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

Authors
 Mina Kwon  ;  Hangnyoung Choi  ;  Harhim Park  ;  Woo-Young Ahn  ;  Young-Chul Jung 
Citation
 JOURNAL OF BEHAVIORAL ADDICTIONS, Vol.13(1) : 236-249, 2024-03 
Journal Title
JOURNAL OF BEHAVIORAL ADDICTIONS
ISSN
 2062-5871 
Issue Date
2024-03
MeSH
Alcoholism* ; Bayes Theorem ; Behavior, Addictive* ; Brain ; Brain Mapping ; Humans ; Internet ; Internet Addiction Disorder ; Magnetic Resonance Imaging ; Video Games*
Keywords
alcohol use disorder ; computational modeling ; internet gaming disorder ; model-based behavior ; salience network
Abstract
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 5 22) and AUD (n 5 22), and healthy controls (n 5 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.
Files in This Item:
T202402761.pdf Download
DOI
10.1556/2006.2024.00006
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Jung, Young Chul(정영철) ORCID logo https://orcid.org/0000-0002-0578-2510
Choi, Hangnyoung(최항녕)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/199224
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