ArticleCurrent opinion in behavioral sciences2021
Computational theory-driven studies of reinforcement learning and decision-making in addiction: What have we learned?
Article in Current opinion in behavioral sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Neuroplasticity and recovery of the brain affected by substance use disorder: multilevel mechanisms and new therapeutic strategies (2020-2025).Frontiers in molecular neuroscience · 2026Pooled it
- Rapid and reliable computational markers of decision-making for predicting daily smoking behavior and smoking cessation treatment outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- A prospective co-twin control analysis of internalizing and externalizing pathways for alcohol, nicotine, and cannabis use problems from adolescence through adulthood.Psychological medicine · 2026Article
- Context-dependent asymmetries in intertemporal decision-making: a comparative study of substance use disorder and control groups.Substance abuse treatment, prevention, and policy · 2026Article
- Threading the Needle: Practical Considerations for Merging Theory-Driven Computational Psychiatry With Data-Driven Analytics to Enhance Precision Health at Scale.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Review
- The effect of 6 Hz transcranial alternating current stimulation over the prefrontal cortex on reward learning in men with methamphetamine use disorder: A pilot randomised double-blind trial.General psychiatry · 2026Article
- Personalizing ecological momentary intervention for substance use disorders through data-driven decision rules.Frontiers in psychiatry · 2026Review
- Forward Planning in a Population-Based Alcohol Use Disorder Sample.Addiction biology · 2025Article
- Computational mechanisms underlying the impact of Pavlovian bias on instrumental learning in problematic social media users.Journal of behavioral addictions · 2025Article
- Computational mechanisms underlying multi-step planning deficits in methamphetamine use disorder.Translational psychiatry · 2025Article
- Article
- An experimental and computational investigation of executive functions and inner speech in schizophrenia spectrum disorders.Scientific reports · 2025Article
- Dissociating social reward learning and behavior in alcohol use disorder.Translational psychiatry · 2025Article
- Impact of provoked stress on model-free and model-based reinforcement learning in individuals with alcohol use disorder.Addictive behaviors reports · 2024Article
- Computational Mechanisms Underlying Multi-Step Planning Deficits in Methamphetamine Use Disorder.medRxiv : the preprint server for health sciences · 2024Article
- Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction.Biological psychiatry · 2024Article
- A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals.Cognitive, affective & behavioral neuroscience · 2024Article
- Benchmarking Mental Health Status Using Passive Sensor Data: Protocol for a Prospective Observational Study.JMIR research protocols · 2024Article
- Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder.Journal of behavioral addictions · 2024Article
- The utility of a latent-cause framework for understanding addiction phenomena.Addiction neuroscience · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Computational psychiatry provides a powerful new approach for linking the behavioral manifestations of addiction to their precise cognitive and neurobiological substrates. However, this emerging area of research is still limited in important ways. While research has identified features of reinforcement learning and decision-making in substance users that differ from health, less emphasis has been placed on capturing addiction cycles/states dynamically, within-person. In addition, the focus on few behavioral variables at a time has precluded more detailed consideration of related processes and heterogeneous clinical profiles. We propose that a longitudinal and multidimensional examination of value-based processes, a type of dynamic "computational fingerprint", will provide a more complete understanding of addiction as well as aid in developing better tailored and timed interventions.
Identifiers
What OpenQuestion holds
Registered trials
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.