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Dopamine and risky decision-making in pathological and problem gamblers

Published Web Location

https://www.eneuro.org/content/eneuro/7/3/ENEURO.0461-19.2020.full.pdf
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Abstract

AbstractGambling disorder is a behavioral addiction that is associated with impairments in value-based decision-making such as increased temporal discounting and reduced risk-aversion. Dopamine regulates learning and decision-making by modulating information processing throughout fronto-striatal circuits. Although the role of alterations in dopamine neurotransmission in the etiology of gambling disorder is controversial, preliminary evidence suggests that specifically increasing frontal dopamine levels might improve cognitive functioning in pathological and problem gamblers. We therefore examined whether increasing frontal dopamine levels via the catechol-O-methyltransferase (COMT) inhibitor tolcapone would reduce risky choice in a group of pathological and problem gamblers (n=14) in a repeated-measures counter-balanced placebo-controlled double-blind study. Choice data were fit using hierarchical Bayesian parameter estimation and a modeling scheme that combined a risky choice model with the drift diffusion model to account for both choices and response time distributions. Model comparison revealed that the data were best accounted for by a variant of the drift diffusion model with a non-linear modulation of trial-wise drift rates by value differences, confirming recent findings. Contrary to our hypothesis, risk-taking was slightly increased under tolcapone vs. placebo (Cohen’s d = −.281). Examination of drug effects on diffusion model parameters revealed an increase in the value-dependency of the drift rate (Cohen’s d = .932) with a simultaneous reduction in the maximum drift rate (Cohen’s d = −1.84). These results add to previous work on the potential role of COMT inhibitors in behavioral addictions, and show no consistent beneficial effect of tolcapone on risky choice in gambling disorder. Modeling results add to mounting evidence for the applicability of diffusion models in value-based decision-making. Future work should focus on individual genetic, clinical and cognitive factors that might account for the heterogeneity in the effects of COMT inhibition.

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