ArticleJournal of behavioral addictions2023
Reduced loss aversion in value-based decision-making and edge-centric functional connectivity in patients with internet gaming disorder.
Article in Journal of behavioral addictions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Altered Global and Local Network Organization in Exercise Dependence: Evidence from Graph Theory Analysis of Resting-state EEG.Brain topography · 2026Article
- Biomarkers of Internet Gaming Disorder-A Narrative Review.Journal of clinical medicine · 2024Review
- Sex differences of neural connectivity in internet gaming disorder and its association with sleep quality: an exploratory fMRI study.Frontiers in psychiatry · 2024Article
- Decision-making deficits in obsessive-compulsive disorder are associated with abnormality of recency and response consistency parameter in prospect valence learning model.Frontiers in psychiatry · 2023Article
- Distinct value-modulated connectomic signatures during monetary incentive anticipation predict severity and craving in internet gaming disorder.International journal of clinical and health psychology : IJCHPArticle
- Nonlinear associations between punishment sensitivity and problematic Internet use among adolescents: Results from cross-sectional and longitudinal analyses.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
17 authors.
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Abstract
Background and aims: Impaired value-based decision-making is a feature of substance and behavioral addictions. Loss aversion is a core of value-based decision-making and its alteration plays an important role in addiction. However, few studies explored it in internet gaming disorder patients (IGD). Methods: In this study, IGD patients (PIGD) and healthy controls (Con-PIGD) performed the Iowa gambling task (IGT), under functional magnetic resonance imaging (fMRI). We investigated group differences in loss aversion, brain functional networks of node-centric functional connectivity (nFC) and the overlapping community features of edge-centric functional connectivity (eFC) in IGT. Results: PIGD performed worse with lower average net score in IGT. The computational model results showed that PIGD significantly reduced loss aversion. There was no group difference in nFC. However, there were significant group differences in the overlapping community features of eFC1. Furthermore, in Con-PIGD, loss aversion was positively correlated with the edge community profile similarity of the edge2 between left IFG and right hippocampus at right caudate. This relationship was suppressed by response consistency3 in PIGD. In addition, reduced loss aversion was negatively correlated with the promoted bottom-to-up neuromodulation from the right hippocampus to the left IFG in PIGD. Discussion and conclusions: The reduced loss aversion in value-based decision making and their related edge-centric functional connectivity support that the IGD showed the same value-based decision-making deficit as the substance use and other behavioral addictive disorders. These findings may have important significance for understanding the definition and mechanism of IGD in the future.
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