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Anhedonic Traits Do Not Impair Performance in a 3-Arm Bandit Task
Arjun Ramaswamy1,2, Yumeya Yamamori3, Umesh Vivekananda3,4
1UCL Queen Square Institute of Neurology, London, UK.
Computational Psychiatry (Cambridge, Mass.)
|April 20, 2026
Summary
Anhedonia, characterized by reduced reward sensitivity, was investigated using a novel three-arm bandit task. This study found no significant differences in reinforcement learning (RL) parameters between anhedonic and non-anhedonic individuals, challenging previous associations.
Area of Science:
- Cognitive Neuroscience
- Computational Psychiatry
Background:
- Anhedonia, a core symptom of diminished reward sensitivity, is often associated with impaired reinforcement learning (RL).
- Standard RL tasks can be demanding and may conflate valuation with other cognitive processes.
Purpose of the Study:
- To adapt and validate a three-arm bandit (3AB) task for assessing RL in anhedonia.
- To investigate group differences in reward and punishment learning, and sensitivity between anhedonic and non-anhedonic individuals.
Main Methods:
- An online sample (N=206) pre-screened for anhedonia completed a 3AB task.
- Hierarchical Bayesian modeling was employed to estimate RL parameters.
- Model-agnostic strategies (win-stay/lose-shift) were also analyzed.
Main Results:
- No credible group differences were found in reward learning rate, punishment learning rate, reward sensitivity, or punishment sensitivity (Bayes factors favored the null).
- Win-stay/lose-shift strategies also showed no significant group differences.
- The computational model demonstrated good predictive accuracy, but parameter estimates did not differentiate groups.
Conclusions:
- Anhedonia, in this 3AB task, is not reliably linked to core RL parameter differences or simple choice strategies.
- The adapted 3AB task provides a robust measure of RL, with good model performance and parameter recovery.
- Further research may explore other factors contributing to anhedonia's heterogeneity.

