Published in

Society for Neuroscience, Journal of Neuroscience, 14(27), p. 3823-3838, 2007

DOI: 10.1523/jneurosci.4719-06.2007

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T-type and L-type Ca2+ conductances define and encode the bimodal firing pattern of vestibulocerebellar unipolar brush cells.

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Cerebellar unipolar brush cells (UBCs) are glutamatergic interneurons that receive direct input from vestibular afferents in the form of a unique excitatory synapse on their dendritic brush. UBCs constitute independent relay lines for vestibular signals, and their inherent properties most likely determine how vestibular activity is encoded by the cerebellar cortex. We now demonstrate that UBCs are bimodal cells; they can either fire high-frequency bursts of action potentials when stimulated from hyperpolarized potentials or discharge tonically during sustained depolarizations. The two functional states can be triggered by physiological-like activity of the excitatory input and are encoded by distinct Ca2+-signaling systems. By combining complementary strategies, consisting of molecular and electrophysiological analysis and of ultrafast acousto-optical deflector-based two-photon imaging, we unraveled the identity and the subcellular localization of the Ca2+conductances activating in each mode. Fast inactivating T-type Ca2+channels produce low-threshold spikes, which trigger the high-frequency bursts and generate powerful Ca2+transients in the brush and, to a much lesser extent, in the soma. The tonic firing mode is encoded by a signalization system principally composed of L-type channels. Ca2+influx during tonic firing produces a linear representation of the spike rate of the cell in the form of a widespread and sustained Ca2+concentration increase and regulates cellular excitability via BK potassium channels. The bimodal firing pattern of UBCs may underlie different coding strategies of the vestibular input by the cerebellum, thus likely increasing the computational power of this structure.