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      Striatal direct pathway neurons play leading roles in accelerating rotarod motor skill learning

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          Summary

          Dorsal striatum is important for movement control and motor skill learning. However, it remains unclear how the spatially and temporally distributed striatal medium spiny neuron (MSN) activity in the direct and indirect pathways (D1 and D2 MSNs, respectively) encodes motor skill learning. Combining miniature fluorescence microscopy with an accelerating rotarod procedure, we identified two distinct MSN subpopulations involved in accelerating rotarod learning. In both D1 and D2 MSNs, we observed neurons that displayed activity tuned to acceleration during early stages of trials, as well as movement speed during late stages of trials. We found a distinct evolution trajectory for early-stage neurons during motor skill learning, with the evolution of D1 MSNs correlating strongly with performance improvement. Importantly, optogenetic inhibition of the early-stage neural activity in D1 MSNs, but not D2 MSNs, impaired accelerating rotarod learning. Together, this study provides insight into striatal D1 and D2 MSNs encoding motor skill learning.

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          Highlights

          • Distinct subsets of D1 and D2 MSNs correlate with different behavioral variables

          • Intratrial early-stage D1 MSNs correlates with rotarod motor skill learning

          • Speed coding in dorsal striatum is stable across rotarod training

          • Optogenetic inhibition of early-stage D1 MSNs impairs rotarod motor skill learning

          Abstract

          Biological sciences; Neuroscience; Sensory neuroscience

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          Most cited references59

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          Ultra-sensitive fluorescent proteins for imaging neuronal activity

          Summary Fluorescent calcium sensors are widely used to image neural activity. Using structure-based mutagenesis and neuron-based screening, we developed a family of ultra-sensitive protein calcium sensors (GCaMP6) that outperformed other sensors in cultured neurons and in zebrafish, flies, and mice in vivo. In layer 2/3 pyramidal neurons of the mouse visual cortex, GCaMP6 reliably detected single action potentials in neuronal somata and orientation-tuned synaptic calcium transients in individual dendritic spines. The orientation tuning of structurally persistent spines was largely stable over timescales of weeks. Orientation tuning averaged across spine populations predicted the tuning of their parent cell. Although the somata of GABAergic neurons showed little orientation tuning, their dendrites included highly tuned dendritic segments (5 - 40 micrometers long). GCaMP6 sensors thus provide new windows into the organization and dynamics of neural circuits over multiple spatial and temporal scales.
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            Stochastic gradient boosting

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              Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data.

              We present a modular approach for analyzing calcium imaging recordings of large neuronal ensembles. Our goal is to simultaneously identify the locations of the neurons, demix spatially overlapping components, and denoise and deconvolve the spiking activity from the slow dynamics of the calcium indicator. Our approach relies on a constrained nonnegative matrix factorization that expresses the spatiotemporal fluorescence activity as the product of a spatial matrix that encodes the spatial footprint of each neuron in the optical field and a temporal matrix that characterizes the calcium concentration of each neuron over time. This framework is combined with a novel constrained deconvolution approach that extracts estimates of neural activity from fluorescence traces, to create a spatiotemporal processing algorithm that requires minimal parameter tuning. We demonstrate the general applicability of our method by applying it to in vitro and in vivo multi-neuronal imaging data, whole-brain light-sheet imaging data, and dendritic imaging data.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                12 April 2022
                20 May 2022
                12 April 2022
                : 25
                : 5
                : 104245
                Affiliations
                [1 ]Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
                [2 ]School of Electrical Engineering & Computer Science, College of Engineering & Mines, University of North Dakota, Grand Forks, ND 58202, USA
                [3 ]Department of Zoology and Physiology, University of Wyoming, 1000 E University Avenue, Laramie, WY 82071, USA
                [4 ]Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 100 N Greene St, Baltimore, MD 21201, USA
                [5 ]Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Building 49, Room 5A60, Bethesda, MD 20814, USA
                [6 ]The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe Street, Baltimore, MD 21205, USA
                Author notes
                []Corresponding author da-ting.lin@ 123456nih.gov
                [∗∗ ]Corresponding author giovanni.barbera@ 123456nih.gov
                [7]

                These authors contribute equally

                [8]

                Lead contact

                Article
                S2589-0042(22)00515-6 104245
                10.1016/j.isci.2022.104245
                9046249
                35494244
                8c5f0757-c880-4076-a8ea-8a9aff82aff8

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 1 March 2022
                : 8 March 2022
                : 7 April 2022
                Categories
                Article

                biological sciences,neuroscience,sensory neuroscience

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