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Categories of Wistar Rats Based on Anxiety Traits: A Study Using Factor and Cluster Method
Arathi Radhakrishnan1, Kamalesh K Gulia1
1Division of Sleep Research, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
Annals of Neurosciences
|April 20, 2019
Summary
Neurobehavioral studies show variations due to animal anxiety traits. This study identified distinct rat anxiety and activity groups using elevated plus maze and open field tests, improving experimental consistency.
Area of Science:
- Neuroscience
- Animal Behavior
Background:
- Variability in animal anxiety traits impacts neurobehavioral study outcomes.
- Standardizing animal categorization can enhance result reproducibility and reduce inter-laboratory variation.
Purpose of the Study:
- To identify distinct behavioral groups within a normal population of adult male Wistar rats.
- To categorize rats based on their anxiety and activity traits.
Main Methods:
- Anxiety traits were assessed using the elevated plus maze (EPM) and open field test (OFT).
- Exploratory factor and hierarchical cluster analyses were applied to behavioral responses.
- Derived clusters were compared to identify distinct behavioral phenotypes.
Main Results:
- Factor analysis of EPM and OFT parameters yielded two components: anxiety and activity.
- Cluster analysis of EPM data classified rats into three groups: high anxiety/low activity, medium anxiety/high activity, and low anxiety/medium activity.
- OFT cluster analysis identified an additional group: low anxiety/high activity, with distinct groupings from EPM.
Conclusions:
- EPM and OFT parameters can be used to classify rats into distinct anxiety and activity profiles.
- The rat groups identified by EPM and OFT were not identical, suggesting the tests may capture different facets of anxiety.
- This categorization offers a potential method to control for anxiety variations in neurobehavioral research.
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