Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala

IF 21.2 1区 医学 Q1 NEUROSCIENCES Nature neuroscience Pub Date : 2024-06-13 DOI:10.1038/s41593-024-01676-6
Marios Abatis, Rodrigo Perin, Ruifang Niu, Erwin van den Burg, Chloe Hegoburu, Ryang Kim, Michiko Okamura, Haruhiko Bito, Henry Markram, Ron Stoop
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Abstract

The lateral amygdala (LA) encodes fear memories by potentiating sensory inputs associated with threats and, in the process, recruits 10–30% of its neurons per fear memory engram. However, how the local network within the LA processes this information and whether it also plays a role in storing it are still largely unknown. Here, using ex vivo 12-patch-clamp and in vivo 32-electrode electrophysiological recordings in the LA of fear-conditioned rats, in combination with activity-dependent fluorescent and optogenetic tagging and recall, we identified a sparsely connected network between principal LA neurons that is organized in clusters. Fear conditioning specifically causes potentiation of synaptic connections between learning-recruited neurons. These findings of synaptic plasticity in an autoassociative excitatory network of the LA may suggest a basic principle through which a small number of pyramidal neurons could encode a large number of memories. A sparsely connected network, organized in clusters, identified in the rat lateral amygdala shows potentiation between recruited neurons after fear conditioning. This implies a mechanism for encoding multiple memories with a small number of neurons.

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恐惧学习会诱导大鼠外侧杏仁核中刻画神经元之间的突触电位增强
外侧杏仁核(LA)通过增强与威胁相关的感觉输入来编码恐惧记忆,在此过程中,每个恐惧记忆片段会招募 10-30% 的神经元。然而,LA 内部的局部网络是如何处理这些信息的,以及它是否也在存储这些信息方面发挥作用,这些问题在很大程度上仍是未知数。在这里,我们使用体外 12 片钳和体内 32 个电极对恐惧条件反射大鼠的 LA 进行电生理记录,并结合活动依赖性荧光和光遗传标记和召回,确定了 LA 主要神经元之间以簇为单位的稀疏连接网络。恐惧调理特异性地引起了学习招募神经元之间突触连接的电位增强。这些关于LA自身兴奋网络中突触可塑性的发现可能暗示了一个基本原理,即少量锥体神经元可以编码大量记忆。
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来源期刊
Nature neuroscience
Nature neuroscience 医学-神经科学
CiteScore
38.60
自引率
1.20%
发文量
212
审稿时长
1 months
期刊介绍: Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority. The journal offers high visibility to both readers and authors, fostering interdisciplinary communication and accessibility to a broad audience. It maintains high standards of copy editing and production, rigorous peer review, rapid publication, and operates independently from academic societies and other vested interests. In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.
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