Plastic and stimulus-specific coding of salient events in the central amygdala

Tao Yang (), Kai Yu, Xian Zhang, Xiong Xiao, Xiaoke Chen, Yu Fu and Bo Li ()
Additional contact information
Tao Yang: Cold Spring Harbor Laboratory
Kai Yu: Cold Spring Harbor Laboratory
Xian Zhang: Cold Spring Harbor Laboratory
Xiong Xiao: Cold Spring Harbor Laboratory
Xiaoke Chen: Stanford University
Yu Fu: Agency for Science, Technology and Research (A*STAR)
Bo Li: Cold Spring Harbor Laboratory

Nature, 2023, vol. 616, issue 7957, 510-519

Abstract: Abstract The central amygdala (CeA) is implicated in a range of mental processes including attention, motivation, memory formation and extinction and in behaviours driven by either aversive or appetitive stimuli1–7. How it participates in these divergent functions remains elusive. Here we show that somatostatin-expressing (Sst+) CeA neurons, which mediate much of CeA functions3,6,8–10, generate experience-dependent and stimulus-specific evaluative signals essential for learning. The population responses of these neurons in mice encode the identities of a wide range of salient stimuli, with the responses of separate subpopulations selectively representing the stimuli that have contrasting valences, sensory modalities or physical properties (for example, shock and water reward). These signals scale with stimulus intensity, undergo pronounced amplification and transformation during learning, and are required for both reward and aversive learning. Notably, these signals contribute to the responses of dopamine neurons to reward and reward prediction error, but not to their responses to aversive stimuli. In line with this, Sst+ CeA neuron outputs to dopamine areas are required for reward learning, but are dispensable for aversive learning. Our results suggest that Sst+ CeA neurons selectively process information about differing salient events for evaluation during learning, supporting the diverse roles of the CeA. In particular, the information for dopamine neurons facilitates reward evaluation.

Date: 2023
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DOI: 10.1038/s41586-023-05910-2

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