Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Computational analysis of probabilistic reversal learning deficits in male subjects with alcohol use disorder

Bibliographic Data

ID15516478
AuthorsBaşak Bağcı (0000-0001-6947-6240, Izmir Kâtip Çelebi University), Başak Bağci, Selin Düsmez (Sivas State Hospital), Nabi Zorlu (0000-0002-2340-6156, Izmir Kâtip Çelebi University), Gökhan Bahtiyar (Bingöl University), Serhan Işıklı (0000-0003-0714-6371, Izmir Kâtip Çelebi University), Serhan Isikli, Adem Bayrakçı (0000-0002-5131-1824, Izmir Kâtip Çelebi University), Adem Bayrakci, Andreas Heinz (0000-0001-5405-9065, Charité - Universitätsmedizin Berlin), Daniel J Schad (0000-0003-2586-6823), Miriam Sebold (0000-0002-6006-3201, Charité - Universitätsmedizin Berlin, corresponding author)
Year2022
Volume13
Pages960238-960238
Publication date2022-10-19
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.960238
PMID36339830
OpenAlexW4306755836
LanguageEN
Citations received2
References cited77

Our data do not support the assumption that AUDP are characterized by increased perseveration behavior. Instead our findings provide evidence that enhanced negative reinforcement and decreased non-drug-related reward learning as well as diminished choice consistency underlie dysfunctional choice behavior in AUDP

Addiction · Cognition · Cognitive flexibility · Cognitive psychology · Developmental psychology · Dysfunctional family · Perseveration · Psychiatry · Punishment (psychology · Behavioral and Psychological Studies · Behavioral Health and Interventions · Clinical Psychology · Mental Health Research Topics · Psychology

  • Altered uncertainty processing during adaptive learning in internet gaming disorder

    Open Access•Yi-Xu Pang, Lei Zhang et al.•Computers in Human Behavior•2026

  • Methylphenidate as a treatment option for substance use disorder

    Open Access•Peter van Ruitenbeek, Luisa Franzen et al.•Frontiers in Psychiatry•2023

  • Drug Addiction

    Barry J Everitt, Trevor W Robbins•Annual Review of Psychology•2016

  • Reinforcement Learning

    Open Access•Richard S Sutton, A G Barto et al.•IEEE Transactions on Neural…•1998

  • Neurobiologic Advances from the Brain Disease Model of Addiction

    Nora D Volkow, George F Koob et al.•New England Journal of Medicine•2016

  • Practical Bayesian model evaluation using leave-one-out cross-validation and Waic

    Open Access•Aki Vehtari, Andrew Gelman et al.•Statistics and Computing•2017

  • Predictive Reward Signal of Dopamine Neurons

    Wolfram Schultz•Journal of Neurophysiology•1998

  • Neural systems of reinforcement for drug addiction

    Open Access•Barry J Everitt, Trevor W Robbins•Nature Neuroscience•2005

  • Insensitivity to future consequences following damage to human prefrontal cortex

    Open Access•Antoine Bechara, Antonio R Damasio et al.•Cognition•1994

  • Neurobiology of addiction

    Open Access•George F Koob, Nora D Volkow•The Lancet Psychiatry•2016

  • Least-Squares Means

    Open Access•Russell V Lenth•Journal of Statistical Software•2016

  • Fitting Linear Mixed-Effects Models Using lme4

    Open Access•David M Bates, Douglas Bates et al.•Journal of Statistical Software•2015

  • Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder

    Open Access•Maria F Jara‐Rizzo, Juan F Navas et al.•BMC Psychology•2020

  • Probabilistic Reversal Learning Deficits in Patients With Methamphetamine Use Disorder—A Longitudinal Pilot Study

    Open Access•Maximilian Pilhatsch, Shakoor Pooseh et al.•Frontiers in Psychiatry•2020

Citations per year0.67
Citation span2023 - 2026 (4)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae