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Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder

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dc.contributor.authorKwon, Mina-
dc.contributor.authorChoi, Hangnyoung-
dc.contributor.authorPark, Harhim-
dc.contributor.authorAhn, Woo-Young-
dc.contributor.authorJung, Young-Chul-
dc.date.accessioned2024-05-16T01:43:38Z-
dc.date.available2024-05-16T01:43:38Z-
dc.date.created2024-04-17-
dc.date.created2024-04-17-
dc.date.created2024-04-17-
dc.date.issued2024-
dc.identifier.citationJournal of behavioral addictions, Vol.13 No.1, pp.236-249-
dc.identifier.issn2062-5871-
dc.identifier.urihttps://hdl.handle.net/10371/202797-
dc.description.abstractBackground: An imbalance between model-based and model-free decision-making systems is a common feature in addictive disorders. However, little is known about whether similar decision-making deficits appear in internet gaming disorder (IGD). This study compared neurocognitive features associated with model-based and model-free systems in IGD and alcohol use disorder (AUD). Method: Participants diagnosed with IGD (n = 22) and AUD (n = 22), and healthy controls (n = 30) performed the two-stage task inside the functional magnetic resonance imaging (fMRI) scanner. We used computational modeling and hierarchical Bayesian analysis to provide a mechanistic account of their choice behavior. Then, we performed a model-based fMRI analysis and functional connectivity analysis to identify neural correlates of the decision-making processes in each group. Results: The computational modeling results showed similar levels of model-based behavior in the IGD and AUD groups. However, we observed distinct neural correlates of the model-based reward prediction error (RPE) between the two groups. The IGD group exhibited insula-specific activation associated with model-based RPE, while the AUD group showed prefrontal activation, particularly in the orbitofrontal cortex and superior frontal gyrus. Furthermore, individuals with IGD demonstrated hyper-connectivity between the insula and brain regions in the salience network in the context of model-based RPE. Discussion and Conclusions: The findings suggest potential differences in the neurobiological mechanisms underlying model-based behavior in IGD and AUD, albeit shared cognitive features observed in computational modeling analysis. As the first neuroimaging study to compare IGD and AUD in terms of the model-based system, this study provides novel insights into distinct decision-making processes in IGD.-
dc.language영어-
dc.publisherAkademiai Kiado-
dc.titleNeural correlates of model-based behavior in internet gaming disorder and alcohol use disorder-
dc.typeArticle-
dc.identifier.doi10.1556/2006.2024.00006-
dc.citation.journaltitleJournal of behavioral addictions-
dc.identifier.scopusid2-s2.0-85189191889-
dc.citation.endpage249-
dc.citation.number1-
dc.citation.startpage236-
dc.citation.volume13-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorAhn, Woo-Young-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordAuthoralcohol use disorder-
dc.subject.keywordAuthorcomputational modeling-
dc.subject.keywordAuthorinternet gaming disorder-
dc.subject.keywordAuthormodel-based behavior-
dc.subject.keywordAuthorsalience network-
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Related Researcher

  • College of Social Sciences
  • Department of Psychology
Research Area Addiction, computational neuroscience, decision neuroscience, 계산 신경과학, 의사결정 신경과학, 중독

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