Journal
NATURE BIOMEDICAL ENGINEERING
Volume 3, Issue 11, Pages 930-942Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41551-019-0396-1
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Funding
- Institut Pasteur
- Bettencourt-Schueller Foundation
- Cognacq-Jay Foundation
- Conny-Maeva Foundation
- ERANET-NEURON SYNPATHY program
- Agence Nationale de la Recherche [ANR-10-LABX-62-IBEID]
- France-BioImaging infrastructure [ANR-10-INBS-04]
- INCEPTION program [ANR-16-CONV-0005]
- Centre National de la Recherche Scientifique
- University Paris Diderot
- BioPsy Labex
- Institut National du Cancer [TABAC-16-022]
- Foundation for Medical Research [DEQ20130326488]
- Innovative Medicines Initiative Joint Undertaking from the European Union [115300]
- EFPIA companies
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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.
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