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      Cell Type- and Layer-Specific Muscarinic Potentiation of Excitatory Synaptic Drive onto Parvalbumin Neurons in Mouse Prefrontal Cortex

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          Abstract

          Cholinergic neuromodulation is thought to shape network activity in the PFC, and thus PFC-dependent cognitive functions. ACh may modulate the activity of parvalbumin-positive (PV +) neurons, which critically regulate cortical network function. However, the mechanisms of cholinergic regulation of PV + neuron activity, and particularly of the basket cell (BC) versus chandelier cell (ChC) subtypes, are unclear. Using patch clamp recordings in acute slices, we examined the effects of the ACh receptor (AChR) agonist carbachol on the excitatory synaptic drive onto BCs or ChCs in layers 2 to 6 of mouse PFC. Carbachol increased the frequency and amplitude of spontaneous EPSCs (sEPSCs) recorded from PV + BCs in layers 3-6, but not in BCs from layer 2. Moreover, carbachol did not change the sEPSCs in ChCs, which were located exclusively in layer 2. The potentiation of sEPSCs in layers 3-6 BCs was prevented by the Na + channel blocker tetrodotoxin and was abolished by the M1-selective muscarinic AChR antagonist pirenzepine. Thus, carbachol potentiates the activity-dependent excitatory drive onto PV + neurons via M1-muscarinic AChR activation in a cell type- and layer-specific manner. In current clamp recordings with synaptic transmission blocked, carbachol directly evoked firing in deep layer pyramidal neurons (PNs). In contrast, carbachol elicited deep layer BC firing indirectly, via glutamate-mediated synaptic drive. Our data suggest that ACh powerfully regulates PFC microcircuit function by facilitating the firing of PNs that synaptically recruit deep layer PV + BC activity, possibly shaping the patterns of network activity that contribute to cognitive function.

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          Mechanisms of gamma oscillations.

          Gamma rhythms are commonly observed in many brain regions during both waking and sleep states, yet their functions and mechanisms remain a matter of debate. Here we review the cellular and synaptic mechanisms underlying gamma oscillations and outline empirical questions and controversial conceptual issues. Our main points are as follows: First, gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition. Second, gamma oscillations are short-lived and typically emerge from the coordinated interaction of excitation and inhibition, which can be detected as local field potentials. Third, gamma rhythm typically concurs with irregular firing of single neurons, and the network frequency of gamma oscillations varies extensively depending on the underlying mechanism. To document gamma oscillations, efforts should be made to distinguish them from mere increases of gamma-band power and/or increased spiking activity. Fourth, the magnitude of gamma oscillation is modulated by slower rhythms. Such cross-frequency coupling may serve to couple active patches of cortical circuits. Because of their ubiquitous nature and strong correlation with the "operational modes" of local circuits, gamma oscillations continue to provide important clues about neuronal population dynamics in health and disease.
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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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              Acetylcholine as a neuromodulator: cholinergic signaling shapes nervous system function and behavior.

              Acetylcholine in the brain alters neuronal excitability, influences synaptic transmission, induces synaptic plasticity, and coordinates firing of groups of neurons. As a result, it changes the state of neuronal networks throughout the brain and modifies their response to internal and external inputs: the classical role of a neuromodulator. Here, we identify actions of cholinergic signaling on cellular and synaptic properties of neurons in several brain areas and discuss consequences of this signaling on behaviors related to drug abuse, attention, food intake, and affect. The diverse effects of acetylcholine depend on site of release, receptor subtypes, and target neuronal population; however, a common theme is that acetylcholine potentiates behaviors that are adaptive to environmental stimuli and decreases responses to ongoing stimuli that do not require immediate action. The ability of acetylcholine to coordinate the response of neuronal networks in many brain areas makes cholinergic modulation an essential mechanism underlying complex behaviors. Copyright © 2012 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                eNeuro
                eNeuro
                eneuro
                eneuro
                eNeuro
                eNeuro
                Society for Neuroscience
                2373-2822
                31 October 2018
                15 November 2018
                Sep-Oct 2018
                : 5
                : 5
                : ENEURO.0208-18.2018
                Affiliations
                [1 ]Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine , Pittsburgh, PA 15261
                Author notes

                D.A.L. currently receives investigator-initiated research support from Pfizer and recently served as a consultant to Merck in the areas of target identification and validation and new compound development. T.B.T., T.M., Y.G., and G.G.-B. declare no competing financial interests.

                Author contributions: T.B.T., T.M., Y.G., D.A.L., G.G.-B. designed research; T.B.T., T.M., Y.G., and G.G.-B. performed research; T.B.T., T.M., Y.G. and G.G.-B. analyzed data; T.B.T., D.A.L., and G.G.-B. wrote the paper.

                This work was supported by National Institutes of Health Grants MH51234 and P50MH103204.

                T. B. Tikhonova’s present address: Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Saint Petersburg, Russia.

                Correspondence should be addressed to Guillermo Gonzalez-Burgos, Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, W1647 Biomedical Science Tower, 200 Lothrop Street, Pittsburgh PA 15261, E-mail: gburgos@ 123456pitt.edu .
                Author information
                https://orcid.org/0000-0001-7065-3304
                https://orcid.org/0000-0002-3225-6778
                https://orcid.org/0000-0002-1650-8111
                Article
                eN-NWR-0208-18
                10.1523/ENEURO.0208-18.2018
                6354785
                69182694-b42d-45fb-8bf2-9d0fb8bbda56
                Copyright © 2018 Tikhonova et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

                History
                : 21 May 2018
                : 16 October 2018
                : 22 October 2018
                Page count
                Figures: 12, Tables: 1, Equations: 0, References: 84, Pages: 21, Words: 14794
                Funding
                Funded by: NIH
                Award ID: MH51234
                Award ID: P50MH103204
                Categories
                6
                6.1
                New Research
                Neuronal Excitability
                Custom metadata
                September/October 2018

                prefrontal cortex,acetylcholine,epsc,parvalbumin,interneuron,muscarinic receptor

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