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Eco-HAB as a fully automated and ecologically relevant assessment of social impairments in mouse models of autism

Eco-HAB is an open source, RFID-based system for automated measurement and analysis of social preference and in-cohort sociability in mice. The system closely follows murine ethology. It requires no contact between a human experimenter and tested animals, overcoming the confounding factors that lead...

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Detalles Bibliográficos
Autores principales: Puścian, Alicja, Łęski, Szymon, Kasprowicz, Grzegorz, Winiarski, Maciej, Borowska, Joanna, Nikolaev, Tomasz, Boguszewski, Paweł M, Lipp, Hans-Peter, Knapska, Ewelina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5092044/
https://www.ncbi.nlm.nih.gov/pubmed/27731798
http://dx.doi.org/10.7554/eLife.19532
Descripción
Sumario:Eco-HAB is an open source, RFID-based system for automated measurement and analysis of social preference and in-cohort sociability in mice. The system closely follows murine ethology. It requires no contact between a human experimenter and tested animals, overcoming the confounding factors that lead to irreproducible assessment of murine social behavior between laboratories. In Eco-HAB, group-housed animals live in a spacious, four-compartment apparatus with shadowed areas and narrow tunnels, resembling natural burrows. Eco-HAB allows for assessment of the tendency of mice to voluntarily spend time together in ethologically relevant mouse group sizes. Custom-made software for automated tracking, data extraction, and analysis enables quick evaluation of social impairments. The developed protocols and standardized behavioral measures demonstrate high replicability. Unlike classic three-chambered sociability tests, Eco-HAB provides measurements of spontaneous, ecologically relevant social behaviors in group-housed animals. Results are obtained faster, with less manpower, and without confounding factors. DOI: http://dx.doi.org/10.7554/eLife.19532.001