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中脑背侧多巴胺神经元调控恐惧相关的联想学习。

Dorsal tegmental dopamine neurons gate associative learning of fear.

机构信息

Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.

Institute of Physiology (Medical Faculty), and Center for Behavioral Brain Sciences (CBBS), Otto-von-Guericke University, Magdeburg, Germany.

出版信息

Nat Neurosci. 2018 Jul;21(7):952-962. doi: 10.1038/s41593-018-0174-5. Epub 2018 Jun 27.

Abstract

Functional neuroanatomy of Pavlovian fear has identified neuronal circuits and synapses associating conditioned stimuli with aversive events. Hebbian plasticity within these networks requires additional reinforcement to store particularly salient experiences into long-term memory. Here we have identified a circuit that reciprocally connects the ventral periaqueductal gray and dorsal raphe region with the central amygdala and that gates fear learning. We found that ventral periaqueductal gray and dorsal raphe dopaminergic (vPdRD) neurons encode a positive prediction error in response to unpredicted shocks and may reshape intra-amygdala connectivity via a dopamine-dependent form of long-term potentiation. Negative feedback from the central amygdala to vPdRD neurons might limit reinforcement to events that have not been predicted. These findings add a new module to the midbrain dopaminergic circuit architecture underlying associative reinforcement learning and identify vPdRD neurons as a critical component of Pavlovian fear conditioning. We propose that dysregulation of vPdRD neuronal activity may contribute to fear-related psychiatric disorders.

摘要

条件恐惧的功能神经解剖学已经确定了将条件刺激与厌恶事件相关联的神经元回路和突触。这些网络中的赫布可塑性需要额外的强化,以便将特别显著的经验存储到长期记忆中。在这里,我们已经确定了一个相互连接腹侧periaqueductal 灰色和背侧中缝区域与中央杏仁核的回路,并将门控恐惧学习。我们发现,腹侧periaqueductal 灰色和背侧中缝多巴胺能(vPdRD)神经元对未预测到的电击反应产生积极的预测误差,并且可以通过多巴胺依赖的形式的长时程增强来重塑内杏仁核的连接。来自中央杏仁核的负反馈可能会限制对未预测到的事件的强化。这些发现为关联强化学习的中脑多巴胺能回路结构增加了一个新的模块,并将 vPdRD 神经元鉴定为条件恐惧形成的关键组成部分。我们提出,vPdRD 神经元活动的失调可能导致与恐惧相关的精神障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7323/6166775/23fea8b25b66/emss-77850-f001.jpg

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