1. Understanding the neural code of stress to control anhedonia.
- Author
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Xia F, Fascianelli V, Vishwakarma N, Ghinger FG, Kwon A, Gergues MM, Lalani LK, Fusi S, and Kheirbek MA
- Subjects
- Animals, Mice, Male, Resilience, Psychological, Neurons physiology, Mice, Inbred C57BL, Rest physiology, Anhedonia physiology, Basolateral Nuclear Complex physiology, Stress, Psychological physiopathology, Reward, CA1 Region, Hippocampal physiology
- Abstract
Anhedonia, the diminished drive to seek, value, and learn about rewards, is a core feature of major depressive disorder
1-3 . The neural underpinnings of anhedonia and how this emotional state drives behaviour remain unclear. Here we investigated the neural code of anhedonia by taking advantage of the fact that when mice are exposed to traumatic social stress, susceptible animals become socially withdrawn and anhedonic, whereas others remain resilient. By performing high-density electrophysiology to record neural activity patterns in the basolateral amygdala (BLA) and ventral CA1 (vCA1), we identified neural signatures of susceptibility and resilience. When mice actively sought rewards, BLA activity in resilient mice showed robust discrimination between reward choices. By contrast, susceptible mice exhibited a rumination-like signature, in which BLA neurons encoded the intention to switch or stay on a previously chosen reward. Manipulation of vCA1 inputs to the BLA in susceptible mice rescued dysfunctional neural dynamics, amplified dynamics associated with resilience, and reversed anhedonic behaviour. Finally, when animals were at rest, the spontaneous BLA activity of susceptible mice showed a greater number of distinct neural population states. This spontaneous activity allowed us to decode group identity and to infer whether a mouse had a history of stress better than behavioural outcomes alone. This work reveals population-level neural dynamics that explain individual differences in responses to traumatic stress, and suggests that modulating vCA1-BLA inputs can enhance resilience by regulating these dynamics., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)- Published
- 2025
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