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基底外侧杏仁核驱动 GPCR 介导热传导纹状体记忆,该记忆对影响选择的预测性学习是必需的。

Basolateral Amygdala Drives a GPCR-Mediated Striatal Memory Necessary for Predictive Learning to Influence Choice.

机构信息

Decision Neuroscience Laboratory, School of Psychology, University of NSW, Sydney, NSW 2052, Australia.

Decision Neuroscience Laboratory, School of Psychology, University of NSW, Sydney, NSW 2052, Australia.

出版信息

Neuron. 2020 Jun 3;106(5):855-869.e8. doi: 10.1016/j.neuron.2020.03.007. Epub 2020 Apr 1.

Abstract

Predictive learning exerts a powerful influence over choice between instrumental actions. Nevertheless, how this learning is encoded in a sufficiently stable manner to influence choices that can occur much later in time is unclear. Here, we report that the basolateral amygdala (BLA) encodes predictive learning and establishes the memory necessary for future choices by driving the accumulation of delta-opioid receptors (DOPRs) on the somatic membrane of cholinergic interneurons in the nucleus accumbens shell (NAc-S). We found that the BLA controls DOPR accumulation via its influence on substance P release in the NAc-S, and that although DOPR accumulation is not necessary for predictive learning per se, it is necessary for the influence of this learning on later choice between actions. This study uncovers, therefore, a novel GPCR-based form of memory that is established by predictive learning and is necessary for such learning to guide the selection and execution of specific actions.

摘要

预测性学习对工具性动作之间的选择有很强的影响。然而,这种学习是如何以足够稳定的方式进行编码,从而影响以后时间发生的选择还不清楚。在这里,我们报告说,基底外侧杏仁核(BLA)通过驱动位于伏隔核壳部(NAc-S)胆碱能中间神经元体细胞膜上的δ-阿片受体(DOPR)的积累来编码预测性学习,并建立未来选择所需的记忆。我们发现,BLA 通过其对 NAc-S 中 P 物质释放的影响来控制 DOPR 的积累,尽管 DOPR 的积累本身对于预测性学习不是必需的,但对于这种学习对以后动作之间的选择的影响是必需的。因此,这项研究揭示了一种新的基于 GPCR 的记忆形式,它是通过预测性学习建立的,并且对于这种学习来指导特定动作的选择和执行是必要的。

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