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      Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex

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          Abstract

          Cortical responses to sensory stimuli are modulated by behavioral state. In the primary visual cortex (V1), visual responses of pyramidal neurons increase during locomotion. This response gain was suggested to be mediated through inhibitory neurons, resulting in the disinhibition of pyramidal neurons. Using in vivo two-photon calcium imaging in layers 2/3 and 4 in mouse V1, we reveal that locomotion increases the activity of vasoactive intestinal peptide (VIP), somatostatin (SST) and parvalbumin (PV)-positive interneurons during visual stimulation, challenging the disinhibition model. In darkness, while most VIP and PV neurons remained locomotion responsive, SST and excitatory neurons were largely non-responsive. Context-dependent locomotion responses were found in each cell type, with the highest proportion among SST neurons. These findings establish that modulation of neuronal activity by locomotion is context-dependent and contest the generality of a disinhibitory circuit for gain control of sensory responses by behavioral state.

          DOI: http://dx.doi.org/10.7554/eLife.14985.001

          eLife digest

          How we perceive what we see depends on the context in which we see it, such as what we are doing at the time. For example, we perceive a park landscape differently when we are running through it than when we are sitting on a park bench. Behavior can also alter neuronal responses in the brain. Indeed, the neurons in the part of the brain that receives information related to vision (known as the visual cortex) respond differently to visual stimuli when an animal is moving compared to when the animal is still. However, while some recent studies revealed that specific types of neurons become more or less responsive during movement, others reported the opposite results.

          One hypothesis that would explain these contradictory findings would be if the way that behavior, in this case movement, affects neuronal responses also depends on the external context in which the movement happens. Now, Pakan et al. have tested this hypothesis by imaging the activity of different types of neurons in the primary visual cortex of mice that were either running on a treadmill or staying still. The experiments were conducted in two different contexts: in total darkness (in which the mice could not see) and in the presence of display screens (which provided the mice with visual stimulation).

          Pakan et al. confirmed that running does indeed affect the activity of specific neurons in different ways in different contexts. For example, when the mice received visual stimulation, the three main classes of neurons that send inhibitory signals in the visual cortex became more active during running. However, when the mouse ran in the dark, two of these neuron types became more active during running while the third type of neuron was unresponsive. This finding reveals more about the dynamic nature of inhibitory activity that strongly depends on the animal’s behaviour. It also shows how these neurons influence the excitatory neurons in the visual cortex, which send information to the rest of the brain for further processing towards perception.

          The next step will be to identify what precise mechanism makes these neurons respond differently in unique contexts, and to tease apart how these movement-dependent signals affect the way animals perceive visual stimuli.

          DOI: http://dx.doi.org/10.7554/eLife.14985.002

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          Most cited references36

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          Cortical interneurons that specialize in disinhibitory control

          In the mammalian cerebral cortex, the diversity of interneuronal subtypes underlies a division of labor subserving distinct modes of inhibitory control 1–7 . A unique mode of inhibitory control may be provided by inhibitory neurons that specifically suppress the firing of other inhibitory neurons. Such disinhibition could lead to the selective amplification of local processing and serve the important computational functions of gating and gain modulation 8,9 . Although several interneuron populations are known to target other interneurons to varying degrees 10–15 , little is known about interneurons specializing in disinhibition and their in vivo function. Here we show that a class of interneurons that express vasoactive intestinal polypeptide (VIP) mediates disinhibitory control in multiple areas of neocortex and is recruited by reinforcement signals. By combining optogenetic activation with single cell recordings, we examined the functional role of VIP interneurons in awake mice, and investigated the underlying circuit mechanisms in vitro in auditory and medial prefrontal cortices. We identified a basic disinhibitory circuit module in which activation of VIP interneurons transiently suppresses primarily somatostatin- and a fraction of parvalbumin-expressing inhibitory interneurons that specialize in the control of the input and output of principal cells, respectively 3,6,16,17 . During the performance of an auditory discrimination task, reinforcement signals (reward and punishment) strongly and uniformly activated VIP neurons in auditory cortex, and in turn VIP recruitment increased the gain of a functional subpopulation of principal neurons. These results reveal a specific cell-type and microcircuit underlying disinhibitory control in cortex and demonstrate that it is activated under specific behavioural conditions.
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            Principles of connectivity among morphologically defined cell types in adult neocortex.

