Wang, Jingtao
(School of Pharmacy, Southwest University)
,
Wang, Dongmei
(School of Pharmacy, Southwest University)
,
Hu, Guojun
(School of Pharmacy, Southwest University)
,
Yang, LongEn
(School of Pharmacy, Southwest University)
,
Yan, Dongni
(School of Pharmacy, Southwest University)
,
Wang, Mengyao
(School of Pharmacy, Southwest University)
,
Serikuly, Nazar
(School of Pharmacy, Southwest University)
,
Alpyshov, Erik
(School of Pharmacy, Southwest University)
,
Amstislavskaya, Tamara G.
(Scientific Research Institute of Physiology and Basic Medicine)
,
Demin, Konstantin A.
(Institute of Experimental Medicine, Almazov National Medical Research Centre)
,
de Abreu, Murilo S.
(Bioscience Institute, University of Passo Fundo)
,
Zabegalov, Konstantin N.
(Ural Federal University)
,
Kalueff, Allan V.
(School of Pharmacy, Southwest University)
Abstract Background The zebrafish (Danio rerio) is rapidly emerging as an important model species in neuroscience research. Neurobehavioral studies in zebrafish are typically based on automated video-tracking of individual or group fish responses to various stressors, drug treatments and genetic ma...
Abstract Background The zebrafish (Danio rerio) is rapidly emerging as an important model species in neuroscience research. Neurobehavioral studies in zebrafish are typically based on automated video-tracking of individual or group fish responses to various stressors, drug treatments and genetic manipulations. However, moving zebrafish also emit vibration signals that can be recorded and characterized. New method Here, we present the first evidence that vibration-based analyses can be used to assess zebrafish behaviors. Utilizing a free accelerometer smartphone application, we developed a simple inexpensive custom-made setup to detect vibration signals in adult zebrafish. Results We demonstrate that moving zebrafish generate detectable, reproducible vibration power frequency spectra that may be sensitive to various experimental manipulations, including sedative and anxiolytic treatments. Comparison with existing methods The present study is the first report describing vibration-based behavioral characterization in zebrafish. Conclusions The present proof-of-concept study expands the toolkit of zebrafish neurophenotyping methods to include vibration data, which may not only reflect major global changes in zebrafish locomotion (e.g., sedation or hyperactivity), but can also eventually help detect more nuanced, behavior- or context-specific changes in zebrafish phenotypes. Highlights The zebrafish is rapidly emerging as an important model species in neuroscience research. Here, we develop vibration-based analyses to assess adult zebrafish behaviors. Zebrafish generate detectable vibration spectra sensitive to experimental manipulations. The present study is the first report of vibration-based behavioral analyses in zebrafish. This proof-of-concept study expands zebrafish phenotyping to include vibration data.
Abstract Background The zebrafish (Danio rerio) is rapidly emerging as an important model species in neuroscience research. Neurobehavioral studies in zebrafish are typically based on automated video-tracking of individual or group fish responses to various stressors, drug treatments and genetic manipulations. However, moving zebrafish also emit vibration signals that can be recorded and characterized. New method Here, we present the first evidence that vibration-based analyses can be used to assess zebrafish behaviors. Utilizing a free accelerometer smartphone application, we developed a simple inexpensive custom-made setup to detect vibration signals in adult zebrafish. Results We demonstrate that moving zebrafish generate detectable, reproducible vibration power frequency spectra that may be sensitive to various experimental manipulations, including sedative and anxiolytic treatments. Comparison with existing methods The present study is the first report describing vibration-based behavioral characterization in zebrafish. Conclusions The present proof-of-concept study expands the toolkit of zebrafish neurophenotyping methods to include vibration data, which may not only reflect major global changes in zebrafish locomotion (e.g., sedation or hyperactivity), but can also eventually help detect more nuanced, behavior- or context-specific changes in zebrafish phenotypes. Highlights The zebrafish is rapidly emerging as an important model species in neuroscience research. Here, we develop vibration-based analyses to assess adult zebrafish behaviors. Zebrafish generate detectable vibration spectra sensitive to experimental manipulations. The present study is the first report of vibration-based behavioral analyses in zebrafish. This proof-of-concept study expands zebrafish phenotyping to include vibration data.
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