Functional ultrasound imaging of the spreading activity following optogenetic stimulation of the rat visual cortex View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-06-15

AUTHORS

M. Provansal, G. Labernède, C. Joffrois, A. Rizkallah, R. Goulet, M. Valet, W. Deschamps, U. Ferrari, A. Chaffiol, D. Dalkara, J. A. Sahel, M. Tanter, S. Picaud, G. Gauvain, F. Arcizet

ABSTRACT

Optogenetics has revolutionized neurosciences by allowing fine control of neuronal activity. An important aspect for this control is assessing the activation and/or adjusting the stimulation, which requires imaging the entire volume of optogenetically-induced neuronal activity. An ideal technique for this aim is fUS imaging, which allows one to generate brain-wide activation maps with submesoscopic spatial resolution. However, optical stimulation of the brain with blue light might lead to non-specific activations at high irradiances. fUS imaging of optogenetic activations can be obtained at these wavelengths using lower light power (< 2mW) but it limits the depth of directly activatable neurons from the cortical surface. Our main goal was to report that we can detect specific optogenetic activations in V1 even in deep layers following stimulation at the cortical surface. Here, we show the possibility to detect deep optogenetic activations in anesthetized rats expressing the red-shifted opsin ChrimsonR in V1 using fUS imaging. We demonstrate the optogenetic specificity of these activations and their neuronal origin with electrophysiological recordings. Finally, we show that the optogenetic response initiated in V1 spreads to downstream (LGN) and upstream (V2) visual areas. More... »

PAGES

12603

References to SciGraph publications

  • 2016-05-25. Neural correlates of single vessel hemodynamic responses in vivo in NATURE
  • 2019-03-28. Functional ultrasound imaging of the brain reveals propagation of task-related brain activity in behaving primates in NATURE COMMUNICATIONS
  • 2015-08-26. Optogenetics: 10 years of microbial opsins in neuroscience in NATURE NEUROSCIENCE
  • 2021-01-27. Optogenetic therapy: high spatiotemporal resolution and pattern discrimination compatible with vision restoration in non-human primates in COMMUNICATIONS BIOLOGY
  • 2014-02-09. Independent Optical Excitation of Distinct Neural Populations in NATURE METHODS
  • 2008-04-27. Light-activated channels targeted to ON bipolar cells restore visual function in retinal degeneration in NATURE NEUROSCIENCE
  • 2015-08-03. EEG and functional ultrasound imaging in mobile rats in NATURE METHODS
  • 2012-05-18. The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes in NATURE REVIEWS NEUROSCIENCE
  • 2011-07-03. Functional ultrasound imaging of the brain in NATURE METHODS
  • 2017-01-31. Light controls cerebral blood flow in naive animals in NATURE COMMUNICATIONS
  • 2008-06. What we can do and what we cannot do with fMRI in NATURE
  • 2017-10-31. Three-dimensional scanless holographic optogenetics with temporal focusing (3D-SHOT) in NATURE COMMUNICATIONS
  • 2018-05-01. High frequency neural spiking and auditory signaling by ultrafast red-shifted optogenetics in NATURE COMMUNICATIONS
  • 2010-06-10. Global and local fMRI signals driven by neurons defined optogenetically by type and wiring in NATURE
  • 2012-09-02. Saccadic eye movements evoked by optogenetic activation of primate V1 in NATURE NEUROSCIENCE
  • 2019-11-20. Mapping optogenetically-driven single-vessel fMRI with concurrent neuronal calcium recordings in the rat hippocampus in NATURE COMMUNICATIONS
  • 2019-01-02. Double-slit photoelectron interference in strong-field ionization of the neon dimer in NATURE COMMUNICATIONS
  • 2019-03-07. Mesoscopic and microscopic imaging of sensory responses in the same animal in NATURE COMMUNICATIONS
  • 2018-12-18. Local hippocampal fast gamma rhythms precede brain-wide hyperemic patterns during spontaneous rodent REM sleep in NATURE COMMUNICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-021-91972-z

