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      Probabilistic, spinally-gated control of bladder pressure and autonomous micturition by Barrington’s nucleus CRH neurons

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          Abstract

          Micturition requires precise control of bladder and urethral sphincter via parasympathetic, sympathetic and somatic motoneurons. This involves a spino-bulbospinal control circuit incorporating Barrington’s nucleus in the pons (Barr). Ponto-spinal glutamatergic neurons that express corticotrophin-releasing hormone (CRH) form one of the largest Barr cell populations. Barr CRH neurons can generate bladder contractions, but it is unknown whether they act as a simple switch or provide a high-fidelity pre-parasympathetic motor drive and whether their activation can actually trigger voids. Combined opto- and chemo-genetic manipulations along with multisite extracellular recordings in urethane anaesthetised CRH Cre mice show that Barr CRH neurons provide a probabilistic drive that generates co-ordinated voids or non-voiding contractions depending on the phase of the micturition cycle. CRH itself provides negative feedback regulation of this process. These findings inform a new inferential model of autonomous micturition and emphasise the importance of the state of the spinal gating circuit in the generation of voiding.

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          A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex.

          A key obstacle to understanding neural circuits in the cerebral cortex is that of unraveling the diversity of GABAergic interneurons. This diversity poses general questions for neural circuit analysis: how are these interneuron cell types generated and assembled into stereotyped local circuits and how do they differentially contribute to circuit operations that underlie cortical functions ranging from perception to cognition? Using genetic engineering in mice, we have generated and characterized approximately 20 Cre and inducible CreER knockin driver lines that reliably target major classes and lineages of GABAergic neurons. More select populations are captured by intersection of Cre and Flp drivers. Genetic targeting allows reliable identification, monitoring, and manipulation of cortical GABAergic neurons, thereby enabling a systematic and comprehensive analysis from cell fate specification, migration, and connectivity, to their functions in network dynamics and behavior. As such, this approach will accelerate the study of GABAergic circuits throughout the mammalian brain. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels

            Advances in silicon probe technology mean that in vivo electrophysiological recordings from hundreds of channels will soon become commonplace. To interpret these recordings we need fast, scalable and accurate methods for spike sorting, whose output requires minimal time for manual curation. Here we introduce Kilosort, a spike sorting framework that meets these criteria, and show that it allows rapid and accurate sorting of large-scale in vivo data. Kilosort models the recorded voltage as a sum of template waveforms triggered on the spike times, allowing overlapping spikes to be identified and resolved. Rapid processing is achieved thanks to a novel low-dimensional approximation for the spatiotemporal distribution of each template, and to batch-based optimization on GPUs. A novel post-clustering merging step based on the continuity of the templates substantially reduces the requirement for subsequent manual curation operations. We compare Kilosort to an established algorithm on data obtained from 384-channel electrodes, and show superior performance, at much reduced processing times. Data from 384-channel electrode arrays can be processed in approximately realtime. Kilosort is an important step towards fully automated spike sorting of multichannel electrode recordings, and is freely available github.com/cortex-lab/Kilosort.
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              Targeting and readout strategies for fast optical neural control in vitro and in vivo.

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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                29 April 2020
                2020
                : 9
                : e56605
                Affiliations
                [1 ]School of Physiology, Pharmacology and Neuroscience, Faculty of Life Sciences, University of Bristol BristolUnited Kingdom
                [2 ]Department of Urology, Yokohama City University Graduate School of Medicine YokohamaJapan
                [3 ]Department of Medicine and Pharmacology & Chemical Biology, University of Pittsburgh PittsburghUnited States
                [4 ]Bristol Urology Institute, Bristol Medical School, University of Bristol BristolUnited Kingdom
                [5 ]Anaesthetic, Pain and Critical Care research group, Translational Health Sciences, Bristol Medical School, University of Bristol BristolUnited Kingdom
                Howard Hughes Medical Institute, Harvard Medical School United States
                Emory University United States
                Howard Hughes Medical Institute, Harvard Medical School United States
                Howard Hughes Medical Institute, Harvard Medical School United States
                The Children's Hospital of Philadelphia United States
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-8585-3763
                https://orcid.org/0000-0003-0345-0456
                Article
                56605
                10.7554/eLife.56605
                7217699
                32347794
                8f845c84-d4a7-4eeb-a6fb-fe966b988ef8
                © 2020, Ito et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 03 March 2020
                : 28 April 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01 DK098361
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome;
                Award ID: 108899/Z/15
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                Ponto-spinal CRH neurons in Barrington’s nucleus are a core component of an inferential circuit that regulates autonomous micturition and generates voids when the bladder is full.

                Life sciences
                barrington's nucleus,micturition,bladder,brainstem,mouse
                Life sciences
                barrington's nucleus, micturition, bladder, brainstem, mouse

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