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      Purkinje cell misfiring generates high-amplitude action tremors that are corrected by cerebellar deep brain stimulation

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          Abstract

          Tremor is currently ranked as the most common movement disorder. The brain regions and neural signals that initiate the debilitating shakiness of different body parts remain unclear. Here, we found that genetically silencing cerebellar Purkinje cell output blocked tremor in mice that were given the tremorgenic drug harmaline. We show in awake behaving mice that the onset of tremor is coincident with rhythmic Purkinje cell firing, which alters the activity of their target cerebellar nuclei cells. We mimic the tremorgenic action of the drug with optogenetics and present evidence that highly patterned Purkinje cell activity drives a powerful tremor in otherwise normal mice. Modulating the altered activity with deep brain stimulation directed to the Purkinje cell output in the cerebellar nuclei reduced tremor in freely moving mice. Together, the data implicate Purkinje cell connectivity as a neural substrate for tremor and a gateway for signals that mediate the disease.

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          Most cited references96

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          Cerebellar circuitry as a neuronal machine.

          Masao ITO (2006)
          Shortly after John Eccles completed his studies of synaptic inhibition in the spinal cord, for which he was awarded the 1963 Nobel Prize in physiology/medicine, he opened another chapter of neuroscience with his work on the cerebellum. From 1963 to 1967, Eccles and his colleagues in Canberra successfully dissected the complex neuronal circuitry in the cerebellar cortex. In the 1967 monograph, "The Cerebellum as a Neuronal Machine", he, in collaboration with Masao Ito and Janos Szentágothai, presented blue-print-like wiring diagrams of the cerebellar neuronal circuitry. These stimulated worldwide discussions and experimentation on the potential operational mechanisms of the circuitry and spurred theoreticians to develop relevant network models of the machinelike function of the cerebellum. In following decades, the neuronal machine concept of the cerebellum was strengthened by additional knowledge of the modular organization of its structure and memory mechanism, the latter in the form of synaptic plasticity, in particular, long-term depression. Moreover, several types of motor control were established as model systems representing learning mechanisms of the cerebellum. More recently, both the quantitative preciseness of cerebellar analyses and overall knowledge about the cerebellum have advanced considerably at the cellular and molecular levels of analysis. Cerebellar circuitry now includes Lugaro cells and unipolar brush cells as additional unique elements. Other new revelations include the operation of the complex glomerulus structure, intricate signal transduction for synaptic plasticity, silent synapses, irregularity of spike discharges, temporal fidelity of synaptic activation, rhythm generators, a Golgi cell clock circuit, and sensory or motor representation by mossy fibers and climbing fibers. Furthermore, it has become evident that the cerebellum has cognitive functions, and probably also emotion, as well as better-known motor and autonomic functions. Further cerebellar research is required for full understanding of the cerebellum as a broad learning machine for neural control of these functions.
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            Mechanisms of deep brain stimulation.

            Deep brain stimulation (DBS) is widely used for the treatment of movement disorders including Parkinson's disease, essential tremor, and dystonia and, to a lesser extent, certain treatment-resistant neuropsychiatric disorders including obsessive-compulsive disorder. Rather than a single unifying mechanism, DBS likely acts via several, nonexclusive mechanisms including local and network-wide electrical and neurochemical effects of stimulation, modulation of oscillatory activity, synaptic plasticity, and, potentially, neuroprotection and neurogenesis. These different mechanisms vary in importance depending on the condition being treated and the target being stimulated. Here we review each of these in turn and illustrate how an understanding of these mechanisms is inspiring next-generation approaches to DBS.
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              Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons.

              1. In neocortical slices, the majority of neurons fire quite regularly in response to constant current injections. But neurons in the intact animal fire irregularly in response to constant current injection as well as to visual stimuli. 2. To quantify this observation, we developed a new measure of variability, which compares only adjacent interspike intervals and is therefore less sensitive to rate variations than existing measures such as the coefficient of variation of interspike intervals. 3. We find that the variability of firing is much higher in cells of primary visual cortex in the anesthetized cat than in slice. The response to current injected from an intracellular electrode in vivo is also variable, but slightly more regular and less bursty than in response to visual stimuli. 4. Using a new technique for analyzing the variability of integrate-and-fire neurons, we prove that this behavior is consistent with a simple integrate-and-fire model receiving a large amount of synaptic background activity, but not with a noisy spiking mechanism.
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                Author and article information

                Contributors
                Role: Senior Editor
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                17 March 2020
                2020
                : 9
                : e51928
                Affiliations
                [1 ]Department of Pathology and Immunology, Baylor College of Medicine HoustonUnited States
                [2 ]Department of Neuroscience, Baylor College of Medicine HoustonUnited States
                [3 ]Jan and Dan Duncan Neurological Research Institute of Texas Children's Hospital HoustonUnited States
                [4 ]Development, Disease Models & Therapeutics Graduate Program, Baylor College of Medicine HoustonUnited States
                University of California, Berkeley United States
                Champalimaud Foundation Portugal
                Champalimaud Foundation Portugal
                Erasmus MC Netherlands
                Author information
                https://orcid.org/0000-0002-1484-8972
                http://orcid.org/0000-0003-0801-8806
                http://orcid.org/0000-0003-1731-8800
                https://orcid.org/0000-0002-6177-6190
                Article
                51928
                10.7554/eLife.51928
                7077982
                32180549
                bcb0aa97-7707-4fd0-af8d-6b2fc5bddde3
                © 2020, Brown et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 17 September 2019
                : 26 February 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000065, National Institute of Neurological Disorders and Stroke;
                Award ID: F31NS101891
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000065, National Institute of Neurological Disorders and Stroke;
                Award ID: F31NS092264
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000065, National Institute of Neurological Disorders and Stroke;
                Award ID: R01NS089664
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000065, National Institute of Neurological Disorders and Stroke;
                Award ID: R01NS100874
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100009633, Eunice Kennedy Shriver National Institute of Child Health and Human Development;
                Award ID: U54HD083092
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007915, Baylor College of Medicine;
                Award ID: IDDRC Project Development Award
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007137, Texas Children's Hospital;
                Award Recipient :
                Funded by: Hamill Foundation;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007856, Baylor College of Medicine;
                Award ID: Mrs. Clifford Elder White Graham Endowed Research Fund
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100001477, Bachmann-Strauss Dystonia and Parkinson Foundation;
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                Genetic, pharmacologic, and optogenetic manipulations demonstrate that Purkinje cells can trigger and propagate the signals for tremor.

                Life sciences
                tremor,cerebellum,purkinje,optogenetics,electrophysiology,deep brain stimulation,mouse
                Life sciences
                tremor, cerebellum, purkinje, optogenetics, electrophysiology, deep brain stimulation, mouse

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