Dopamine prediction error signaling in a unique nigrostriatal circuit is critical for associative fear learning

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-03-29 DOI:10.1038/s41467-025-58382-5
Daphne Zafiri, Ximena I. Salinas-Hernández, Eloah S. De Biasi, Leonor Rebelo, Sevil Duvarci
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Abstract

Learning by experience that certain cues in the environment predict danger is crucial for survival. How dopamine (DA) circuits drive this form of associative learning is not fully understood. Here, in male mice, we demonstrate that DA neurons projecting to a unique subregion of the dorsal striatum, the posterior tail of the striatum (TS), encode a prediction error (PE) signal during associative fear learning. These DA neurons are necessary specifically during acquisition of fear learning, but not once the fear memory is formed, and are not required for forming cue-reward associations. Notably, temporally-precise inhibition or excitation of DA terminals in TS impairs or enhances fear learning, respectively. Furthermore, neuronal activity in TS is crucial for the acquisition of associative fear learning and learning-induced activity patterns in TS critically depend on DA input. Together, our results reveal that DA PE signaling in a non-canonical nigrostriatal circuit is important for driving associative fear learning.

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独特的黑质纹状体回路中的多巴胺预测错误信号对联想恐惧学习至关重要
从经验中学习到环境中的某些线索预示着危险,这对生存至关重要。多巴胺(DA)回路如何驱动这种形式的联想学习尚不完全清楚。在雄性小鼠中,我们证明了在联想恐惧学习过程中,投射到背纹状体的一个独特亚区,纹状体的后尾(TS)的DA神经元编码了一个预测误差(PE)信号。这些DA神经元在恐惧学习的习得过程中是必要的,但在恐惧记忆形成后就不是必要的,也不是形成线索-奖励联系所必需的。值得注意的是,在TS中,时间精确的DA终端抑制或兴奋分别损害或增强恐惧学习。此外,TS中的神经元活动对于联想恐惧学习的习得至关重要,并且TS中学习诱导的活动模式严重依赖于数据输入。总之,我们的研究结果表明,非典型黑质纹状体回路中的DA - PE信号对于驱动联想性恐惧学习很重要。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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