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

Author:

Puścian Alicja1ORCID,Łęski Szymon1ORCID,Kasprowicz Grzegorz23,Winiarski Maciej1,Borowska Joanna1,Nikolaev Tomasz1,Boguszewski Paweł M1ORCID,Lipp Hans-Peter45,Knapska Ewelina1ORCID

Affiliation:

1. Department of Neurophysiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland

2. Center for Theoretical Physics, Polish Academy of Sciences, Warsaw, Poland

3. Institute of Electronic Systems, Warsaw University of Technology, Warsaw, Poland

4. Institute of Anatomy, University of Zurich, Zurich, Switzerland

5. School of Laboratory Medicine, Kwazulu-Natal University Durban, Durban, Republic of South Africa

Abstract

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.

Funder

Swiss Contribution to the enlarged European Union

Narodowe Centrum Nauki

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference47 articles.

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