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      Inter-Animal Variability in Activity Phase Is Constrained by Synaptic Dynamics in an Oscillatory Network

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          Abstract

          The levels of voltage-gated and synaptic currents in the same neuron type can vary substantially across individuals. Yet, the phase relationships between neurons in oscillatory circuits are often maintained, even in the face of varying oscillation frequencies. We examined whether synaptic and intrinsic currents are matched to maintain constant activity phases across preparations, using the lateral pyloric (LP) neuron of the stomatogastric ganglion (STG) of the crab, Cancer borealis. LP produces stable oscillatory bursts on release from inhibition, with an onset phase that is independent of oscillation frequency. We quantified the parameters that define the shape of the synaptic current inputs across preparations and found no linear correlations with voltage-gated currents. However, several synaptic parameters were correlated with oscillation period and burst onset phase, suggesting they may play a role in phase maintenance. We used dynamic clamp to apply artificial synaptic inputs and found that those synaptic parameters correlated with phase and period were ineffective in influencing burst onset. Instead, parameters that showed the least variability across preparations had the greatest influence. Thus, parameters that influence circuit phasing are constrained across individuals, while those that have little effect simply co-vary with phase and frequency.

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          Most cited references112

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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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            Variability, compensation and homeostasis in neuron and network function.

            Neurons in most animals live a very long time relative to the half-lives of all of the proteins that govern excitability and synaptic transmission. Consequently, homeostatic mechanisms are necessary to ensure stable neuronal and network function over an animal's lifetime. To understand how these homeostatic mechanisms might function, it is crucial to understand how tightly regulated synaptic and intrinsic properties must be for adequate network performance, and the extent to which compensatory mechanisms allow for multiple solutions to the production of similar behaviour. Here, we use examples from theoretical and experimental studies of invertebrates and vertebrates to explore several issues relevant to understanding the precision of tuning of synaptic and intrinsic currents for the operation of functional neuronal circuits.
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              Similar network activity from disparate circuit parameters.

              It is often assumed that cellular and synaptic properties need to be regulated to specific values to allow a neuronal network to function properly. To determine how tightly neuronal properties and synaptic strengths need to be tuned to produce a given network output, we simulated more than 20 million versions of a three-cell model of the pyloric network of the crustacean stomatogastric ganglion using different combinations of synapse strengths and neuron properties. We found that virtually indistinguishable network activity can arise from widely disparate sets of underlying mechanisms, suggesting that there could be considerable animal-to-animal variability in many of the parameters that control network activity, and that many different combinations of synaptic strengths and intrinsic membrane properties can be consistent with appropriate network performance.
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                Author and article information

                Journal
                eNeuro
                eNeuro
                eneuro
                eNeuro
                eNeuro
                Society for Neuroscience
                2373-2822
                11 July 2022
                22 July 2022
                Jul-Aug 2022
                : 9
                : 4
                : ENEURO.0027-22.2022
                Affiliations
                [1]Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University , Newark, NJ 07102
                Author notes

                The authors declare no competing financial interests.

                Author contributions: H.A., D.M., and F.N. designed research; H.A. performed research; H.A., D.M., D.B., and F.N. analyzed data; H.A., D.M., D.B., and F.N. wrote the paper.

                This work was supported by NIH grant R01-MH060605.

                H. Anwar’s present address: Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962.

                D. Martinez’s present address: Cooper Medical School of Rowan University, Camden, NJ 08103.

                Correspondence should be addressed to Farzan Nadim at farzan@ 123456njit.edu .
                Author information
                https://orcid.org/0000-0003-4144-2895
                https://orcid.org/0000-0003-4144-9042
                Article
                eN-NWR-0027-22
                10.1523/ENEURO.0027-22.2022
                9319424
                35817566
                d807a2c0-8cc9-4e55-a782-1fa8a89aba40
                Copyright © 2022 Anwar 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 January 2022
                : 12 May 2022
                : 27 May 2022
                Page count
                Figures: 9, Tables: 0, Equations: 10, References: 113, Pages: 19, Words: 00
                Funding
                Funded by: HHS | NIH | National Institute of Mental Health (NIMH), doi 10.13039/100000025;
                Award ID: MH060605
                Categories
                8
                Research Article: New Research
                Sensory and Motor Systems
                Custom metadata
                July/August 2022

                correlations,dynamic clamp,oscillation,phase maintenance,stomatogastric,synaptic dynamics

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