3Rs-based optimization of mice behavioral testing: The habituation/dishabituation olfactory test

习惯化 神经科学 嗅觉系统 心理学 考试(生物学) 生物 生态学
作者
Asma Oummadi,Géraldine Meyer-Dilhet,Amandine Béry,Arnaud Aubert,Pascal Barone,Stéphane Mortaud,Gilles J. Guillemin,Arnaud Menuet,Anthony Laugeray
出处
期刊:Journal of Neuroscience Methods [Elsevier BV]
卷期号:332: 108550-108550 被引量:4
标识
DOI:10.1016/j.jneumeth.2019.108550
摘要

There is clear evidence that most of the paradigms that are used in the field of behavioral neuroscience suffer from a lack of reliability mainly because of oversimplification of both testing procedures and interpretations. In the present study we show how an already existing behavioral test, the olfactory habituation / dishabituation task, can be optimized in such a way that animal number and animal distress could be minimized, number/confidence of behavioral outcomes and number of explored behavioral dimensions could be increased.We used ethologically relevant technical and procedural changes associated with videotracking-based automated quantification of sniffing behavior to validate our new setup. Mainly internal and construct validity were challenged through the implementation of a series of simple experiments.We show that the new version of the test: 1) has very good within and inter laboratory replicability, 2) is sensitive to some environmental / experimental factors while insensitive to others, 3) allows investigating hedonism, both state and trait anxiety, efficacy of anxiolytic molecules, acute stress, mental retardation-related social impairments and learning and memory. 4) We also show that interest for both nonsocial and social odors is stable over time which makes repetitive testing possible.This work paves the way for future studies showing how behavioral tests / procedures may be improved by using ethologically relevant changes, in order to question laboratory animals more adequately. Refining behavioral tests may considerably increase predictivity of preclinical tests and, ultimately, help reinforcing translational research.
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