l-DOPA and oxytocin influence the neurocomputational mechanisms of self-benefitting and prosocial reinforcement learning

Description: This collection contains fMRI data from a study in which healthy males received L-DOPA (100 mg + 25 mg carbidopa), intranasal oxytocin (24 IU), or placebo using a double-blind placebo-controlled cross-over design. In each session, participants performed a probabilistic reinforcement learning task with potential rewards for themselves, an anonymous other participant, or no one, during functional magnetic resonance imaging. Computational models of reinforcement learning were used to calculate prediction errors (PEs) and learning rates. Contrasts involve the factors drug (L-DOPA, oxytocin, placebo) and recipient (self, other, no one). (Note that paper links to https://identifiers.org/neurovault.collection:13141, but this collection was accidentally deleted.)

Related article: http://doi.org/10.1016/j.neuroimage.2023.119983