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      Up and Down States During Slow Oscillations in Slow-Wave Sleep and Different Levels of Anesthesia

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          Abstract

          Slow oscillations are a pattern of synchronized network activity generated by the cerebral cortex. They consist of Up and Down states, which are periods of activity interspersed with periods of silence, respectively. However, even when this is a unique dynamic regime of transitions between Up and Down states, this pattern is not constant: there is a range of oscillatory frequencies (0.1–4 Hz), and the duration of Up vs. Down states during the cycles is variable. This opens many questions. Is there a constant relationship between the duration of Up and Down states? How much do they vary across conditions and oscillatory frequencies? Are there different sub regimes within the slow oscillations? To answer these questions, we aimed to explore a concrete aspect of slow oscillations, Up and Down state durations, across three conditions: deep anesthesia, light anesthesia, and slow-wave sleep (SWS), in the same chronically implanted rats. We found that light anesthesia and SWS have rather similar properties, occupying a small area of the Up and Down state duration space. Deeper levels of anesthesia occupy a larger region of this space, revealing that a large variety of Up and Down state durations can emerge within the slow oscillatory regime. In a network model, we investigated the network parameters that can explain the different points within our bifurcation diagram in which slow oscillations are expressed.

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          Most cited references39

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          Reconstruction and Simulation of Neocortical Microcircuitry.

          We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm(3) containing ~31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ~8 million connections with ~37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.
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            The memory function of sleep.

            Sleep has been identified as a state that optimizes the consolidation of newly acquired information in memory, depending on the specific conditions of learning and the timing of sleep. Consolidation during sleep promotes both quantitative and qualitative changes of memory representations. Through specific patterns of neuromodulatory activity and electric field potential oscillations, slow-wave sleep (SWS) and rapid eye movement (REM) sleep support system consolidation and synaptic consolidation, respectively. During SWS, slow oscillations, spindles and ripples - at minimum cholinergic activity - coordinate the re-activation and redistribution of hippocampus-dependent memories to neocortical sites, whereas during REM sleep, local increases in plasticity-related immediate-early gene activity - at high cholinergic and theta activity - might favour the subsequent synaptic consolidation of memories in the cortex.
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              General anesthesia, sleep, and coma.

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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
                09 February 2021
                2021
                : 15
                : 609645
                Affiliations
                [1] 1Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS) , Barcelona, Spain
                [2] 2National Center for Radioprotection and Computational Physics, Istituto Superiore di Sanità , Rome, Italy
                [3] 3Catalan Institution for Research and Advanced Studies (ICREA) , Barcelona, Spain
                Author notes

                Edited by: Heiko J. Luhmann, Johannes Gutenberg University Mainz, Germany

                Reviewed by: Tomasz Błasiak, Jagiellonian University, Poland; Andrea Piarulli, University of Pisa, Italy

                *Correspondence: Maria V. Sanchez-Vives msanche3@ 123456clinic.cat
                Article
                10.3389/fnsys.2021.609645
                7900541
                33633546
                ad462b84-80ba-4b8f-8055-0aa49b46dc15
                Copyright © 2021 Torao-Angosto, Manasanch, Mattia and Sanchez-Vives.

                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
                : 23 September 2020
                : 12 January 2021
                Page count
                Figures: 4, Tables: 0, Equations: 1, References: 39, Pages: 9, Words: 6366
                Funding
                Funded by: Ministerio de Ciencia e Innovación 10.13039/501100004837
                Funded by: Horizon 2020 Framework Programme 10.13039/100010661
                Categories
                Neuroscience
                Brief Research Report

                Neurosciences
                up states,down states,slow oscillations,sleep,anesthesia,cerebral cortex,cortical model,slow-wave sleep

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