A High-Dimensional Quantification of Mouse Defensive Behaviors Reveals Enhanced Diversity and Stimulus Specificity.
3D reconstruction
behavioral clustering
computational ethology
defensive behaviors
freezing
information theory
looming
statistical shape models
stimulus decoding
variable-order Markov chains
Journal
Current biology : CB
ISSN: 1879-0445
Titre abrégé: Curr Biol
Pays: England
ID NLM: 9107782
Informations de publication
Date de publication:
07 12 2020
07 12 2020
Historique:
received:
13
03
2020
revised:
06
07
2020
accepted:
03
09
2020
pubmed:
3
10
2020
medline:
24
8
2021
entrez:
2
10
2020
Statut:
ppublish
Résumé
Instinctive defensive behaviors, consisting of stereotyped sequences of movements and postures, are an essential component of the mouse behavioral repertoire. Since defensive behaviors can be reliably triggered by threatening sensory stimuli, the selection of the most appropriate action depends on the stimulus property. However, since the mouse has a wide repertoire of motor actions, it is not clear which set of movements and postures represent the relevant action. So far, this has been empirically identified as a change in locomotion state. However, the extent to which locomotion alone captures the diversity of defensive behaviors and their sensory specificity is unknown. To tackle this problem, we developed a method to obtain a faithful 3D reconstruction of the mouse body that enabled to quantify a wide variety of motor actions. This higher dimensional description revealed that defensive behaviors are more stimulus specific than indicated by locomotion data. Thus, responses to distinct stimuli that were equivalent in terms of locomotion (e.g., freezing induced by looming and sound) could be discriminated along other dimensions. The enhanced stimulus specificity was explained by a surprising diversity. A clustering analysis revealed that distinct combinations of movements and postures, giving rise to at least 7 different behaviors, were required to account for stimulus specificity. Moreover, each stimulus evoked more than one behavior, revealing a robust one-to-many mapping between sensations and behaviors that was not apparent from locomotion data. Our results indicate that diversity and sensory specificity of mouse defensive behaviors unfold in a higher dimensional space, spanning multiple motor actions.
Identifiants
pubmed: 33007242
pii: S0960-9822(20)31338-5
doi: 10.1016/j.cub.2020.09.007
pmc: PMC7728163
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4619-4630.e5Subventions
Organisme : Medical Research Council
ID : MR/N012992/1
Pays : United Kingdom
Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Interests The authors declare no competing interests.
Références
Elife. 2015 Oct 03;4:
pubmed: 26433022
Doc Ophthalmol. 2007 Nov;115(3):137-44
pubmed: 17479214
Trends Neurosci. 1989 Apr;12(4):137-47
pubmed: 2470171
Neuron. 2020 Aug 5;107(3):487-495.e9
pubmed: 32445624
Nat Methods. 2019 Jan;16(1):117-125
pubmed: 30573820
Curr Biol. 2019 Dec 2;29(23):4130-4138.e5
pubmed: 31761701
Neuron. 2015 May 6;86(3):755-67
pubmed: 25913860
Nat Rev Neurosci. 2008 Apr;9(4):292-303
pubmed: 18319728
Science. 2015 Jun 26;348(6242):1472-7
pubmed: 26113723
Nat Methods. 2010 Oct;7(10):825-6
pubmed: 20835246
Sci Rep. 2019 Jul 17;9(1):10396
pubmed: 31316114
Neuron. 2018 Oct 10;100(1):46-60.e7
pubmed: 30308171
Proc Natl Acad Sci U S A. 2001 Nov 20;98(24):13763-8
pubmed: 11698650
Neuron. 2015 Dec 16;88(6):1121-1135
pubmed: 26687221
Curr Opin Neurobiol. 2020 Feb;60:1-11
pubmed: 31791006
Nat Neurosci. 2009 Oct;12(10):1333-42
pubmed: 19767747
Curr Biol. 2018 Mar 19;28(6):859-871.e5
pubmed: 29502952
Nature. 2018 May;557(7704):183-189
pubmed: 29720647
Nat Commun. 2015 Apr 09;6:6756
pubmed: 25854147
J Neurophysiol. 2012 Oct;108(7):1810-21
pubmed: 22815402
Nat Commun. 2018 Mar 26;9(1):1232
pubmed: 29581428
Elife. 2018 Jun 26;7:
pubmed: 29943729
Proc Natl Acad Sci U S A. 2015 Sep 22;112(38):E5361-70
pubmed: 26354124
Prog Neurobiol. 1999 Oct;59(2):107-28
pubmed: 10463792
Neuron. 2017 Feb 8;93(3):480-490
pubmed: 28182904
J R Soc Interface. 2014 Oct 6;11(99):
pubmed: 25142523
Front Neuroinform. 2018 Nov 28;12:84
pubmed: 30546301
Proc Natl Acad Sci U S A. 1999 Mar 16;96(6):3257-62
pubmed: 10077671
Trends Cogn Sci. 2011 Dec;15(12):592-600
pubmed: 22055387
J Neurosci Methods. 2007 May 15;162(1-2):8-13
pubmed: 17254636
Curr Biol. 2020 Oct 19;30(20):3923-3934.e9
pubmed: 32795442
Vis Neurosci. 2000 Jul-Aug;17(4):509-28
pubmed: 11016572
Curr Biol. 2016 Aug 22;26(16):2150-4
pubmed: 27498569
Curr Biol. 2013 Oct 21;23(20):2011-5
pubmed: 24120636
Nat Neurosci. 2018 Sep;21(9):1281-1289
pubmed: 30127430
PLoS Comput Biol. 2020 Jan 24;16(1):e1007402
pubmed: 31978043
Curr Biol. 2016 Nov 21;26(22):3046-3052
pubmed: 27773567
Nature. 2018 Jun;558(7711):590-594
pubmed: 29925954
Cell. 2018 Jun 28;174(1):44-58.e17
pubmed: 29779950
Neuron. 2020 Jul 22;107(2):368-382.e8
pubmed: 32442399
Nat Commun. 2017 Mar 31;8:14908
pubmed: 28361990
Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):11943-11948
pubmed: 27702892
Neuron. 2019 Nov 6;104(3):576-587.e11
pubmed: 31519460
Nat Commun. 2018 Mar 20;9(1):1151
pubmed: 29559622
Elife. 2019 Oct 01;8:
pubmed: 31570119
Nature. 2016 Jun 01;534(7606):206-12
pubmed: 27279213
Nature. 2014 Apr 10;508(7495):207-14
pubmed: 24695228
Elife. 2019 Nov 21;8:
pubmed: 31750831
Neuron. 2019 Oct 9;104(1):11-24
pubmed: 31600508
Neuron. 2017 Aug 30;95(5):1171-1180.e7
pubmed: 28858619
Science. 2019 Apr 19;364(6437):
pubmed: 31000636
Curr Biol. 2017 May 8;27(9):1342-1349
pubmed: 28416117
Proc Natl Acad Sci U S A. 2018 Dec 11;115(50):E11817-E11826
pubmed: 30487225
Nat Neurosci. 2015 Jun;18(6):926
pubmed: 26007217
PLoS One. 2012;7(5):e35850
pubmed: 22586452
Psychopharmacology (Berl). 1981;75(2):198-203
pubmed: 6275443