PUBLICATION
Central Vestibular Tuning Arises from Patterned Convergence of Otolith Afferents
- Authors
- Liu, Z., Kimura, Y., Higashijima, S.I., Hildebrand, D.G.C., Morgan, J.L., Bagnall, M.W.
- ID
- ZDB-PUB-201002-76
- Date
- 2020
- Source
- Neuron 108(4): 748-762.e4 (Journal)
- Registered Authors
- Bagnall, Martha, Higashijima, Shin-ichi, Liu, Zhikai
- Keywords
- body balance, electrical synapse, feedforward excitation, high-pass tuning, neural computation, sensorimotor transformation, sensory encoding, vestibulospinal neuron
- MeSH Terms
-
- Animals
- Electric Stimulation
- Evoked Potentials, Somatosensory/physiology
- Gene Knock-In Techniques
- Microscopy, Electron
- Neurons/physiology
- Neurons/ultrastructure
- Neurons, Afferent/physiology*
- Neurons, Afferent/ultrastructure
- Otolithic Membrane/physiology*
- Vestibular Nuclei/physiology*
- Vestibular Nuclei/ultrastructure
- Zebrafish
- PubMed
- 32937099 Full text @ Neuron
Citation
Liu, Z., Kimura, Y., Higashijima, S.I., Hildebrand, D.G.C., Morgan, J.L., Bagnall, M.W. (2020) Central Vestibular Tuning Arises from Patterned Convergence of Otolith Afferents. Neuron. 108(4):748-762.e4.
Abstract
As sensory information moves through the brain, higher-order areas exhibit more complex tuning than lower areas. Though models predict that complexity arises via convergent inputs from neurons with diverse response properties, in most vertebrate systems, convergence has only been inferred rather than tested directly. Here, we measure sensory computations in zebrafish vestibular neurons across multiple axes in vivo. We establish that whole-cell physiological recordings reveal tuning of individual vestibular afferent inputs and their postsynaptic targets. Strong, sparse synaptic inputs can be distinguished by their amplitudes, permitting analysis of afferent convergence in vivo. An independent approach, serial-section electron microscopy, supports the inferred connectivity. We find that afferents with similar or differing preferred directions converge on central vestibular neurons, conferring more simple or complex tuning, respectively. Together, these results provide a direct, quantifiable demonstration of feedforward input convergence in vivo.
Errata / Notes
This article is corrected by ZDB-PUB-220906-236 .
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping