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      Spatiotemporal patterns of neocortical activity around hippocampal sharp-wave ripples

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          Abstract

          A prevalent model is that sharp-wave ripples (SWR) arise ‘spontaneously’ in CA3 and propagate recent memory traces outward to the neocortex to facilitate memory consolidation there. Using voltage and extracellular glutamate transient recording over widespread regions of mice dorsal neocortex in relation to CA1 multiunit activity (MUA) and SWR, we find that the largest SWR-related modulation occurs in retrosplenial cortex; however, contrary to the unidirectional hypothesis, neocortical activation exhibited a continuum of activation timings relative to SWRs, varying from leading to lagging. Thus, contrary to the model in which SWRs arise ‘spontaneously’ in the hippocampus, neocortical activation often precedes SWRs and may thus constitute a trigger event in which neocortical information seeds associative reactivation of hippocampal ‘indices’. This timing continuum is consistent with a dynamics in which older, more consolidated memories may in fact initiate the hippocampal-neocortical dialog, whereas reactivation of newer memories may be initiated predominantly in the hippocampus.

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          Most cited references68

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          Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.

          An increasingly powerful approach for studying brain circuits relies on targeting genetically encoded sensors and effectors to specific cell types. However, current approaches for this are still limited in functionality and specificity. Here we utilize several intersectional strategies to generate multiple transgenic mouse lines expressing high levels of novel genetic tools with high specificity. We developed driver and double reporter mouse lines and viral vectors using the Cre/Flp and Cre/Dre double recombinase systems and established a new, retargetable genomic locus, TIGRE, which allowed the generation of a large set of Cre/tTA-dependent reporter lines expressing fluorescent proteins, genetically encoded calcium, voltage, or glutamate indicators, and optogenetic effectors, all at substantially higher levels than before. High functionality was shown in example mouse lines for GCaMP6, YCX2.60, VSFP Butterfly 1.2, and Jaws. These novel transgenic lines greatly expand the ability to monitor and manipulate neuronal activities with increased specificity.
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            An optimized fluorescent probe for visualizing glutamate neurotransmission

            We describe an intensity-based glutamate-sensing fluorescent reporter (“iGluSnFR”) with signal-to-noise ratio and kinetics appropriate for in vivo imaging. We engineered iGluSnFR in vitro to maximize its fluorescence change, and validated its utility for visualizing glutamate release by neurons and astrocytes in increasingly intact neurological systems. In hippocampal culture, iGluSnFR detected single field stimulus-evoked glutamate release events. In pyramidal neurons in acute brain slices, glutamate uncaging at single spines showed that iGluSnFR responds robustly and specifically to glutamate in situ, and responses correlate with voltage changes. In mouse retina, iGluSnFR-expressing neurons showed intact light-evoked excitatory currents, and the sensor revealed tonic glutamate signaling in response to light stimuli. In worms, glutamate signals preceded and predicted post-synaptic calcium transients. In zebrafish, iGluSnFR revealed spatial organization of direction-selective synaptic activity in the optic tectum. Finally, in mouse forelimb motor cortex, iGluSnFR expression in layer V pyramidal neurons revealed task-dependent single-spine activity during running.
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              Neural networks of the mouse neocortex.

              Numerous studies have examined the neuronal inputs and outputs of many areas within the mammalian cerebral cortex, but how these areas are organized into neural networks that communicate across the entire cortex is unclear. Over 600 labeled neuronal pathways acquired from tracer injections placed across the entire mouse neocortex enabled us to generate a cortical connectivity atlas. A total of 240 intracortical connections were manually reconstructed within a common neuroanatomic framework, forming a cortico-cortical connectivity map that facilitates comparison of connections from different cortical targets. Connectivity matrices were generated to provide an overview of all intracortical connections and subnetwork clusterings. The connectivity matrices and cortical map revealed that the entire cortex is organized into four somatic sensorimotor, two medial, and two lateral subnetworks that display unique topologies and can interact through select cortical areas. Together, these data provide a resource that can be used to further investigate cortical networks and their corresponding functions. Copyright © 2014 Elsevier Inc. All rights reserved.
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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
                13 March 2020
                2020
                : 9
                : e51972
                Affiliations
                [1 ]Canadian Centre for Behavioral Neuroscience, University of Lethbridge LethbridgeCanada
                [2 ]Department of Electrical Engineering and Computer Science, University of California IrvineUnited States
                [3 ]Medical Scientist Training Program, University of California IrvineUnited States
                [4 ]Department of Neurobiology and Behavior, University of California IrvineUnited States
                Indian Institute of Science Bangalore India
                University of Texas at Austin United States
                Indian Institute of Science Bangalore India
                Indian Institute of Science Bangalore India
                Author information
                https://orcid.org/0000-0003-4175-7598
                https://orcid.org/0000-0003-1608-1469
                https://orcid.org/0000-0002-4937-1780
                https://orcid.org/0000-0003-0964-2977
                Article
                51972
                10.7554/eLife.51972
                7096182
                32167467
                87940eb2-de84-4e49-840d-345340d3f251
                © 2020, Karimi Abadchi 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
                : 18 September 2019
                : 11 March 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: 40352
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: 1631465
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000145, Alberta Innovates - Health Solutions;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: 390930
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: 156040
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000185, Defense Advanced Research Projects Agency;
                Award ID: HR0011-18-2-0021
                Award Recipient :
                Funded by: Alberta Prion Research Institute;
                Award ID: 43568
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                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
                The hippocampus and neocortex engage in waves of mutual excitation wherein a sharp wave-ripple may occur at any time before, during or after the peak of the hippocampal-neocortical activation.

                Life sciences
                hippocampus,neocortex,hippocampal-neocortical interaction,memory consolidation,sharp-wave ripple,wide-field mesoscale optical imaging,mouse

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