Dorsal periaqueductal gray ensembles represent approach and avoidance states
| Autor: | Mimi Q La-Vu, Juliane Midori Ikebara, Peter J Schuette, Alexandre Hiroaki Kihara, Fernando M. C. V. Reis, Sandra Maesta-Pereira, Meghmik Chakerian, Newton S. Canteras, Brooke C Tobias, Jinhan Liu, Avishek Adhikari, Johannes Y Lee, Jonathan C. Kao |
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| Rok vydání: | 2021 |
| Předmět: |
Male
0301 basic medicine Dorsum Elevated plus maze Mouse predator QH301-705.5 Science Short Report DORSO behavioral states Periaqueductal gray General Biochemistry Genetics and Molecular Biology Elevated Plus Maze Test Mice 03 medical and health sciences 0302 clinical medicine Avoidance Learning Animals elevated plus maze Biology (General) General Immunology and Microbiology General Neuroscience General Medicine Mice Inbred C57BL calcium imaging 030104 developmental biology periaqueductal gray fear Medicine Psychology Risk assessment Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP eLife, Vol 10 (2021) eLife |
| Popis: | Animals must balance needs to approach threats for risk assessment and to avoid danger. The dorsal periaqueductal gray (dPAG) controls defensive behaviors, but it is unknown how it represents states associated with threat approach and avoidance. We identified a dPAG threatavoidance ensemble in mice that showed higher activity farther from threats such as the open arms of the elevated plus maze and a predator. These cells were also more active during threat avoidance behaviors such as escape and freezing, even though these behaviors have antagonistic motor output. Conversely, the threat approach ensemble was more active during risk assessment behaviors and near threats. Furthermore, unsupervised methods showed that avoidance/approach states were encoded with shared activity patterns across threats. Lastly, the relative number of cells in each ensemble predicted threat avoidance across mice. Thus, dPAG ensembles dynamically encode threat approach and avoidance states, providing a flexible mechanism to balance risk assessment and danger avoidance. |
| Databáze: | OpenAIRE |
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