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Journal articles
Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning
Fabrice de Chaumont
1, *
Elodie Ey
2, *
Nicolas Torquet
3
Thibault Lagache
1
Stéphane Dallongeville
1
Albane Imbert
4
Thierry Legou
5
Anne-Marie Le Sourd
2
Philippe Faure
3
Thomas Bourgeron
2
Jean-Christophe Olivo-Marin
1, *
*
Corresponding author
Fabrice de Chaumont 1
Correspondent author
Elodie Ey 2
Correspondent author IdHAL : elodie-ey ORCID : https://orcid.org/0000-0002-8202-3163
Nicolas Torquet 3
Author IdHAL : nicolas-torquet ORCID : https://orcid.org/0000-0001-9032-193X
Thibault Lagache 1
Author IdHAL : thibault-lagache ORCID : https://orcid.org/0000-0002-7033-4677
Stéphane Dallongeville 1
Author
Albane Imbert 4
Author
Thierry Legou 5
Author
Anne-Marie Le Sourd 2
Author
Philippe Faure 3
Author
Thomas Bourgeron 2
Author IdHAL : thomas-bourgeron
Jean-Christophe Olivo-Marin 1
Correspondent author
1
BIA - Analyse d'images biologiques - Biological Image Analysis (Département Biologie cellulaire et Infection, 25-28, rue du docteur Roux, 75724 Paris Cedex 15 - France)
- Institut Pasteur [Paris] (25-28, rue du docteur Roux, 75724 Paris cedex 15 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR3691 (France)
2
GHFC (UMR_3571 / U-Pasteur_1) - Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (C3BI / Département de Neuroscience - 25-28, rue du docteur Roux, 75724 Paris cedex 15 - France)
- Institut Pasteur [Paris] (25-28, rue du docteur Roux, 75724 Paris cedex 15 - France)
- UPD7 - Université Paris Diderot - Paris 7 : U-Pasteur_1 (5 rue Thomas-Mann - 75205 Paris cedex 13 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR_3571 (France)
3
NPS - Neurosciences Paris Seine (Campus Jussieu - 9 quai Saint-Bernard - Bâtiment B/4ème étage - 75252 Paris cedex 05 - France)
- UPMC - Université Pierre et Marie Curie - Paris 6 : UM119 (4 place Jussieu - 75005 Paris - France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : U1130 (101, rue de Tolbiac, 75013 Paris - France)
- IBPS - Institut de Biologie Paris Seine (Quai Saint-Bernard
75252 PARIS CEDEX 05 - France)
- UPMC - Université Pierre et Marie Curie - Paris 6 (4 place Jussieu - 75005 Paris - France)
- INSERM - Institut National de la Santé et de la Recherche Médicale (101, rue de Tolbiac, 75013 Paris - France)
- CNRS - Centre National de la Recherche Scientifique : FR 3631 (France)
- CNRS - Centre National de la Recherche Scientifique : UMR8246 (France)
4
CITECH - Centre de Recherche et Innovation Technologique (25-28, rue du Docteur Roux, 75724 Paris cedex 15 - )
- Institut Pasteur [Paris] (25-28, rue du docteur Roux, 75724 Paris cedex 15 - France)
5
LPL - Laboratoire Parole et Langage (Laboratoire Parole et Langage
CNRS - Aix Marseille Université
5 avenue Pasteur
13100 Aix-en-Provence - France)
- AMU - Aix Marseille Université (Aix-Marseille Université Jardins du Pharo 58 Boulevard Charles Livon 13284 Marseille cedex 7 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR7309 /UMR6057 / ESA6057 / ERS164/ URA261 (France)
Abstract : Preclinical studies of psychiatric disorders use animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we introduce a method for the real-time analysis of the behaviour of mice housed in groups of up to four over several days and in enriched environments. The method combines computer vision through a depth-sensing infrared camera, machine learning for animal and posture identification, and radio-frequency identification to monitor the quality of mouse tracking. It tracks multiple mice accurately, extracts a list of behavioural traits of both individuals and the groups of mice, and provides a phenotypic profile for each animal. We used the method to study the impact of Shank2 and Shank3 gene mutations—mutations that are associated with autism—on mouse behaviour. Characterization and integration of data from the behavioural profiles of Shank2 and Shank3 mutant female mice revealed their distinctive activity levels and involvement in complex social interactions.
Document type :
Journal articles
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https://hal-pasteur.archives-ouvertes.fr/pasteur-02344329
Contributor : Elodie Ey <>
Submitted on : Monday, November 4, 2019 - 9:41:53 AM
Last modification on : Thursday, August 26, 2021 - 11:34:07 AM
Contributor : Elodie Ey <>
Submitted on : Monday, November 4, 2019 - 9:41:53 AM
Last modification on : Thursday, August 26, 2021 - 11:34:07 AM
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- HAL Id : pasteur-02344329, version 1
- DOI : 10.1038/s41551-019-0396-1
- PUBMED : 31110290
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PASTEUR | CNRS | LPL-AIX | UNIV-AMU | SORBONNE-UNIVERSITE | IBPS | NPS | SU-SCIENCES | UNIV-PARIS7 | USPC | UNIV-PARIS | UP-SCIENCES | SU-TI
Citation
Fabrice de Chaumont, Elodie Ey, Nicolas Torquet, Thibault Lagache, Stéphane Dallongeville, et al.. Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning. Nature Biomedical Engineering, Nature Publishing Group, 2019, 3, pp.930-942. ⟨10.1038/s41551-019-0396-1⟩. ⟨pasteur-02344329⟩
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