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      Regulation and functional roles of rebound potentiation at cerebellar stellate cell—Purkinje cell synapses

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          Abstract

          Purkinje cells receive both excitatory and inhibitory synaptic inputs and send sole output from the cerebellar cortex. Long-term depression (LTD), a type of synaptic plasticity, at excitatory parallel fiber–Purkinje cell synapses has been studied extensively as a primary cellular mechanism of motor learning. On the other hand, at inhibitory synapses on a Purkinje cell, postsynaptic depolarization induces long-lasting potentiation of GABAergic synaptic transmission. This synaptic plasticity is called rebound potentiation (RP), and its molecular regulatory mechanisms have been studied. The increase in intracellular Ca 2+ concentration caused by depolarization induces RP through enhancement of GABA A receptor (GABA AR) responsiveness. RP induction depends on binding of GABA AR with GABA AR associated protein (GABARAP) which is regulated by Ca 2+/calmodulin-dependent kinase II (CaMKII). Whether RP is induced or not is determined by the balance between phosphorylation and de-phosphorylation activities regulated by intracellular Ca 2+ and by metabotropic GABA and glutamate receptors. Recent studies have revealed that the subunit composition of CaMKII has significant impact on RP induction. A Purkinje cell expresses both α- and β-CaMKII, and the latter has much higher affinity for Ca 2+/calmodulin than the former. It was shown that when the relative amount of α- to β-CaMKII is large, RP induction is suppressed. The functional significance of RP has also been studied using transgenic mice in which a peptide inhibiting association of GABARAP and GABA AR is expressed selectively in Purkinje cells. The transgenic mice show abrogation of RP and subnormal adaptation of vestibulo-ocular reflex (VOR), a type of motor learning. Thus, RP is involved in a certain type of motor learning.

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          Most cited references64

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          Distributed synergistic plasticity and cerebellar learning.

          Studies on synaptic plasticity in the context of learning have been dominated by the view that a single, particular type of plasticity forms the underlying mechanism for a particular type of learning. However, emerging evidence shows that many forms of synaptic and intrinsic plasticity at different sites are induced conjunctively during procedural memory formation in the cerebellum. Here, we review the main forms of long-term plasticity in the cerebellar cortex that underlie motor learning. We propose that the different forms of plasticity in the granular layer and the molecular layer operate synergistically in a temporally and spatially distributed manner, so as to ultimately create optimal output for behaviour.
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            GABA(A) receptors: immunocytochemical distribution of 13 subunits in the adult rat brain.

