Angiotensin blockade enhances motivational reward learning via enhancing striatal prediction error signaling and frontostriatal communication

心理学 氯沙坦 神经科学 眶额皮质 血管紧张素II 前额叶皮质 医学 内科学 认知 受体
作者
Ting Xu,Xinqi Zhou,Jonathan W. Kanen,Lan Wang,Jialin Li,Zhiyi Chen,Ran Zhang,Guojuan Jiao,Feng Zhou,Weihua Zhao,Shuxia Yao,Benjamin Becker
出处
期刊:Molecular Psychiatry [Springer Nature]
卷期号:28 (4): 1692-1702 被引量:13
标识
DOI:10.1038/s41380-023-02001-6
摘要

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.
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