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 - Publisher Copyright: © 2019 Elsevier B.V.

PY - 2020/3/1

Y1 - 2020/3/1

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

KW - RAT

KW - LOCOMOTOR-ACTIVITY

KW - SOCIAL-BEHAVIOR

KW - VIDEO TRACKING

KW - MOTOR

KW - FISH

KW - MICE

KW - STRESS

KW - COMMUNICATION

KW - BRAIN

UR - http://www.scopus.com/inward/record.url?scp=85077148477&partnerID=8YFLogxK

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

UR - http://www.mendeley.com/research/new-method-vibrationbased-neurophenotyping-zebrafish

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 -