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ZIRC
ZFIN ID: ZDB-PUB-181127-5
Whole-Brain Calcium Imaging during Physiological Vestibular Stimulation in Larval Zebrafish
Migault, G., van der Plas, T.L., Trentesaux, H., Panier, T., Candelier, R., Proville, R., Englitz, B., Debr├ęgeas, G., Bormuth, V.
Date: 2018
Source: Current biology : CB 28(23): 3723-3735.e6 (Journal)
Registered Authors:
Keywords: 4D data visualization, calcium imaging, functional whole-brain imaging, light-sheet microscopy, microscopy development, regression analysis, sensory processing, vestibular system, zebrafish
MeSH Terms: none
PubMed: 30449666 Full text @ Curr. Biol.
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ABSTRACT
The vestibular apparatus provides animals with postural and movement-related information that is essential to adequately execute numerous sensorimotor tasks. In order to activate this sensory system in a physiological manner, one needs to macroscopically rotate or translate the animal's head, which in turn renders simultaneous neural recordings highly challenging. Here we report on a novel miniaturized, light-sheet microscope that can be dynamically co-rotated with a head-restrained zebrafish larva, enabling controlled vestibular stimulation. The mechanical rigidity of the microscope allows one to perform whole-brain functional imaging with state-of-the-art resolution and signal-to-noise ratio while imposing up to 25° in angular position and 6,000°/s2 in rotational acceleration. We illustrate the potential of this novel setup by producing the first whole-brain response maps to sinusoidal and stepwise vestibular stimulation. The responsive population spans multiple brain areas and displays bilateral symmetry, and its organization is highly stereotypic across individuals. Using Fourier and regression analysis, we identified three major functional clusters that exhibit well-defined phasic and tonic response patterns to vestibular stimulation. Our rotatable light-sheet microscope provides a unique tool for systematically studying vestibular processing in the vertebrate brain and extends the potential of virtual-reality systems to explore complex multisensory and motor integration during simulated 3D navigation.
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