ReviewAddictive behaviors2023
Computational models of behavioral addictions: State of the art and future directions.
Review in Addictive behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Person, Affective, Cognitive, and Executive Dimensions Associated with Problematic Social Media Use, Internet Gaming Disorder, and Their Co-Occurrence in Young Adults.European journal of investigation in health, psychology and education · 2026Article
- You Pay, You Play? Understanding Loot Box Engagement, Demographic Profiles and Associations with Gambling and Gaming Disorder in Three Polish Studies.Journal of gambling studies · 2026Article
- Neural Reward Processing in Digital Addiction: A Dynamical Systems Theory of Reward Instability.Brain sciences · 2026Article
- Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Sex differences, perceived stress, gaming motives, and gambling-like attitudes toward loot-boxes predict risky loot box use among Polish gamers.Scientific reports · 2026Article
- Inhibitory control deficits in problematic short-form video users: evidence from drift diffusion model.BMC psychology · 2026Article
- The informational dysregulation framework of addiction (IDFA): an information-processing model of relapse in opioid use disorder.Frontiers in psychiatry · 2026Article
- Computational mechanisms underlying the impact of Pavlovian bias on instrumental learning in problematic social media users.Journal of behavioral addictions · 2025Article
- Understanding Altered Dynamics in Cocaine Use Disorder Through State Transitions Mediated by Artificial Perturbations.Brain sciences · 2025Article
- Network state dynamics underpin basal craving in a transdiagnostic population.Molecular psychiatry · 2025Article
- Societal spirits in the silver streak: Unraveling complexity in drinking habits of the mature adult population.Alcohol, clinical & experimental research · 2025Article
- Aberrant neural computation of social controllability in nicotine-dependent humans.Communications biology · 2024Article
- Aberrant neural computation of social controllability in nicotine-dependent humans.Research square · 2024Article
- Computational modeling of decision-making in substance abusers: testing Bechara's hypotheses.Frontiers in psychology · 2024Article
- Listening to the Data: Computational Approaches to Addiction and Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Review
- Network state dynamics underpin craving in a transdiagnostic population.medRxiv : the preprint server for health sciences · 2023Article
- Review
- The association of problematic usage of the internet with burnout, depression, insomnia, and quality of life among Hungarian high school students.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Non-pharmacological behavioral addictions, such as pathological gambling, videogaming, social networking, or internet use, are becoming major public health concerns. It is not yet clear how behavioral addictions could share many major neurobiological and behavioral characteristics with substance use disorders, despite the absence of direct pharmacological influences. A deeper understanding of the neurocognitive mechanisms of addictive behavior is needed, and computational modeling could be one promising approach to explain intricately entwined cognitive and neural dynamics. This review describes computational models of addiction based on reinforcement learning algorithms, Bayesian inference, and biophysical neural simulations. We discuss whether computational frameworks originally conceived to explain maladaptive behavior in substance use disorders can be effectively extended to non-substance-related behavioral addictions. Moreover, we introduce recent studies on behavioral addictions that exemplify the possibility of such extension and propose future directions.
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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.