Heterogeneous Habenular Neuronal Ensembles during Selection of Defensive Behaviors.

Details

Ressource 1Download: 32521277_BIB_DF0D713E2559.pdf (20037.49 [Ko])
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_DF0D713E2559
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Heterogeneous Habenular Neuronal Ensembles during Selection of Defensive Behaviors.
Journal
Cell reports
Author(s)
Lecca S., Namboodiri VMK, Restivo L., Gervasi N., Pillolla G., Stuber G.D., Mameli M.
ISSN
2211-1247 (Electronic)
Publication state
Published
Issued date
09/06/2020
Peer-reviewed
Oui
Volume
31
Number
10
Pages
107752
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
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.
Keywords
calcium imaging, cluster analysis, defensive behaviors, lateral habenula
Pubmed
Open Access
Yes
Create date
25/06/2020 17:10
Last modification date
25/01/2024 8:45
Usage data