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Tests to assess motor phenotype in mice: a user's guide

Brooks, Simon P., Dunnett, Stephen B.·2009·Nature Reviews Neuroscience
DOI 10.1038/nrn2652
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Abstract

The characterization of mouse models of human disease is essential for understanding the underlying pathophysiology and developing new therapeutics. Many diseases are often associated with more than one model, and so there is a need to determine which model most closely represents the disease state or is most suited to the therapeutic approach under investigation. In the case of neurological disease, motor tests provide a good read-out of neurological function. This overview of available motor tasks aims to aid researchers in making the correct choice of test when attempting to tease out a transgenic phenotype or when assessing the recovery of motor function following therapeutic intervention.

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Authors
Brooks, S. P., & Dunnett, S. B.
Venue
Nature Reviews Neuroscience
Publisher
Springer Science and Business Media LLC
Published
2009-06-10
Volume
10
Issue
7
Pages
519-529
ISSN
  • 1471-003X
  • 1471-0048
DOI
10.1038/nrn2652
Cited by
621
References
1
Language
en
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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