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Abstract
The ability to learn about other people is crucial for human social functioning. Dopamine has been proposed to regulate the precision of beliefs, but direct behavioural evidence of this is lacking. In this study, we investigate how a high dose of the D2/D3 dopamine receptor antagonist sulpiride impacts learning about other people’s prosocial attitudes in a repeated Trust game. Using a Bayesian model of belief updating, we show that in a sample of 76 male participants sulpiride increases the volatility of beliefs, which leads to higher precision weights on prediction errors. This effect is driven by participants with genetically conferred higher dopamine availability (Taq1a polymorphism) and remains even after controlling for working memory performance. Higher precision weights are reflected in higher reciprocal behaviour in the repeated Trust game but not in single-round Trust games. Our data provide evidence that the D2 receptors are pivotal in regulating prediction error-driven belief updating in a social context.
Inferring other people’s intentions from their actions is essential for successful social engagement. Here, the authors show that in social contexts, dopamine D2 receptors are important in regulating uncertainty-driven belief updating.
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1 Faculty of Psychology, University of Vienna, Department of Cognition, Emotion, and Methods in Psychology, Vienna, Austria (GRID:grid.10420.37) (ISNI:0000 0001 2286 1424); Aarhus University, Interacting Minds Centre, Aarhus, Denmark (GRID:grid.7048.b) (ISNI:0000 0001 1956 2722)
2 Faculty of Psychology, University of Vienna, Department of Cognition, Emotion, and Methods in Psychology, Vienna, Austria (GRID:grid.10420.37) (ISNI:0000 0001 2286 1424); University of Cambridge, Behavioural and Clinical Neuroscience Institute and Department of Psychology, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934)
3 Aarhus University, Interacting Minds Centre, Aarhus, Denmark (GRID:grid.7048.b) (ISNI:0000 0001 1956 2722); University of Zurich and ETH Zurich, Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy (GRID:grid.5970.b) (ISNI:0000 0004 1762 9868)
4 University of British, Columbia, Centre for Gambling Research at UBC, Department of Psychology, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
5 University of Cambridge, Behavioural and Clinical Neuroscience Institute and Department of Psychology, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); Health & Community Services, Government of Jersey, Adult Neurodevelopmental Services, St Helier, Jersey (GRID:grid.5335.0)
6 University of Cambridge, Behavioural and Clinical Neuroscience Institute and Department of Psychology, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934)
7 Faculty of Psychology, University of Vienna, Department of Cognition, Emotion, and Methods in Psychology, Vienna, Austria (GRID:grid.10420.37) (ISNI:0000 0001 2286 1424)
8 University of Durham, Department of Economics, Durham, UK (GRID:grid.8250.f) (ISNI:0000 0000 8700 0572)