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      Primed to Sleep: The Dynamics of Synaptic Plasticity Across Brain States

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          Abstract

          It is commonly accepted that brain plasticity occurs in wakefulness and sleep. However, how these different brain states work in concert to create long-lasting changes in brain circuitry is unclear. Considering that wakefulness and sleep are profoundly different brain states on multiple levels (e.g., cellular, molecular and network activation), it is unlikely that they operate exactly the same way. Rather it is probable that they engage different, but coordinated, mechanisms. In this article we discuss how plasticity may be divided across the sleep–wake cycle, and how synaptic changes in each brain state are linked. Our working model proposes that waking experience triggers short-lived synaptic events that are necessary for transient plastic changes and mark (i.e., ‘prime’) circuits and synapses for further processing in sleep. During sleep, synaptic protein synthesis at primed synapses leads to structural changes necessary for long-term information storage.

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          Most cited references182

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          Sleep and the price of plasticity: from synaptic and cellular homeostasis to memory consolidation and integration.

          Sleep is universal, tightly regulated, and its loss impairs cognition. But why does the brain need to disconnect from the environment for hours every day? The synaptic homeostasis hypothesis (SHY) proposes that sleep is the price the brain pays for plasticity. During a waking episode, learning statistical regularities about the current environment requires strengthening connections throughout the brain. This increases cellular needs for energy and supplies, decreases signal-to-noise ratios, and saturates learning. During sleep, spontaneous activity renormalizes net synaptic strength and restores cellular homeostasis. Activity-dependent down-selection of synapses can also explain the benefits of sleep on memory acquisition, consolidation, and integration. This happens through the offline, comprehensive sampling of statistical regularities incorporated in neuronal circuits over a lifetime. This Perspective considers the rationale and evidence for SHY and points to open issues related to sleep and plasticity. Copyright © 2014 Elsevier Inc. All rights reserved.
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            The self-tuning neuron: synaptic scaling of excitatory synapses.

            Homeostatic synaptic scaling is a form of synaptic plasticity that adjusts the strength of all of a neuron's excitatory synapses up or down to stabilize firing. Current evidence suggests that neurons detect changes in their own firing rates through a set of calcium-dependent sensors that then regulate receptor trafficking to increase or decrease the accumulation of glutamate receptors at synaptic sites. Additional mechanisms may allow local or network-wide changes in activity to be sensed through parallel pathways, generating a nested set of homeostatic mechanisms that operate over different temporal and spatial scales.
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              Synaptic tagging and long-term potentiation.

              Repeated stimulation of hippocampal neurons can induce an immediate and prolonged increase in synaptic strength that is called long-term potentiation (LTP)-the primary cellular model of memory in the mammalian brain. An early phase of LTP (lasting less than three hours) can be dissociated from late-phase LTP by using inhibitors of transcription and translation, Because protein synthesis occurs mainly in the cell body, whereas LTP is input-specific, the question arises of how the synapse specificity of late LTP is achieved without elaborate intracellular protein trafficking. We propose that LTP initiates the creation of a short-lasting protein-synthesis-independent 'synaptic tag' at the potentiated synapse which sequesters the relevant protein(s) to establish late LTP. In support of this idea, we now show that weak tetanic stimulation, which ordinarily leads only to early LTP, or repeated tetanization in the presence of protein-synthesis inhibitors, each results in protein-synthesis-dependent late LTP, provided repeated tetanization has already been applied at another input to the same population of neurons. The synaptic tag decays in less than three hours. These findings indicate that the persistence of LTP depends not only on local events during its induction, but also on the prior activity of the neuron.
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                Author and article information

                Contributors
                Journal
                Front Syst Neurosci
                Front Syst Neurosci
                Front. Syst. Neurosci.
                Frontiers in Systems Neuroscience
                Frontiers Media S.A.
                1662-5137
                01 February 2019
                2019
                : 13
                : 2
                Affiliations
                [1] 1Surrey Sleep Research Centre, University of Surrey , Guildford, United Kingdom
                [2] 2Department of Biomedical Sciences, Elson S. Floyd College of Medicine, Washington State University Spokane , Spokane, WA, United States
                Author notes

                Edited by: Sara J. Aton, University of Michigan, United States

                Reviewed by: Sidarta Ribeiro, Federal University of Rio Grande do Norte, Brazil; Barbara E. Jones, McGill University, Canada

                *Correspondence: Julie Seibt, j.seibt@ 123456surrey.ac.uk
                Article
                10.3389/fnsys.2019.00002
                6367653
                30774586
                b084df49-51b7-4596-bed9-16979706da8b
                Copyright © 2019 Seibt and Frank.

                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) and the copyright owner(s) 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
                : 11 October 2018
                : 09 January 2019
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 214, Pages: 19, Words: 0
                Categories
                Neuroscience
                Hypothesis And Theory

                Neurosciences
                sleep,experience,plasticity,tagging,excitability,priming,consolidation
                Neurosciences
                sleep, experience, plasticity, tagging, excitability, priming, consolidation

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