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...

Full description

Saved in:
Bibliographic Details
Published ineLife Vol. 5
Main Authors Puścian, Alicja, Łęski, Szymon, Kasprowicz, Grzegorz, Winiarski, Maciej, Borowska, Joanna, Nikolaev, Tomasz, Boguszewski, Paweł M, Lipp, Hans-Peter, Knapska, Ewelina
Format Journal Article
LanguageEnglish
Published England eLife Science Publications, Ltd 12.10.2016
eLife Sciences Publications Ltd
eLife Sciences Publications, Ltd
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.19532