iPhone® applications as versatile video tracking tools to analyze behavior in zebrafish (Danio rerio)
- Authors
- Pittman, J.T., and Ichikawa, K.M.
- ID
- ZDB-PUB-130416-15
- Date
- 2013
- Source
- Pharmacology, biochemistry, and behavior 106: 137-42 (Journal)
- Registered Authors
- Pittman, Julian
- Keywords
- ANOVA, analysis of variance, apps, applications, SSRIs, selective serotonin re-uptake inhibitors
- MeSH Terms
-
- Animals
- Behavior, Animal*
- Female
- Male
- Mobile Applications*
- Zebrafish/physiology*
- PubMed
- 23558086 Full text @ Pharmacol. Biochem. Behav.
Zebrafish (Danio rerio) are emerging as a promising model organism for experimental studies relevant to biological psychiatry. The objective of this study was to develop a novel video-based movement tracking and analysis system to quantify behavioral changes following psychoactive drug exposure in zebrafish. We assessed the effects of withdrawal from chronic ethanol exposure, and subsequent administration of fluoxetine (Prozac®), buspirone (Buspar®), and diazepam (Valium) using two behavioral paradigms; the Novel Tank Diving Test and the Light/Dark Choice Assay. A video tracking system was developed using two Apple® applications (Apps) to quantify these behaviors. Data from zebrafish exposed to the above treatments are presented in this paper not only to exemplify behavioral alterations associated with chronic exposure, but also more importantly, to validate the video tracking system. Following withdrawal from chronic ethanol exposure, zebrafish exhibited dose/time-dependent anxiogenic effects; including reduced exploration and freezing behavior in the Novel Tank Diving Test, and preference for the dark area for the Light/Dark Choice Assay. In contrast, the above drug treatments had significant anxiolytic effects. We have developed a simple and cost-effective method of measuring zebrafish behavioral responses. The iPhone® Apps outlined in this study offer numerous flexible methods of data acquisition; namely, ease of identification and tracking of multiple animals, tools for visualization of the tracks, and calculation of a range of analysis parameters. Furthermore, the limited amount of time required for interpretation of the video data makes this a powerful high-throughput tool with potential applications for pre-clinical drug development.