            Since the work of Ramón y Cajal in the late 19th and early 20th centuries, neuroscientists have speculated that a complete understanding of neuronal cell types and their connections is key to explaining complex brain functions. However, a complete census of the constituent cell types and their wiring diagram in mature neocortex remains elusive. By combining octuple whole-cell recordings with an optimized avidin-biotin-peroxidase staining technique, we carried out a morphological and electrophysiological census of neuronal types in layers 1, 2/3, and 5 of mature neocortex and mapped the connectivity between more than 11,000 pairs of identified neurons. We categorized 15 types of interneurons, and each exhibited a characteristic pattern of connectivity with other interneuron types and pyramidal cells. The essential connectivity structure of the neocortical microcircuit could be captured by only a few connectivity motifs.
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              Imaging large-scale neural activity with cellular resolution in awake, mobile mice.

              We report a technique for two-photon fluorescence imaging with cellular resolution in awake, behaving mice with minimal motion artifact. The apparatus combines an upright, table-mounted two-photon microscope with a spherical treadmill consisting of a large, air-supported Styrofoam ball. Mice, with implanted cranial windows, are head restrained under the objective while their limbs rest on the ball's upper surface. Following adaptation to head restraint, mice maneuver on the spherical treadmill as their heads remain motionless. Image sequences demonstrate that running-associated brain motion is limited to approximately 2-5 microm. In addition, motion is predominantly in the focal plane, with little out-of-plane motion, making the application of a custom-designed Hidden-Markov-Model-based motion correction algorithm useful for postprocessing. Behaviorally correlated calcium transients from large neuronal and astrocytic populations were routinely measured, with an estimated motion-induced false positive error rate of <5%.
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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                23 August 2016
                2016
                : 5
                : e14985
                Affiliations
                [1 ]deptCentre for Integrative Physiology, School of Biomedical Sciences , University of Edinburgh , Edinburgh, United Kingdom
                [2 ]deptInstitute for Adaptive and Neural Computation, School of Informatics , University of Edinburgh , Edinburgh, United Kingdom
                [3 ]deptBernstein Center Freiburg, Faculty of Biology , University of Freiburg , Freiburg, Germany
                [4]University of Basel , Switzerland
                [5]University of Basel , Switzerland
                Author notes
                Author information
                http://orcid.org/0000-0001-9384-8067
                http://orcid.org/0000-0002-1883-4498
                http://orcid.org/0000-0002-3498-6221
                Article
                14985
                10.7554/eLife.14985
                5030095
                27552056
                2f4067ac-49c9-4aed-a3cc-03d3db5582da
                © 2016, Pakan 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 February 2016
                : 22 August 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: Marie Curie Actions (FP7), IEF 624461
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000848, University Of Edinburgh;
                Award ID: Doctoral Training Centre in Neuroinformatics
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000848, University Of Edinburgh;
                Award ID: Graduate School of Life Sciences
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: Doctoral Training Centre in Neuroinformatics, EP/F500385/1
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: EuroSpin Erasmus Mundus Program
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: Doctoral Training Centre in Neuroinformatics, BB/F529254/1
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: Marie Curie Actions (FP7), MC-CIG 631770
                Award Recipient :
                Funded by: Patrick Wild Centre;
                Award Recipient :
                Funded by: The Shirley Foundation;
                Award Recipient :
                Funded by: RS MacDonald Charitable Trust;
                Award ID: Seedcorn Grant 21
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: Sir Henry Dale fellowship, 102857/Z/13/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000848, University Of Edinburgh;
                Award ID: Chancellor's fellow starting grant
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: Sir Henry Dale fellowship, 102857/Z/13/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000288, Royal Society;
                Award ID: Sir Henry Dale fellowship, 102857/Z/13/Z
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Neuroscience
                Short Report
                Custom metadata
                2.5
                The three main types of inhibitory neurons in mouse primary visual cortex respond differently to locomotion in darkness and during visual stimulation, revealing context-dependent responses to changes in behavioral state.

                Life sciences
                visual cortex,locomotion,inhibitory neurons,behavioral state,awake behaving mouse,v1,primary visual cortex,somatostatin,vision,mouse

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