Computer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput roach to Quantifying Personality in Zebrafish
Date
Authors
Fangmeier, Melissa L.
Noble, Daniel W. A.
O'Dea, Rose E.
Usui, Takuji
Lagisz, M.
Hesselson, Daniel
Nakagawa, Shinichi
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Volume Title
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Mary Ann Liebert Inc.
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.
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Citation
Melissa L. Fangmeier, Daniel W.A. Noble, Rose E. O'Dea, Takuji Usui, Malgorzata Lagisz, Daniel Hesselson, and Shinichi Nakagawa.Zebrafish.Apr 2018.206-210.http://doi.org/10.1089/zeb.2017.1532
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Zebrafish
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Restricted until
2099-12-31
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