Literature DB >> 21994387

Synaptic action of the olivocerebellar system on cerebellar nuclear spike activity.

Timothy A Blenkinsop1, Eric J Lang.   

Abstract

Cerebellar output is necessary for the ideal implementation of many nervous system functions, particularly motor coordination. A key step toward understanding the generation of this output is characterizing the factors that shape the activity of the cerebellar nuclei (CN). There are four major sources of synaptic input that modulate CN activity; collaterals of climbing and mossy fibers are two, and the remaining two are provided by Purkinje cell (PC) axons in the form of simple spikes (SSs) and complex spikes (CSs). Most hypotheses of cerebellar function focus on SSs as the primary determinant of CN activity. However, it is likely that CSs also cause significant direct effects on CN activity, something that is rarely considered. To explore this possibility, we recorded from synaptically connected PC-CN neuron cell pairs in rats. Cross-correlograms of CS and CN activity from such recordings demonstrate that spontaneous CSs have a strong inhibitory effect on CN activity, apparently sufficient, in some cases, to trigger changes in the intrinsic excitability of the CN neuron that long outlast the underlying CS-mediated GABAergic IPSP. Furthermore, many CS-CN correlograms show an initial excitatory response, demonstrating the ability of climbing fiber collaterals to significantly excite CN neurons. A substantial fraction (24%) of correlograms displayed an excitation-inhibition sequence, providing evidence that a CN neuron often receives collaterals from the same olivocerebellar axons as innervate the PCs projecting to it. Thus, excitation followed by inhibition appears to be a hard-wired response pattern of many CN neurons to olivocerebellar activity.

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Year:  2011        PMID: 21994387      PMCID: PMC3711508          DOI: 10.1523/JNEUROSCI.3323-11.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  63 in total

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Journal:  Brain Res       Date:  1982-04-15       Impact factor: 3.252

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Journal:  Cerebellum       Date:  2011-09       Impact factor: 3.847

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  30 in total

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Journal:  Cerebellum       Date:  2014-08       Impact factor: 3.847

7.  Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus.

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Review 8.  Current Opinions and Consensus for Studying Tremor in Animal Models.

Authors:  Sheng-Han Kuo; Elan D Louis; Phyllis L Faust; Adrian Handforth; Su-Youne Chang; Billur Avlar; Eric J Lang; Ming-Kai Pan; Lauren N Miterko; Amanda M Brown; Roy V Sillitoe; Collin J Anderson; Stefan M Pulst; Martin J Gallagher; Kyle A Lyman; Dane M Chetkovich; Lorraine N Clark; Murni Tio; Eng-King Tan; Rodger J Elble
Journal:  Cerebellum       Date:  2019-12       Impact factor: 3.847

9.  Population coding in the cerebellum: a machine learning perspective.

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Journal:  J Neurophysiol       Date:  2020-10-28       Impact factor: 2.714

Review 10.  Modeling the generation of output by the cerebellar nuclei.

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