RT Journal Article
SR Electronic
T1 Live Mouse Tracker: real-time behavioral analysis of groups of mice
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 345132
DO 10.1101/345132
A1 Fabrice de Chaumont
A1 Elodie Ey
A1 Nicolas Torquet
A1 Thibault Lagache
A1 Stéphane Dallongeville
A1 Albane Imbert
A1 Thierry Legou
A1 Anne-Marie Le Sourd
A1 Philippe Faure
A1 Thomas Bourgeron
A1 Jean-Christophe Olivo-Marin
YR 2018
UL http://biorxiv.org/content/early/2018/06/18/345132.abstract
AB Preclinical studies of psychiatric disorders require the use of animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we present a real-time method for behavior analysis of mice housed in groups that couples computer vision, machine learning and Triggered-RFID identification to track and monitor animals over several days in enriched environments. The system extracts a thorough list of individual and collective behavioral traits and provides a unique phenotypic profile for each animal. On mouse models, we study the impact of mutations of genes Shank2 and Shank3 involved in autism. Characterization and integration of data from behavioral profiles of mutated female mice reveals distinctive activity levels and involvement in complex social configuration.