Literature DB >> 20148319

Mechanisms supporting transfer of inhibitory signals into the spike output of spontaneously firing cerebellar nuclear neurons in vitro.

Christine M Pedroarena1.   

Abstract

Cerebellar cortical signals are carried to their principal target, the deep cerebellar nuclear neurons (DCNs), via the inhibitory pathway formed by Purkinje cell (PC) axons. Two different intrinsic properties of DCNs, rebound excitation and automatic firing, have been proposed to support ensuing mechanisms for information transfer via inhibitory synapses. The efficacy of these mechanisms was investigated using whole-cell recordings of spontaneously firing DCNs in cerebellar slices. Results using current injection revealed that both mechanisms are effective in spontaneously firing DCNs but operate at different ranges of membrane potential. Rebound frequency was well correlated to the duration and amplitude of the preceding hyperpolarization. Activation of PC synapses with trains of stimuli few seconds long elicited rebound firing in all tested neurons, demonstrating that inhibition can elicit rebounds in DCNs held at their spontaneous membrane potential. Rebounds could be also elicited by single stimulus in a subset of neurons. The rebound frequency was significantly correlated to the synaptic stimulus strength, supporting the idea that rebound frequency may encode the amplitude of inhibition and thus serve to transfer inhibitory signals in the cerebellar circuit.

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Year:  2010        PMID: 20148319     DOI: 10.1007/s12311-009-0153-1

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  25 in total

1.  Ionic factors governing rebound burst phenotype in rat deep cerebellar neurons.

Authors:  Michael L Molineux; W Hamish Mehaffey; Reza Tadayonnejad; Dustin Anderson; Adrien F Tennent; Ray W Turner
Journal:  J Neurophysiol       Date:  2008-09-03       Impact factor: 2.714

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Journal:  J Physiol       Date:  1979-04       Impact factor: 5.182

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Journal:  J Neurophysiol       Date:  1968-09       Impact factor: 2.714

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Journal:  Neuroscience       Date:  2008-10-08       Impact factor: 3.590

8.  Cerebellar ataxia and Purkinje cell dysfunction caused by Ca2+-activated K+ channel deficiency.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-11       Impact factor: 11.205

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Journal:  J Neurophysiol       Date:  1994-01       Impact factor: 2.714

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Journal:  J Physiol       Date:  1988-10       Impact factor: 5.182

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  13 in total

1.  Distinct roles for I(T) and I(H) in controlling the frequency and timing of rebound spike responses.

Authors:  Jordan D T Engbers; Dustin Anderson; Reza Tadayonnejad; W Hamish Mehaffey; Michael L Molineux; Ray W Turner
Journal:  J Physiol       Date:  2011-10-03       Impact factor: 5.182

2.  Determinants of rebound burst responses in rat cerebellar nuclear neurons to physiological stimuli.

Authors:  Steven Dykstra; Jordan D T Engbers; Theodore M Bartoletti; Ray W Turner
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

3.  A Slow Short-Term Depression at Purkinje to Deep Cerebellar Nuclear Neuron Synapses Supports Gain-Control and Linear Encoding over Second-Long Time Windows.

Authors:  Christine M Pedroarena
Journal:  J Neurosci       Date:  2020-06-17       Impact factor: 6.167

4.  Analysis of distinct short and prolonged components in rebound spiking of deep cerebellar nucleus neurons.

Authors:  Thomas Sangrey; Dieter Jaeger
Journal:  Eur J Neurosci       Date:  2010-10-08       Impact factor: 3.386

5.  BK and Kv3.1 potassium channels control different aspects of deep cerebellar nuclear neurons action potentials and spiking activity.

Authors:  Christine M Pedroarena
Journal:  Cerebellum       Date:  2011-12       Impact factor: 3.847

6.  Cerebellar nuclei: key roles for strategically located structures.

Authors:  Mario Manto; Nordeyn Oulad Ben Taib
Journal:  Cerebellum       Date:  2010-03       Impact factor: 3.847

Review 7.  Mini-review: synaptic integration in the cerebellar nuclei--perspectives from dynamic clamp and computer simulation studies.

Authors:  Dieter Jaeger
Journal:  Cerebellum       Date:  2011-12       Impact factor: 3.847

8.  Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells.

Authors:  Volker Steuber; Nathan W Schultheiss; R Angus Silver; Erik De Schutter; Dieter Jaeger
Journal:  J Comput Neurosci       Date:  2010-11-04       Impact factor: 1.621

9.  Changes in membrane properties of rat deep cerebellar nuclear projection neurons during acquisition of eyeblink conditioning.

Authors:  Desheng Wang; Carrie A Smith-Bell; Lauren B Burhans; Deidre E O'Dell; Roger W Bell; Bernard G Schreurs
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-28       Impact factor: 11.205

10.  Maturation of membrane properties of neurons in the rat deep cerebellar nuclei.

Authors:  Desheng Wang; Bernard G Schreurs
Journal:  Dev Neurobiol       Date:  2014-06-26       Impact factor: 3.964

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