Heterogeneous Habenular Neuronal Ensembles during Selection of Defensive Behaviors.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_DF0D713E2559
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Heterogeneous Habenular Neuronal Ensembles during Selection of Defensive Behaviors.
Périodique
Cell reports
Auteur⸱e⸱s
Lecca S., Namboodiri VMK, Restivo L., Gervasi N., Pillolla G., Stuber G.D., Mameli M.
ISSN
2211-1247 (Electronic)
Statut éditorial
Publié
Date de publication
09/06/2020
Peer-reviewed
Oui
Volume
31
Numéro
10
Pages
107752
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Optimal selection of threat-driven defensive behaviors is paramount to an animal's survival. The lateral habenula (LHb) is a key neuronal hub coordinating behavioral responses to aversive stimuli. Yet, how individual LHb neurons represent defensive behaviors in response to threats remains unknown. Here, we show that in mice, a visual threat promotes distinct defensive behaviors, namely runaway (escape) and action-locking (immobile-like). Fiber photometry of bulk LHb neuronal activity in behaving animals reveals an increase and a decrease in calcium signal time-locked with runaway and action-locking, respectively. Imaging single-cell calcium dynamics across distinct threat-driven behaviors identify independently active LHb neuronal clusters. These clusters participate during specific time epochs of defensive behaviors. Decoding analysis of this neuronal activity reveals that some LHb clusters either predict the upcoming selection of the defensive action or represent the selected action. Thus, heterogeneous neuronal clusters in LHb predict or reflect the selection of distinct threat-driven defensive behaviors.
Mots-clé
calcium imaging, cluster analysis, defensive behaviors, lateral habenula
Pubmed
Open Access
Oui
Création de la notice
25/06/2020 17:10
Dernière modification de la notice
25/01/2024 8:45
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