Computer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput Approach to Quantifying Personality in Zebrafish (Danio rerio)

Melissa L. Fangmeier, Daniel W.A. Noble, Rose E. O'Dea, Takuji Usui, Malgorzata Lagisz, Daniel Hesselson, Shinichi Nakagawa*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

An emergent field of animal personality necessitates a method for repeated high-throughput quantification of behavioral traits across contexts. In this study, we have developed an automated video stimulus approach to sequentially present different contexts relevant to five "personality" traits (exploration, boldness, neophobia, aggression, and sociability), successfully quantifying repeatable trait measurements in multiple individuals simultaneously. Although our method is designed to quantify personality traits in zebrafish, our approach can accommodate the quantification of other behaviors, and could be customized for other species. All digital materials and detailed protocols are publicly available online for researchers to freely use and modify.

Original languageEnglish
Pages (from-to)206-210
Number of pages5
JournalZebrafish
Volume15
Issue number2
DOIs
Publication statusPublished - Apr 2018
Externally publishedYes

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