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多巴胺能基因预测个体对确认偏误易感性的差异。

Dopaminergic genes predict individual differences in susceptibility to confirmation bias.

机构信息

Departments of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island 02912, USA.

出版信息

J Neurosci. 2011 Apr 20;31(16):6188-98. doi: 10.1523/JNEUROSCI.6486-10.2011.

Abstract

The striatum is critical for the incremental learning of values associated with behavioral actions. The prefrontal cortex (PFC) represents abstract rules and explicit contingencies to support rapid behavioral adaptation in the absence of cumulative experience. Here we test two alternative models of the interaction between these systems, and individual differences thereof, when human subjects are instructed with prior information about reward contingencies that may or may not be accurate. Behaviorally, subjects are overly influenced by prior instructions, at the expense of learning true reinforcement statistics. Computational analysis found that this pattern of data is best accounted for by a confirmation bias mechanism in which prior beliefs--putatively represented in PFC--influence the learning that occurs in the striatum such that reinforcement statistics are distorted. We assessed genetic variants affecting prefrontal and striatal dopaminergic neurotransmission. A polymorphism in the COMT gene (rs4680), associated with prefrontal dopaminergic function, was predictive of the degree to which participants persisted in responding in accordance with prior instructions even as evidence against their veracity accumulated. Polymorphisms in genes associated with striatal dopamine function (DARPP-32, rs907094, and DRD2, rs6277) were predictive of learning from positive and negative outcomes. Notably, these same variants were predictive of the degree to which such learning was overly inflated or neglected when outcomes are consistent or inconsistent with prior instructions. These findings indicate dissociable neurocomputational and genetic mechanisms by which initial biases are strengthened by experience.

摘要

纹状体对于与行为动作相关的价值的增量学习至关重要。前额叶皮层(PFC)代表抽象规则和明确的关联,以支持在没有累积经验的情况下快速的行为适应。在这里,我们测试了这两个系统之间的相互作用的两个替代模型,以及个体差异,当人类受试者被指示关于奖励关联的先验信息时,这些信息可能是准确的,也可能不准确。从行为上看,受试者受到先前指令的过度影响,而不是学习真实的强化统计数据。计算分析发现,这种数据模式最好由确认偏差机制来解释,在这种机制中,先前的信念——推测在 PFC 中表示——影响发生在纹状体中的学习,从而扭曲了强化统计数据。我们评估了影响前额叶和纹状体多巴胺能神经传递的遗传变异。COMT 基因(rs4680)的一个多态性与前额叶多巴胺能功能有关,它预测了参与者在证据积累的情况下,根据先前的指令坚持反应的程度。与纹状体多巴胺功能相关的基因(DARPP-32、rs907094 和 DRD2、rs6277)的多态性预测了从正、负结果中学习的能力。值得注意的是,当结果与先前的指令一致或不一致时,这些相同的变体也预测了这种学习被过度夸大或忽视的程度。这些发现表明,经验可以通过可分离的神经计算和遗传机制来加强初始偏差。

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