Literature DB >> 28513836

Facilitation of mossy fibre-driven spiking in the cerebellar nuclei by the synchrony of inhibition.

Yeechan Wu1,2, Indira M Raman1,2.   

Abstract

KEY POINTS: Large premotor neurons of the cerebellar nuclei (CbN cells) integrate synaptic inhibition from Purkinje neurons and synaptic excitation from mossy fibres to generate cerebellar output. We find that mossy fibre inputs to CbN cells generate unitary AMPA receptor EPSCs of ∼1 nS that decay in ∼1 ms and mildly voltage-dependent NMDA receptor EPSCs of ∼0.6 nS that decay in ∼7 ms. A few hundred mossy fibres active at a few tens of spikes s-1 must converge on CbN cells to generate physiological CbN spike rates (∼60 spikes s-1 ) during convergent inhibition from spontaneously active Purkinje cells. Dynamic clamp studies in cerebellar slices from weanling mice demonstrate that synaptic excitation from mossy fibres becomes more effective at increasing the rate of CbN cell spiking when the coherence (synchrony) of convergent inhibition is increased. ABSTRACT: Large projection neurons of the cerebellar nuclei (CbN cells), whose activity generates movement, are inhibited by Purkinje cells and excited by mossy fibres. The high convergence, firing rates and strength of Purkinje inputs predict powerful suppression of CbN cell spiking, raising the question of what activity patterns favour excitation over inhibition. Recording from CbN cells at near-physiological temperatures in cerebellar slices from weanling mice, we measured the amplitude, kinetics, voltage dependence and short-term plasticity of mossy fibre-mediated EPSCs. Unitary EPSCs were small and brief (AMPA receptor, ∼1 nS, ∼1 ms; NMDA receptor, ∼0.6 nS, ∼7 ms) and depressed moderately. Using these experimentally measured parameters, we applied combinations of excitation and inhibition to CbN cells with dynamic clamp. Because Purkinje cells can fire coincident simple spikes during cerebellar behaviours, we varied the proportion (0-20 of 40) and precision (0-4 ms jitter) of synchrony of inhibitory inputs, along with the rates (0-100 spikes s-1 ) and number (0-800) of excitatory inputs. Even with inhibition constant, when inhibitory synchrony was higher, excitation increased CbN cell firing rates more effectively. Partial inhibitory synchrony also dictated CbN cell spike timing, even with physiological rates of excitation. These effects were present with ≥10 inhibitory inputs active within 2-4 ms of each other. Conversely, spiking was most effectively suppressed when inhibition was maximally asynchronous. Thus, the rate and relative timing of Purkinje-mediated inhibition set the rate and timing of cerebellar output. The results suggest that increased coherence of Purkinje cell activity can facilitate mossy fibre-driven spiking by CbN cells, in turn driving movements.
© 2017 The Authors. The Journal of Physiology © 2017 The Physiological Society.

Entities:  

Keywords:  cerebellum; deep cerebellar nuclei; dynamic clamp; purkinje cell; rate coding; temporal coding

Mesh:

Substances:

Year:  2017        PMID: 28513836      PMCID: PMC5538193          DOI: 10.1113/JP274321

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  77 in total

1.  Simulations of cerebellar motor learning: computational analysis of plasticity at the mossy fiber to deep nucleus synapse.

Authors:  J F Medina; M D Mauk
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

2.  Integration of quanta in cerebellar granule cells during sensory processing.

Authors:  Paul Chadderton; Troy W Margrie; Michael Häusser
Journal:  Nature       Date:  2004-04-22       Impact factor: 49.962

3.  Mechanisms of synchronous activity in cerebellar Purkinje cells.

Authors:  Andrew K Wise; Nadia L Cerminara; Dilwyn E Marple-Horvat; Richard Apps
Journal:  J Physiol       Date:  2010-05-04       Impact factor: 5.182

4.  Long-term depression at the mossy fiber-deep cerebellar nucleus synapse.

Authors:  Wei Zhang; David J Linden
Journal:  J Neurosci       Date:  2006-06-28       Impact factor: 6.167

5.  Integrative versus delay line characteristics of cerebellar cortex.

Authors:  W A MacKay; J T Murphy
Journal:  Can J Neurol Sci       Date:  1976-05       Impact factor: 2.104

