PUBLICATION

A new method for vibration-based neurophenotyping of zebrafish

Authors
Wang, J., Wang, D., Hu, G., Yang, L., Yan, D., Wang, M., Serikuly, N., Alpyshov, E., Amstislavskaya, T.G., Demin, K.A., de Abreu, M.S., Zabegalov, K.N., Kalueff, A.V.
ID
ZDB-PUB-191223-24
Date
2019
Source
Journal of Neuroscience Methods   333: 108563 (Journal)
Registered Authors
Kalueff, Allan V.
Keywords
behavioral analyses, drug screening, neurophenotyping, vibration signals, zebrafish
MeSH Terms
  • Animals
  • Behavior, Animal
  • Locomotion
  • Neurosciences*
  • Vibration
  • Zebrafish*
PubMed
31863804 Full text @ J. Neurosci. Methods
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.
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 setup to detect vibration signals in adult zebrafish.
We demonstrate that moving zebrafish generate detectable, reproducible vibration power frequency spectra sensitive to various experimental manipulations, including sedative and anxiolytic treatments.
The present study is the first report describing vibration-based behavioral characterization in zebrafish.
The present proof-of-concept study expands the toolkit of zebrafish neurophenotyping methods to include vibration data, which may not only reflect changes in zebrafish locomotion, but can also eventually help detect more nuanced, behavior-specific changes in zebrafish phenotypes.
Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping