Abstract
Assessment of behavioural phenotype is crucial for the evaluation of various disease models, particularly in laboratory rodents. Traditionally, this includes performing a variety of conventional tests where animals are removed from their home-cages and placed in behavioural test apparatuses. This approach can be affected by micro-environmental stress (removal from cage, handling, moving to an unfamiliar setting, and the test itself) and other biases by capturing animals’ responses in a short time-window and potentially missing subtle or circadian effects. Overall, serious concerns have been expressed regarding the validity and reliability of such measurements. To address some of these concerns, researchers are increasingly resorting to automated home-cage monitoring (HCM) technologies, which allow continuous recording of behavioural and physiological parameters of undisturbed animals. In 2021, a pan-European network of researchers started the 4-year COST Action “Improving biomedical research by automated behaviour monitoring in the animal home-cage” (CA20135 TEATIME, https://www.cost-teatime.org/). For this project, experts from different fields joined forces to critically assess the potential of available technologies, to develop guidelines and identify where further technological development is needed, including analysis of big data. The opportunities opened by HCM for daily health and welfare monitoring of laboratory mice in a contactless, stress-free, and continuous fashion are also being explored. We provide a short overview of the progress made by the Action during the first year and a half (presentation available at https://osf.io/5dgz7).
| Original language | English |
|---|---|
| Journal | Scandinavian journal of laboratory animal science |
| Volume | 50 |
| Issue number | 1 |
| Number of pages | 5 |
| ISSN | 2002-0112 |
| DOIs | |
| Publication status | Published - 16 Jan 2024 |
| MoE publication type | A1 Journal article-refereed |
Bibliographical note
Publisher Copyright:© 2024, Swedish Research Council. All rights reserved.
Fields of Science
- 3112 Neurosciences
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