Literature DB >> 21259124

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

Dieter Jaeger1.   

Abstract

The cerebellar nuclei (CN) process inhibition from Purkinje cells (PC) and excitation from mossy and climbing fiber collaterals. CN neurons in slices show intrinsic pacemaking activity, which is easily modulated by synaptic inputs. Our work using dynamic clamping and computer modeling shows that synchronicity between PC inputs is an important factor in determining spike rate and spike timing of CN neurons and that brief pauses in PC inputs provide a potent stimulus to trigger CN spikes. Excitatory input can equally control spike rate, but, due to a large slow, NMDA component also amplifies responses to inhibitory inputs. Intrinsic properties of CN neurons are well suited to provide prolonged responses to strong input transients and could be involved in motor pattern generation. One such specific mechanism is given by fast and slow rebound bursting. Nevertheless, we are just beginning to unravel synaptic integration in the CN, and the outcome of the work to date is best characterized by the generation of new specific questions that lend themselves to a combined experimental and computer modeling approach in future studies.

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Year:  2011        PMID: 21259124     DOI: 10.1007/s12311-011-0248-3

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


  74 in total

1.  Topography of cerebellar nuclear projections to the brain stem in the rat.

Authors:  T M Teune; J van der Burg; J van der Moer; J Voogd; T J Ruigrok
Journal:  Prog Brain Res       Date:  2000       Impact factor: 2.453

2.  Behavioral characteristics, associative learning capabilities, and dynamic association mapping in an animal model of cerebellar degeneration.

Authors:  Elena Porras-García; Raudel Sánchez-Campusano; David Martínez-Vargas; Eduardo Domínguez-del-Toro; Jan Cendelín; Frantisek Vozeh; José M Delgado-García
Journal:  J Neurophysiol       Date:  2010-04-21       Impact factor: 2.714

3.  Cerebellar modulation of trigeminal reflex blinks: interpositus neurons.

Authors:  Fang-Ping Chen; Craig Evinger
Journal:  J Neurosci       Date:  2006-10-11       Impact factor: 6.167

4.  Spatial pattern coding of sensory information by climbing fiber-evoked calcium signals in networks of neighboring cerebellar Purkinje cells.

Authors:  Simon R Schultz; Kazuo Kitamura; Arthur Post-Uiterweer; Julija Krupic; Michael Häusser
Journal:  J Neurosci       Date:  2009-06-24       Impact factor: 6.167

5.  Activity of interpositus neurons during a visually guided reach.

Authors:  A R Gibson; K M Horn; J F Stein; P L Van Kan
Journal:  Can J Physiol Pharmacol       Date:  1996-04       Impact factor: 2.273

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

Authors:  Christine M Pedroarena
Journal:  Cerebellum       Date:  2010-03       Impact factor: 3.847

7.  Responses of neurones in nucleus interpositus of the cerebellum to cutaneous nerve volleys in the awake cat.

Authors:  D M Armstrong; J A Rawson
Journal:  J Physiol       Date:  1979-04       Impact factor: 5.182

8.  Discharge of identified deep cerebellar nuclei neurons related to eye blinks in the alert cat.

Authors:  A Gruart; J M Delgado-García
Journal:  Neuroscience       Date:  1994-08       Impact factor: 3.590

9.  Cerebello-olivary projections in the rat. An autoradiographic study.

Authors:  P Anguat; F Cicirata
Journal:  Brain Behav Evol       Date:  1982       Impact factor: 1.808

10.  GlyT2+ neurons in the lateral cerebellar nucleus.

Authors:  Marylka Uusisaari; Thomas Knöpfel
Journal:  Cerebellum       Date:  2010-03       Impact factor: 3.847

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  9 in total

1.  Bidirectional modulation of deep cerebellar nuclear cells revealed by optogenetic manipulation of inhibitory inputs from Purkinje cells.

Authors:  V Z Han; G Magnus; Y Zhang; A D Wei; E E Turner
Journal:  Neuroscience       Date:  2014-07-11       Impact factor: 3.590

Review 2.  The mysterious microcircuitry of the cerebellar nuclei.

Authors:  Marylka Uusisaari; Erik De Schutter
Journal:  J Physiol       Date:  2011-04-26       Impact factor: 5.182

3.  Flocculus Purkinje cell signals in mouse Cacna1a calcium channel mutants of escalating severity: an investigation of the role of firing irregularity in ataxia.

Authors:  John S Stahl; Zachary C Thumser
Journal:  J Neurophysiol       Date:  2014-08-20       Impact factor: 2.714

4.  Biophysical Kv3 channel alterations dampen excitability of cortical PV interneurons and contribute to network hyperexcitability in early Alzheimer's.

Authors:  Viktor J Olah; Annie M Goettemoeller; Sruti Rayaprolu; Eric B Dammer; Nicholas T Seyfried; Srikant Rangaraju; Jordane Dimidschstein; Matthew J M Rowan
Journal:  Elife       Date:  2022-06-21       Impact factor: 8.713

5.  Gain control of synaptic response function in cerebellar nuclear neurons by a calcium-activated potassium conductance.

Authors:  Steven Si Feng; Risa Lin; Volker Gauck; Dieter Jaeger
Journal:  Cerebellum       Date:  2013-10       Impact factor: 3.847

6.  Stochastic Synchronization in Purkinje Cells with Feedforward Inhibition Could Be Studied with Equivalent Phase-Response Curves.

Authors:  Sergio Verduzco-Flores
Journal:  J Math Neurosci       Date:  2015-06-19       Impact factor: 1.300

7.  Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments.

Authors:  Aleksandra Badura; Claudia Clopath; Martijn Schonewille; Chris I De Zeeuw
Journal:  Sci Rep       Date:  2016-11-02       Impact factor: 4.379

8.  Whole-Cell Properties of Cerebellar Nuclei Neurons In Vivo.

Authors:  Cathrin B Canto; Laurens Witter; Chris I De Zeeuw
Journal:  PLoS One       Date:  2016-11-16       Impact factor: 3.240

9.  Conventional measures of intrinsic excitability are poor estimators of neuronal activity under realistic synaptic inputs.

Authors:  Adrienn Szabó; Katalin Schlett; Attila Szücs
Journal:  PLoS Comput Biol       Date:  2021-09-16       Impact factor: 4.475

  9 in total

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