6.  A scriptable DSP-based system for dynamic conductance injection.

Authors:  Hugh P C Robinson
Journal:  J Neurosci Methods       Date:  2007-11-01       Impact factor: 2.390

7.  Cutaneous receptive fields and topography of mossy fibres and climbing fibres projecting to cat cerebellar C3 zone.

Authors:  M Garwicz; H Jorntell; C F Ekerot
Journal:  J Physiol       Date:  1998-10-01       Impact factor: 5.182

8.  Principles and standards for reporting animal experiments in The Journal of Physiology and Experimental Physiology.

Authors:  David Grundy
Journal:  J Physiol       Date:  2015-06-15       Impact factor: 5.182

9.  Dynamic clamp: computer-generated conductances in real neurons.

Authors:  A A Sharp; M B O'Neil; L F Abbott; E Marder
Journal:  J Neurophysiol       Date:  1993-03       Impact factor: 2.714

10.  Synchrony and neural coding in cerebellar circuits.

Authors:  Abigail L Person; Indira M Raman
Journal:  Front Neural Circuits       Date:  2012-12-11       Impact factor: 3.492

View more
  18 in total

1.  Perineuronal Nets in the Deep Cerebellar Nuclei Regulate GABAergic Transmission and Delay Eyeblink Conditioning.

Authors:  Moritoshi Hirono; Satoshi Watanabe; Fuyuki Karube; Fumino Fujiyama; Shigenori Kawahara; Soichi Nagao; Yuchio Yanagawa; Hiroaki Misonou
Journal:  J Neurosci       Date:  2018-06-01       Impact factor: 6.167

2.  Control of voluntary and optogenetically perturbed locomotion by spike rate and timing of neurons of the mouse cerebellar nuclei.

Authors:  Rashmi Sarnaik; Indira M Raman
Journal:  Elife       Date:  2018-04-16       Impact factor: 8.140

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

Authors:  Orçun Orkan Özcan; Xiaolu Wang; Francesca Binda; Kevin Dorgans; Chris I De Zeeuw; Zhenyu Gao; Ad Aertsen; Arvind Kumar; Philippe Isope
Journal:  J Neurosci       Date:  2019-11-06       Impact factor: 6.167

4.  Rubrocerebellar Feedback Loop Isolates the Interposed Nucleus as an Independent Processor of Corollary Discharge Information in Mice.

Authors:  Christy S Beitzel; Brenda D Houck; Samantha M Lewis; Abigail L Person
Journal:  J Neurosci       Date:  2017-09-15       Impact factor: 6.167

5.  Synaptic excitation by climbing fibre collaterals in the cerebellar nuclei of juvenile and adult mice.

Authors:  Marion Najac; Indira M Raman
Journal:  J Physiol       Date:  2017-09-20       Impact factor: 5.182

6.  Unusually slow spike frequency adaptation in deep cerebellar nuclei neurons preserves linear transformations on the sub-second timescale.

Authors:  Mehak M Khan; Shuting Wu; Christopher H Chen; Wade G Regehr
Journal:  J Neurosci       Date:  2022-08-19       Impact factor: 6.709

7.  Changes in cerebellar intrinsic neuronal excitability and synaptic plasticity result from eyeblink conditioning.

Authors:  Bernard G Schreurs
Journal:  Neurobiol Learn Mem       Date:  2019-09-19       Impact factor: 2.877

8.  Sensorimotor Integration and Amplification of Reflexive Whisking by Well-Timed Spiking in the Cerebellar Corticonuclear Circuit.

Authors:  Spencer T Brown; Indira M Raman
Journal:  Neuron       Date:  2018-07-12       Impact factor: 17.173

Review 9.  The Cerebellar Nuclei and Dexterous Limb Movements.

Authors:  Ayesha R Thanawalla; Albert I Chen; Eiman Azim
Journal:  Neuroscience       Date:  2020-07-09       Impact factor: 3.590

Review 10.  Modulatory Effects of Monoamines and Perineuronal Nets on Output of Cerebellar Purkinje Cells.

Authors:  Moritoshi Hirono; Fuyuki Karube; Yuchio Yanagawa
Journal:  Front Neural Circuits       Date:  2021-06-14       Impact factor: 3.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.