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Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder
DC Field | Value | Language |
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dc.contributor.author | Kwon, Mina | - |
dc.contributor.author | Choi, Hangnyoung | - |
dc.contributor.author | Park, Harhim | - |
dc.contributor.author | Ahn, Woo-Young | - |
dc.contributor.author | Jung, Young-Chul | - |
dc.date.accessioned | 2024-05-16T01:43:38Z | - |
dc.date.available | 2024-05-16T01:43:38Z | - |
dc.date.created | 2024-04-17 | - |
dc.date.created | 2024-04-17 | - |
dc.date.created | 2024-04-17 | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Journal of behavioral addictions, Vol.13 No.1, pp.236-249 | - |
dc.identifier.issn | 2062-5871 | - |
dc.identifier.uri | https://hdl.handle.net/10371/202797 | - |
dc.description.abstract | Background: 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.language | 영어 | - |
dc.publisher | Akademiai Kiado | - |
dc.title | Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder | - |
dc.type | Article | - |
dc.identifier.doi | 10.1556/2006.2024.00006 | - |
dc.citation.journaltitle | Journal of behavioral addictions | - |
dc.identifier.scopusid | 2-s2.0-85189191889 | - |
dc.citation.endpage | 249 | - |
dc.citation.number | 1 | - |
dc.citation.startpage | 236 | - |
dc.citation.volume | 13 | - |
dc.description.isOpenAccess | Y | - |
dc.contributor.affiliatedAuthor | Ahn, Woo-Young | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordAuthor | alcohol use disorder | - |
dc.subject.keywordAuthor | computational modeling | - |
dc.subject.keywordAuthor | internet gaming disorder | - |
dc.subject.keywordAuthor | model-based behavior | - |
dc.subject.keywordAuthor | salience network | - |
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