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Cited by 438

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Burrowing and nest building behavior as indicators of well-being in mice

Open access
Jirkof, Paulin·2014·Journal of Neuroscience Methods

Abstract

The assessment of pain, distress and suffering, as well as evaluation of the efficacy of stress-reduction strategies, is crucial in animal experimentation but can be challenging in laboratory mice. Nest building and burrowing performance, observed in the home cage, have proved to be valuable and easy-to-use tools to assess brain damage or malfunction as well as neurodegenerative diseases. Both behaviors are used as parameters in models of psychiatric disorders or to monitor sickness behavior following infection. Their use has been proposed in more realistic and clinically relevant preclinical models of disease, and reduction of these behaviors seems to be especially useful as an early sign of dysfunction and to monitor disease progression. Finally, both behaviors are reduced by pain and stress. Therefore, in combination with specific disease markers, changes in nest building and burrowing performance may help provide a global picture of a mouse's state, and thus aid monitoring to ensure well-being in animal experimentation.

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Crossref · 10.1016/j.jneumeth.2014.02.001

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Metadata

Authors
Jirkof, P.
Venue
Journal of Neuroscience Methods
Publisher
Elsevier BV
Published
2014-08
Volume
234
Pages
139-146
ISSN
0165-0270 (ISSN-L)
OpenAlex
W2080093346
Cited by
438
References
107
FWCI
20.30
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Burrowing and nest building behavior as indicators of well-being in mice. https://app.cochat.ai/papers/10.1016/j.jneumeth.2014.02.001
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Jirkof, P. (2014). Burrowing and nest building behavior as indicators of well-being in mice. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2014.02.001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.