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A simple method to study motor and non-motor behaviors in adult zebrafish

Authors :
Kirankumar Santhakumar
Velanganni Selvaraj
Hemagowri Venkatasubramanian
Kaliappan Ilango
Source :
Journal of Neuroscience Methods. 320:16-25
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Background Motor and non-motor behavior analyses are increasingly utilizied in drug discovery and screening, detection of neurobehavioral disorders and chemical toxicology. The emergence of computational approaches has helped to develop different tools to analyse complex behaviors. Analysis of locomotor behavior helps in understanding the motor neuron disorders like Parkinson’s Disease. Although many animal models are available to study the locomotion, adult zebrafish has emerged as a simple and efficient model to study this behavior. An inexpensive and easily customizable tool is required to replace the licensed and expensive set-up to analyse the locomotor behavior. New method In this study we have optimized the ImageJ plugin wrMTrck to analyse motor and non-motor behaviors in adult zebrafish. We have generated a macro to simplify the preprocessing and tracking. Subsequently, we have developed a data analysis sheet to analyse various behavioral end points. Results We have successfully developed an inexpensive video acquisition set-up and optimized wrMTrck for adult zebrafish. In order to demonstrate the efficacy of this method, adult zebrafish were injected with MPTP and motor and non-motor behaviors were analysed. Expectedly, MPTP injected fish showed decrease in dopamine level and dat expression level, which subsequently led to locomotor behavioral defects as well as anxiety, a non-motor symptom of PD. Comparison with existing method(s) Further, the obtained results were validated by another ImageJ macro developed by Pelkowski et al. (2011) and we observed identical trajectories. Conclusions The usefulness of popular ImageJ plugin wrMTrck and this extended protocol will be helpful to quantify motor and non-motor behavioral parameters.

Details

ISSN :
01650270
Volume :
320
Database :
OpenAIRE
Journal :
Journal of Neuroscience Methods
Accession number :
edsair.doi.dedup.....2bbb510fcc695c78f91da4d22f634fbb
Full Text :
https://doi.org/10.1016/j.jneumeth.2019.03.008