signal Task.Journal of cognitive neuroscience · 2026Article
- Childhood Material Hardship Linked to Adolescent Neurocognition: A Computational Modeling Approach.Developmental science · 2026Article
- Sex Differences in the Association Between Drinking Motives, Protective Behavioral Strategies, and Alcohol Outcomes in a Hazardous Drinking College Sample.Substance use & misuse · 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
- Inhibitory control deficits in problematic short-form video users: evidence from drift diffusion model.BMC psychology · 2026Article
- Sex differences in the prospective association of excessively long reaction times and hazardous cannabis use at six months.Addictive behaviors reports · 2024Article
- Dissociable Contributions of Goal-Relevant Evidence and Goal-Irrelevant Familiarity to Individual and Developmental Differences in Conflict Recognition.Cognitive science · 2024Article
- Sex differences in distributed error-related neural activation in problem-drinking young adults.Drug and alcohol dependence · 2024Article
- Preadolescent externalizing and internalizing symptoms are differentially related to drift-diffusion model parameters and neural activation during a go/no-go task.Journal of psychiatric research · 2024Article
- Higher substance use is associated with low executive control neural activity and higher inflammation.Brain, behavior, and immunity · 2024Article
- Flexible adaptation of task-positive brain networks predicts efficiency of evidence accumulation.Communications biology · 2024Article
- Clarifying the longitudinal factor structure, temporal stability, and construct validity of Go/No-Go task-related neural activation across adolescence and young adulthood.Developmental cognitive neuroscience · 2024Article
- Neural Correlates of the p Factor in Adolescence: Cognitive Control With and Without Enhanced Positive Affective Demands.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Candidate biomarkers in psychiatric disorders: state of the field.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- Article
- Characterizing the Neural Correlates of Response Inhibition and Error Processing in Children With Symptoms of Irritability and/or Attention-Deficit/Hyperactivity Disorder in the ABCD Study®.Frontiers in psychiatry · 2022Article
- Task-general efficiency of evidence accumulation as a computationally-defined neurocognitive trait: Implications for clinical neuroscience.Biological psychiatry global open science · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
rationaleSubstance use peaks during the developmental period known as emerging adulthood (ages 18-25), but not every individual who uses substances during this period engages in frequent or problematic use. Although individual differences in neurocognition appear to predict use severity, mechanistic neurocognitive risk factors with clear links to both behavior and neural circuitry have yet to be identified. Here, we aim to do so with an approach rooted in computational psychiatry, an emerging field in which formal models are used to identify candidate biobehavioral dimensions that confer risk for psychopathology.
objectivesWe test whether lower efficiency of evidence accumulation (EEA), a computationally characterized individual difference variable that drives performance on the go/no-go and other neurocognitive tasks, is a risk factor for substance use in emerging adults. METHODS AND
resultsIn an fMRI substudy within a sociobehavioral longitudinal study (n = 106), we find that lower EEA and reductions in a robust neural-level correlate of EEA (error-related activations in salience network structures) measured at ages 18-21 are both prospectively related to greater substance use during ages 22-26, even after adjusting for other well-known risk factors. Results from Bayesian model comparisons corroborated inferences from conventional hypothesis testing and provided evidence that both EEA and its neuroimaging correlates contain unique predictive information about substance use involvement.
conclusionsThese findings highlight EEA as a computationally characterized neurocognitive risk factor for substance use during a critical developmental period, with clear links to both neuroimaging measures and well-established formal theories of brain function.
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