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      HCN channels at the cell soma ensure the rapid electrical reactivity of fast-spiking interneurons in human neocortex

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          Abstract

          Accumulating evidence indicates that there are substantial species differences in the properties of mammalian neurons, yet theories on circuit activity and information processing in the human brain are based heavily on results obtained from rodents and other experimental animals. This knowledge gap may be particularly important for understanding the neocortex, the brain area responsible for the most complex neuronal operations and showing the greatest evolutionary divergence. Here, we examined differences in the electrophysiological properties of human and mouse fast-spiking GABAergic basket cells, among the most abundant inhibitory interneurons in cortex. Analyses of membrane potential responses to current input, pharmacologically isolated somatic leak currents, isolated soma outside-out patch recordings, and immunohistochemical staining revealed that human neocortical basket cells abundantly express hyperpolarization-activated cyclic nucleotide-gated cation (HCN) channel isoforms HCN1 and HCN2 at the cell soma membrane, whereas these channels are sparse at the rodent basket cell soma membrane. Antagonist experiments showed that HCN channels in human neurons contribute to the resting membrane potential and cell excitability at the cell soma, accelerate somatic membrane potential kinetics, and shorten the lag between excitatory postsynaptic potentials and action potential generation. These effects are important because the soma of human fast-spiking neurons without HCN channels exhibit low persistent ion leak and slow membrane potential kinetics, compared with mouse fast-spiking neurons. HCN channels speed up human cell membrane potential kinetics and help attain an input–output rate close to that of rodent cells. Computational modeling demonstrated that HCN channel activity at the human fast-spiking cell soma membrane is sufficient to accelerate the input–output function as observed in cell recordings. Thus, human and mouse fast-spiking neurons exhibit functionally significant differences in ion channel composition at the cell soma membrane to set the speed and fidelity of their input–output function. These HCN channels ensure fast electrical reactivity of fast-spiking cells in human neocortex.

          Abstract

          This study shows that human and mouse fast-spiking neurons in neocortex of the brain exhibit differences in ion channel composition at the cell soma membrane; human neurons employ somatic HCN ion channels, ensuring rapid electrical reactivity despite the low persistent ion leak and slow membrane potential kinetics of the soma of human neurons.

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          Conserved cell types with divergent features in human versus mouse cortex

          Elucidating the cellular architecture of the human cerebral cortex is central to understanding our cognitive abilities and susceptibility to disease. Here we applied single nucleus RNA-sequencing to perform a comprehensive analysis of cell types in the middle temporal gyrus of human cortex. We identified a highly diverse set of excitatory and inhibitory neuronal types that are mostly sparse, with excitatory types being less layer-restricted than expected. Comparison to similar mouse cortex single cell RNA-sequencing datasets revealed a surprisingly well-conserved cellular architecture that enables matching of homologous types and predictions of human cell type properties. Despite this general conservation, we also find extensive differences between homologous human and mouse cell types, including dramatic alterations in proportions, laminar distributions, gene expression, and morphology. These species-specific features emphasize the importance of directly studying human brain.
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            Interneurons of the hippocampus.

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              GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits.

              Cortical networks are composed of glutamatergic excitatory projection neurons and local GABAergic inhibitory interneurons that gate signal flow and sculpt network dynamics. Although they represent a minority of the total neocortical neuronal population, GABAergic interneurons are highly heterogeneous, forming functional classes based on their morphological, electrophysiological, and molecular features, as well as connectivity and in vivo patterns of activity. Here we review our current understanding of neocortical interneuron diversity and the properties that distinguish cell types. We then discuss how the involvement of multiple cell types, each with a specific set of cellular properties, plays a crucial role in diversifying and increasing the computational power of a relatively small number of simple circuit motifs forming cortical networks. We illustrate how recent advances in the field have shed light onto the mechanisms by which GABAergic inhibition contributes to network operations.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Validation
                Role: Data curationRole: Investigation
                Role: Data curationRole: Formal analysisRole: Investigation
                Role: Data curationRole: InvestigationRole: MethodologyRole: Software
                Role: Formal analysisRole: InvestigationRole: Visualization
                Role: Data curationRole: MethodologyRole: ResourcesRole: Supervision
                Role: Resources
                Role: Formal analysisRole: InvestigationRole: SoftwareRole: Visualization
                Role: Resources
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                PLOS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                6 February 2023
                February 2023
                6 February 2023
                : 21
                : 2
                : e3002001
                Affiliations
                [1 ] Department of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary
                [2 ] Hungarian Centre of Excellence for Molecular Medicine Research Group for Human neuron physiology and therapy, Szeged, Hungary
                [3 ] Department of Optics and Quantum Electronics, University of Szeged, Szeged, Hungary
                [4 ] Department of Neurosurgery, University of Szeged, Szeged, Hungary
                [5 ] Neuronal Cell Biology Research Group, Eötvös Loránd University, Budapest, Budapest, Hungary
                [6 ] MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary
                ICM - Institut du Cerveau et de la Moelle épinière Hôpital Pitié-Salpêtrière 47, bd de l’Hôpital, FRANCE
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-4191-379X
                Article
                PBIOLOGY-D-22-00628
                10.1371/journal.pbio.3002001
                9934405
                36745683
                f2ad47bc-78d5-4c40-91f7-1ff381690c4f
                © 2023 Szegedi et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 March 2022
                : 17 January 2023
                Page count
                Figures: 6, Tables: 0, Pages: 33
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100018818, National Research, Development and Innovation Office;
                Award ID: TKP-2021-EGA-05
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100018693, HORIZON EUROPE Framework Programme;
                Award ID: 739593
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100012550, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap;
                Award ID: OTKA K 134279
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003825, Magyar Tudományos Akadémia;
                Award ID: National Brain Research Program Hungary
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100015763, Szegedi Tudományegyetem;
                Award ID: 4373
                Award Recipient :
                Project no. TKP-2021-EGA-05 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme (KL). The project has received funding from the EU’s Horizon 2020 research and innovation program under grant agreement No. 739593 (KL). In addition, this work was supported by Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, OTKA K 134279 (VS, SF, KL), Magyar Tudományos Akadémia - the National Brain Research Program Hungary (VS, and KL) and by University of Szeged Open Access Fund (Grant number: 4373). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Membrane Potential
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Cell Membranes
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Neurons
                Biology and Life Sciences
                Neuroscience
                Cellular Neuroscience
                Neurons
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Membrane Potential
                Action Potentials
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Neurophysiology
                Action Potentials
                Biology and Life Sciences
                Neuroscience
                Neurophysiology
                Action Potentials
                Research and Analysis Methods
                Immunologic Techniques
                Immunoassays
                Immunofluorescence
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Cell Membranes
                Intracellular Membranes
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Neurons
                Interneurons
                Biology and Life Sciences
                Neuroscience
                Cellular Neuroscience
                Neurons
                Interneurons
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Membrane Potential
                Excitatory Postsynaptic Potentials
                Custom metadata
                vor-update-to-uncorrected-proof
                2023-02-16
                All relevant data are within the paper and its Supporting Information files.

                Life sciences
                Life sciences

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