Angiotensin blockade enhances motivational reward learning via enhancing striatal prediction error signaling and frontostriatal communication
- 21 February 2023
- journal article
- research article
- Published by Springer Nature in Molecular Psychiatry
- Vol. 28 (4) , 1692-1702
Abstract
Adaptive human learning utilizes reward prediction errors (RPEs) that scale the differences between expected and actual outcomes to optimize future choices. Depression has been linked with biased RPE signaling and an exaggerated impact of negative outcomes on learning which may promote amotivation and anhedonia. The present proof-of-concept study combined computational modeling and multivariate decoding with neuroimaging to determine the influence of the selective competitive angiotensin II type 1 receptor antagonist losartan on learning from positive or negative outcomes and the underlying neural mechanisms in healthy humans. In a double-blind, between-subjects, placebo-controlled pharmaco-fMRI experiment, 61 healthy male participants (losartan, n = 30; placebo, n = 31) underwent a probabilistic selection reinforcement learning task incorporating a learning and transfer phase. Losartan improved choice accuracy for the hardest stimulus pair via increasing expected value sensitivity towards the rewarding stimulus relative to the placebo group during learning. Computational modeling revealed that losartan reduced the learning rate for negative outcomes and increased exploitatory choice behaviors while preserving learning for positive outcomes. These behavioral patterns were paralleled on the neural level by increased RPE signaling in orbitofrontal-striatal regions and enhanced positive outcome representations in the ventral striatum (VS) following losartan. In the transfer phase, losartan accelerated response times and enhanced VS functional connectivity with left dorsolateral prefrontal cortex when approaching maximum rewards. These findings elucidate the potential of losartan to reduce the impact of negative outcomes during learning and subsequently facilitate motivational approach towards maximum rewards in the transfer of learning. This may indicate a promising therapeutic mechanism to normalize distorted reward learning and fronto-striatal functioning in depression.Keywords
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Funding Information
- National Natural Science Foundation of China (32250610208)
This publication has 66 references indexed in Scilit:
- Dopamine restores reward prediction errors in old ageNature Neuroscience, 2013
- Dorsolateral Prefrontal Cortex Drives Mesolimbic Dopaminergic Regions to Initiate Motivated BehaviorThe Journal of Neuroscience, 2011
- Understanding dopamine and reinforcement learning: The dopamine reward prediction error hypothesisProceedings of the National Academy of Sciences, 2011
- Prefrontal Cortex Fails to Learn from Reward Prediction Errors in Alcohol DependenceJournal of Neuroscience, 2010
- Impulsive choice and response in dopamine agonist-related impulse control behaviorsPsychopharmacology, 2009
- Circular analysis in systems neuroscience: the dangers of double dippingNature Neuroscience, 2009
- Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learningProceedings of the National Academy of Sciences, 2007
- Menstrual cycle phase modulates reward-related neural function in womenProceedings of the National Academy of Sciences, 2007
- Dopamine-dependent prediction errors underpin reward-seeking behaviour in humansNature, 2006
- Clinical Pharmacokinetics of LosartanClinical Pharmacokinetics, 2005