A new method for vibration-based neurophenotyping of zebrafish

Jingtao Wang, Dongmei Wang, Guojun Hu, LongEn Yang, Dongni Yan, Mengyao Wang, Nazar Serikuly, Erik Alpyshov, Tamara G Amstislavskaya, Konstantin A Demin, Murilo S de Abreu, Konstantin N Zabegalov, Allan V Kalueff

Research output

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number108563
JournalJournal of Neuroscience Methods
Volume333
Early online date18 Dec 2019
DOIs
Publication statusE-pub ahead of print - 18 Dec 2019

Fingerprint

Zebrafish
Vibration
Anti-Anxiety Agents
Locomotion
Neurosciences
Hypnotics and Sedatives
Fishes
Phenotype

Scopus subject areas

  • Neuroscience(all)

Cite this

Wang, J., Wang, D., Hu, G., Yang, L., Yan, D., Wang, M., ... Kalueff, A. V. (2020). A new method for vibration-based neurophenotyping of zebrafish. Journal of Neuroscience Methods, 333, [108563]. https://doi.org/10.1016/j.jneumeth.2019.108563
Wang, Jingtao ; Wang, Dongmei ; Hu, Guojun ; Yang, LongEn ; Yan, Dongni ; Wang, Mengyao ; Serikuly, Nazar ; Alpyshov, Erik ; Amstislavskaya, Tamara G ; Demin, Konstantin A ; de Abreu, Murilo S ; Zabegalov, Konstantin N ; Kalueff, Allan V. / A new method for vibration-based neurophenotyping of zebrafish. In: Journal of Neuroscience Methods. 2020 ; Vol. 333.
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title = "A new method for vibration-based neurophenotyping of zebrafish",
abstract = "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.",
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author = "Jingtao Wang and Dongmei Wang and Guojun Hu and LongEn Yang and Dongni Yan and Mengyao Wang and Nazar Serikuly and Erik Alpyshov and Amstislavskaya, {Tamara G} and Demin, {Konstantin A} and {de Abreu}, {Murilo S} and Zabegalov, {Konstantin N} and Kalueff, {Allan V}",
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Wang, J, Wang, D, Hu, G, Yang, L, Yan, D, Wang, M, Serikuly, N, Alpyshov, E, Amstislavskaya, TG, Demin, KA, de Abreu, MS, Zabegalov, KN & Kalueff, AV 2020, 'A new method for vibration-based neurophenotyping of zebrafish', Journal of Neuroscience Methods, vol. 333, 108563. https://doi.org/10.1016/j.jneumeth.2019.108563

A new method for vibration-based neurophenotyping of zebrafish. / Wang, Jingtao; Wang, Dongmei; Hu, Guojun; Yang, LongEn; Yan, Dongni; Wang, Mengyao; Serikuly, Nazar; Alpyshov, Erik; Amstislavskaya, Tamara G; Demin, Konstantin A; de Abreu, Murilo S; Zabegalov, Konstantin N; Kalueff, Allan V.

In: Journal of Neuroscience Methods, Vol. 333, 108563, 01.03.2020.

Research output

TY - JOUR

T1 - A new method for vibration-based neurophenotyping of zebrafish

AU - Wang, Jingtao

AU - Wang, Dongmei

AU - Hu, Guojun

AU - Yang, LongEn

AU - Yan, Dongni

AU - Wang, Mengyao

AU - Serikuly, Nazar

AU - Alpyshov, Erik

AU - Amstislavskaya, Tamara G

AU - Demin, Konstantin A

AU - de Abreu, Murilo S

AU - Zabegalov, Konstantin N

AU - Kalueff, Allan V

N1 - Copyright © 2019. Published by Elsevier B.V.

PY - 2019/12/18

Y1 - 2019/12/18

N2 - 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.

AB - 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.

KW - Behavioral analyses

KW - Drug screening

KW - Neurophenotyping

KW - Vibration signals

KW - Zebrafish

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UR - https://www.sciencedirect.com/science/article/pii/S0165027019304200?via%3Dihub

U2 - 10.1016/j.jneumeth.2019.108563

DO - 10.1016/j.jneumeth.2019.108563

M3 - Article

C2 - 31863804

VL - 333

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

M1 - 108563

ER -