            GABA(A) receptors are ligand-operated chloride channels assembled from five subunits in a heteropentameric manner. Using immunocytochemistry, we investigated the distribution of GABA(A) receptor subunits deriving from 13 different genes (alpha1-alpha6, beta1-beta3, gamma1-gamma3 and delta) in the adult rat brain. Subunit alpha1-, beta1-, beta2-, beta3- and gamma2-immunoreactivities were found throughout the brain, although differences in their distribution were observed. Subunit alpha2-, alpha3-, alpha4-, alpha5-, alpha6-, gamma1- and delta-immunoreactivities were more confined to certain brain areas. Thus, alpha2-subunit-immunoreactivity was preferentially located in forebrain areas and the cerebellum. Subunit alpha6-immunoreactivity was only present in granule cells of the cerebellum and the cochlear nucleus, and subunit gamma1-immunoreactivity was preferentially located in the central and medial amygdaloid nuclei, in pallidal areas, the substantia nigra pars reticulata and the inferior olive. The alpha5-subunit-immunoreactivity was strongest in Ammon's horn, the olfactory bulb and hypothalamus. In contrast, alpha4-subunit-immunoreactivity was detected in the thalamus, dentate gyrus, olfactory tubercle and basal ganglia. Subunit alpha3-immunoreactivity was observed in the glomerular and external plexiform layers of the olfactory bulb, in the inner layers of the cerebral cortex, the reticular thalamic nucleus, the zonal and superficial layers of the superior colliculus, the amygdala and cranial nerve nuclei. Only faint subunit gamma3-immunoreactivity was detected in most areas; it was darkest in midbrain and pontine nuclei. Subunit delta-immunoreactivity was frequently co-distributed with alpha4 subunit-immunoreactivity, e.g. in the thalamus, striatum, outer layers of the cortex and dentate molecular layer. Striking examples of complementary distribution of certain subunit-immunoreactivities were observed. Thus, subunit alpha2-, alpha4-, beta1-, beta3- and delta-immunoreactivities were considerably more concentrated in the neostriatum than in the pallidum and entopeduncular nucleus. In contrast, labeling for the alpha1-, beta2-, gamma1- and gamma2-subunits prevailed in the pallidum compared to the striatum. With the exception of the reticular thalamic nucleus, which was prominently stained for subunits alpha3, beta1, beta3 and gamma2, most thalamic nuclei were rich in alpha1-, alpha4-, beta2- and delta-immunoreactivities. Whereas the dorsal lateral geniculate nucleus was strongly immunoreactive for subunits alpha4, beta2 and delta, the ventral lateral geniculate nucleus was predominantly labeled for subunits alpha2, alpha3, beta1, beta3 and gamma2; subunit alpha1- and alpha5-immunoreactivities were about equally distributed in both areas. In most hypothalamic areas, immunoreactivities for subunits alpha1, alpha2, beta1, beta2 and beta3 were observed. In the supraoptic nucleus, staining of conspicuous dendritic networks with subunit alpha1, alpha2, beta2, and gamma2 antibodies was contrasted by perykarya labeled for alpha5-, beta1- and delta-immunoreactivities. Among all brain regions, the median emminence was most heavily labeled for subunit beta2-immunoreactivity. In most pontine and cranial nerve nuclei and in the medulla, only subunit alpha1-, beta2- and gamma2-immunoreactivities were strong, whereas the inferior olive was significantly labeled only for subunits beta1, gamma1 and gamma2. In this study, a highly heterogeneous distribution of 13 different GABA(A) receptor subunit-immunoreactivities was observed. This distribution and the apparently typical patterns of co-distribution of these GABA(A) receptor subunits support the assumption of multiple, differently assembled GABA(A) receptor subtypes and their heterogeneous distribution within the adult rat brain.
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              The cerebellar microcircuit as an adaptive filter: experimental and computational evidence.

              Initial investigations of the cerebellar microcircuit inspired the Marr-Albus theoretical framework of cerebellar function. We review recent developments in the experimental understanding of cerebellar microcircuit characteristics and in the computational analysis of Marr-Albus models. We conclude that many Marr-Albus models are in effect adaptive filters, and that evidence for symmetrical long-term potentiation and long-term depression, interneuron plasticity, silent parallel fibre synapses and recurrent mossy fibre connectivity is strikingly congruent with predictions from adaptive-filter models of cerebellar function. This congruence suggests that insights from adaptive-filter theory might help to address outstanding issues of cerebellar function, including both microcircuit processing and extra-cerebellar connectivity.
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                Author and article information

                Journal
                Front Cell Neurosci
                Front Cell Neurosci
                Front. Cell. Neurosci.
                Frontiers in Cellular Neuroscience
                Frontiers Media S.A.
                1662-5102
                18 February 2014
                2014
                : 8
                : 42
                Affiliations
                [1] 1Department of Biophysics, Graduate School of Science, Kyoto University Kitashirakawa-Oiwake-cho Kyoto, Japan
                [2] 2Graduate School of Brain Science, Doshisha University Kyoto, Japan
                Author notes

                Edited by: Andrea Barberis, Fondazione Istituto Italiano di Tecnologia, Italy

                Reviewed by: Enrico Cherubini, International School for Advanced Studies, Italy; Laurens Bosman, Erasmus MC, Netherlands

                *Correspondence: Tomoo Hirano, Department of Biophysics, Building 1, Graduate School of Science, Kyoto University Kitashirakawa-Oiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan e-mail: thirano@ 123456neurosci.biophys.kyoto-u.ac.jp

                This article was submitted to the journal Frontiers in Cellular Neuroscience.

                Article
                10.3389/fncel.2014.00042
                3927423
                24600347
                bad8cfd4-bf8f-4d6d-aa72-895e478aedd2
                Copyright © 2014 Hirano and Kawaguchi.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 22 January 2014
                : 29 January 2014
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 70, Pages: 8, Words: 5421
                Categories
                Neuroscience
                Review Article

                Neurosciences
                cerebellum,purkinje cell,synaptic plasticity,rebound potentiation,long-term potentiation,motor learning,inhibitory synapse,gaba

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