Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals

Abstract Fear, anxiety, and preference in fish are generally evaluated by video-based behavioural analyses. We previously proposed a system that can measure bioelectrical signals, called ventilatory signals, using a 126-electrode array placed at the bottom of an aquarium and achieved cameraless real...

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Autores principales:	Zu Soh, Motoki Matsuno, Masayuki Yoshida, Akira Furui, Toshio Tsuji
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/09775306a2fe42f3a3156ff04a8ea7a2
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spelling	oai:doaj.org-article:09775306a2fe42f3a3156ff04a8ea7a22021-12-02T15:13:02ZMeasurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals10.1038/s41598-020-80578-62045-2322https://doaj.org/article/09775306a2fe42f3a3156ff04a8ea7a22021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80578-6https://doaj.org/toc/2045-2322Abstract Fear, anxiety, and preference in fish are generally evaluated by video-based behavioural analyses. We previously proposed a system that can measure bioelectrical signals, called ventilatory signals, using a 126-electrode array placed at the bottom of an aquarium and achieved cameraless real-time analysis of motion and ventilation. In this paper, we propose a method to evaluate the emotional state of fish by combining the motion and ventilatory indices obtained with the proposed system. In the experiments, fear/anxiety and appetitive behaviour were induced using alarm pheromone and ethanol, respectively. We also found that the emotional state of the zebrafish can be expressed on the principal component (PC) space extracted from the defined indices. The three emotional states were discriminated using a model-based machine learning method by feeding the PCs. Based on discrimination performed every 5 s, the F-score between the three emotional states were as follows: 0.84 for the normal state, 0.76 for the fear/anxiety state, and 0.59 for the appetitive behaviour. These results indicate the effectiveness of combining physiological and motional indices to discriminate the emotional states of zebrafish.Zu SohMotoki MatsunoMasayuki YoshidaAkira FuruiToshio TsujiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zu Soh Motoki Matsuno Masayuki Yoshida Akira Furui Toshio Tsuji Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals
description	Abstract Fear, anxiety, and preference in fish are generally evaluated by video-based behavioural analyses. We previously proposed a system that can measure bioelectrical signals, called ventilatory signals, using a 126-electrode array placed at the bottom of an aquarium and achieved cameraless real-time analysis of motion and ventilation. In this paper, we propose a method to evaluate the emotional state of fish by combining the motion and ventilatory indices obtained with the proposed system. In the experiments, fear/anxiety and appetitive behaviour were induced using alarm pheromone and ethanol, respectively. We also found that the emotional state of the zebrafish can be expressed on the principal component (PC) space extracted from the defined indices. The three emotional states were discriminated using a model-based machine learning method by feeding the PCs. Based on discrimination performed every 5 s, the F-score between the three emotional states were as follows: 0.84 for the normal state, 0.76 for the fear/anxiety state, and 0.59 for the appetitive behaviour. These results indicate the effectiveness of combining physiological and motional indices to discriminate the emotional states of zebrafish.
format	article
author	Zu Soh Motoki Matsuno Masayuki Yoshida Akira Furui Toshio Tsuji
author_facet	Zu Soh Motoki Matsuno Masayuki Yoshida Akira Furui Toshio Tsuji
author_sort	Zu Soh
title	Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals
title_short	Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals
title_full	Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals
title_fullStr	Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals
title_full_unstemmed	Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals
title_sort	measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/09775306a2fe42f3a3156ff04a8ea7a2
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_version_	1718387551562104832

Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals

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