Most rats prefer gambling opportunities featuring win-paired cues that drive risky choice: Synergistic interactions between choice of and choice during the cued rat gambling task

• Published in: Brain and neuroscience advances Vol. 9; p. 23982128251352235
• Main Authors: Hales, Claire A., Hrelja, Kelly M., Ansary, Sapeeda, Chong, Erin, Russell, Brittney, Winstanley, Catharine A.
• Format: Journal Article
• Language: English
• Published: United States SAGE Publications 01.01.2025
• Subjects: Research Paper; diffusion modelling; impulsivity; Rat gambling task; risky choice; decision-making; cues
• ISSN: 2398-2128; 2398-2128
• DOI: 10.1177/23982128251352235

Win-paired cues drive maladaptive decision-making in laboratory-based gambling tasks. However, humans prefer these cued games that facilitate gambling addiction. Whether rats prefer tasks that employ win-paired cues is unknown, yet this has consequences for the validity of using rodent models to investigate problem gambling. Here, we allowed rats to choose on a trial-by-trial basis whether to work for cued or uncued rewards on the rat gambling task. We also performed computational modelling to investigate individual differences in decision-making strategies. Rats could be grouped based on preference for task type, which became more pronounced across training, or preference for risky options, as is standard for the rat gambling task. Risk-preferring rats increasingly preferred the cued task over time. Decision-making was marginally riskier on cued trials, particularly in risk-preferring rats, but this was independent of task preference. Pairing of rewards with audiovisual cues accelerated response times and enhanced impulsivity in both cue- and risk-preferring rats. Cued wins also resulted in greater post-reinforcement pauses in risk-preferring animals only. Diffusion model analyses revealed optimal decision-makers have longer non-decision times before risky or impulsive choices, yet this is absent in risk-preferring animals. As such, lapses in cognitive control could be responsible for maladaptive trial outcomes in optimal, but not risk-preferring, rats. Collectively, these data support the use of high-risk preference at baseline as a proxy for vulnerability to problem gambling. Furthermore, diverse computational mechanisms could be responsible for the negative impact of win-paired cues on gambling-like behaviour in at-risk versus resilient individuals.