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      Activity-Dependent Gating of Calcium Spikes by A-type K+ Channels Controls Climbing Fiber Signaling in Purkinje Cell Dendrites

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          Summary

          In cerebellar Purkinje cell dendrites, heterosynaptic calcium signaling induced by the proximal climbing fiber (CF) input controls plasticity at distal parallel fiber (PF) synapses. The substrate and regulation of this long-range dendritic calcium signaling are poorly understood. Using high-speed calcium imaging, we examine the role of active dendritic conductances. Under basal conditions, CF stimulation evokes T-type calcium signaling displaying sharp proximodistal decrement. Combined mGluR1 receptor activation and depolarization, two activity-dependent signals, unlock P/Q calcium spikes initiation and propagation, mediating efficient CF signaling at distal sites. These spikes are initiated in proximal smooth dendrites, independently from somatic sodium action potentials, and evoke high-frequency bursts of all-or-none fast-rising calcium transients in PF spines. Gradual calcium spike burst unlocking arises from increasing inactivation of mGluR1-modulated low-threshold A-type potassium channels located in distal dendrites. Evidence for graded activity-dependent CF calcium signaling at PF synapses refines current views on cerebellar supervised learning rules.

          Highlights

          • The giant proximal CF input controls Ca 2+ plasticity at distal PF-Purkinje synapses

          • We find mGluR1 activity and Purkinje cell depolarization to control CF calcium influx

          • Distal CF signaling is mediated by centrifugal dendritic calcium spikes bursts

          • Dendritic low-threshold A-type K+ channels modulation underlie calcium spike gating

          Abstract

          Climbing fibers supervise cerebellar learning expressed as calcium-dependent plasticity at the parallel synapses on Purkinje cells. Otsu et al. find that activity-dependent parameters control heterosynaptic climbing fiber signaling by gating calcium spikes in Purkinje cell dendrites.

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          Most cited references61

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          Dendritic excitability and synaptic plasticity.

          Most synaptic inputs are made onto the dendritic tree. Recent work has shown that dendrites play an active role in transforming synaptic input into neuronal output and in defining the relationships between active synapses. In this review, we discuss how these dendritic properties influence the rules governing the induction of synaptic plasticity. We argue that the location of synapses in the dendritic tree, and the type of dendritic excitability associated with each synapse, play decisive roles in determining the plastic properties of that synapse. Furthermore, since the electrical properties of the dendritic tree are not static, but can be altered by neuromodulators and by synaptic activity itself, we discuss how learning rules may be dynamically shaped by tuning dendritic function. We conclude by describing how this reciprocal relationship between plasticity of dendritic excitability and synaptic plasticity has changed our view of information processing and memory storage in neuronal networks.
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            K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons.

            Pyramidal neurons receive tens of thousands of synaptic inputs on their dendrites. The dendrites dynamically alter the strengths of these synapses and coordinate them to produce an output in ways that are not well understood. Surprisingly, there turns out to be a very high density of transient A-type potassium ion channels in dendrites of hippocampal CA1 pyramidal neurons. These channels prevent initiation of an action potential in the dendrites, limit the back-propagation of action potentials into the dendrites, and reduce excitatory synaptic events. The channels act to prevent large, rapid dendritic depolarizations, thereby regulating orthograde and retrograde propagation of dendritic potentials.
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              Integration of quanta in cerebellar granule cells during sensory processing.

              To understand the computations performed by the input layers of cortical structures, it is essential to determine the relationship between sensory-evoked synaptic input and the resulting pattern of output spikes. In the cerebellum, granule cells constitute the input layer, translating mossy fibre signals into parallel fibre input to Purkinje cells. Until now, their small size and dense packing have precluded recordings from individual granule cells in vivo. Here we use whole-cell patch-clamp recordings to show the relationship between mossy fibre synaptic currents evoked by somatosensory stimulation and the resulting granule cell output patterns. Granule cells exhibited a low ongoing firing rate, due in part to dampening of excitability by a tonic inhibitory conductance mediated by GABA(A) (gamma-aminobutyric acid type A) receptors. Sensory stimulation produced bursts of mossy fibre excitatory postsynaptic currents (EPSCs) that summate to trigger bursts of spikes. Notably, these spike bursts were evoked by only a few quantal EPSCs, and yet spontaneous mossy fibre inputs triggered spikes only when inhibition was reduced. Our results reveal that the input layer of the cerebellum balances exquisite sensitivity with a high signal-to-noise ratio. Granule cell bursts are optimally suited to trigger glutamate receptor activation and plasticity at parallel fibre synapses, providing a link between input representation and memory storage in the cerebellum.
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                Author and article information

                Contributors
                Journal
                Neuron
                Neuron
                Neuron
                Cell Press
                0896-6273
                1097-4199
                01 October 2014
                01 October 2014
                : 84
                : 1
                : 137-151
                Affiliations
                [1 ]Inhibitory Transmission Team, IBENS, CNRS UMR UMR8197, INSERM U1024, Ecole Normale Supérieure, 75005 Paris, France
                [2 ]Cerebellum Group, IBENS, CNRS UMR UMR8197, INSERM U1024, Ecole Normale Supérieure, 75005 Paris, France
                [3 ]Institut des Neurosciences Cellulaires et Intégratives, CNRS UPR 3212, 67000-Strasbourg, France
                [4 ]Laboratory of Cellular Neurophysiology, Institute of Experimental Medicine of the Hungarian Academy of Sciences, 1083 Budapest, Hungary
                [5 ]Imaging Facility, IBENS, CNRS UMR 8197, INSERM U1024, Ecole Normale Supérieure, 75005 Paris, France
                [6 ]Department of Neurophysiology, Graduate School of Medicine, University of Tokyo, Tokyo 113-0033, Japan
                [7 ]Center for Transdisciplinary Research, Niigata University, Niigata 950-2181, Japan
                [8 ]Department of Cellular Neurobiology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
                Author notes
                []Corresponding author dieudon@ 123456biologie.ens.fr
                Article
                S0896-6273(14)00736-3
                10.1016/j.neuron.2014.08.035
                4183427
                25220810
                68f01200-f2e1-48fc-bf5e-a4ce1a589231
                © 2014 The Authors. Published by Elsevier Inc.
                History
                : 17 August 2014
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                Neurosciences
                Neurosciences

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