    DOI

    http://dx.doi.org/10.1038/s41598-021-91972-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1138858204

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34131223


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Neurosciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Brain", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Light", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Neurons", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Optogenetics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Photic Stimulation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Rats", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Ultrasonography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Visual Cortex", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Provansal", 
            "givenName": "M.", 
            "id": "sg:person.07640317617.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07640317617.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Labern\u00e8de", 
            "givenName": "G.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Joffrois", 
            "givenName": "C.", 
            "id": "sg:person.016155372004.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016155372004.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rizkallah", 
            "givenName": "A.", 
            "id": "sg:person.012030641217.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012030641217.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Goulet", 
            "givenName": "R.", 
            "id": "sg:person.012626221617.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012626221617.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Valet", 
            "givenName": "M.", 
            "id": "sg:person.013261511250.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013261511250.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deschamps", 
            "givenName": "W.", 
            "id": "sg:person.014221162617.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014221162617.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ferrari", 
            "givenName": "U.", 
            "id": "sg:person.015445154416.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015445154416.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chaffiol", 
            "givenName": "A.", 
            "id": "sg:person.0673302301.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673302301.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dalkara", 
            "givenName": "D.", 
            "id": "sg:person.01131140130.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131140130.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Ophthalmology and Vitreo-Retinal Diseases, Fondation Ophtalmologique Rothschild, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.417888.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
                "Department of Ophthalmology, The University of Pittsburgh School of Medicine, Pittsburgh, PA 15213 USA", 
                "Department of Ophthalmology and Vitreo-Retinal Diseases, Fondation Ophtalmologique Rothschild, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sahel", 
            "givenName": "J. A.", 
            "id": "sg:person.01104041722.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104041722.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Physics for Medicine Paris, INSERM, CNRS, Ecole Sup\u00e9rieure de Physique Et de Chimie Industrielles (ESPCI Paris), Paris Sciences Et Lettres (PSL) Research University, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Physics for Medicine Paris, INSERM, CNRS, Ecole Sup\u00e9rieure de Physique Et de Chimie Industrielles (ESPCI Paris), Paris Sciences Et Lettres (PSL) Research University, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tanter", 
            "givenName": "M.", 
            "id": "sg:person.01044363775.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044363775.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Picaud", 
            "givenName": "S.", 
            "id": "sg:person.0642273724.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642273724.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gauvain", 
            "givenName": "G.", 
            "id": "sg:person.01043253243.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043253243.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.418241.a", 
              "name": [
                "Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision, 75012 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Arcizet", 
            "givenName": "F.", 
            "id": "sg:person.01171023150.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171023150.57"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/s41467-019-12850-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1122748846", 
              "https://doi.org/10.1038/s41467-019-12850-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2836", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030668007", 
              "https://doi.org/10.1038/nmeth.2836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms14191", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083396241", 
              "https://doi.org/10.1038/ncomms14191"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-07752-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110559594", 
              "https://doi.org/10.1038/s41467-018-07752-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-019-09349-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113050066", 
              "https://doi.org/10.1038/s41467-019-09349-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06976", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019522125", 
              "https://doi.org/10.1038/nature06976"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-07882-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110929190", 
              "https://doi.org/10.1038/s41467-018-07882-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrn3241", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004751033", 
              "https://doi.org/10.1038/nrn3241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1641", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019393142", 
              "https://doi.org/10.1038/nmeth.1641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-04146-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103640980", 
              "https://doi.org/10.1038/s41467-018-04146-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009338414", 
              "https://doi.org/10.1038/nature09108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature17965", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008151926", 
              "https://doi.org/10.1038/nature17965"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s42003-020-01594-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1134917167", 
              "https://doi.org/10.1038/s42003-020-01594-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-019-09082-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112602953", 
              "https://doi.org/10.1038/s41467-019-09082-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024718119", 
              "https://doi.org/10.1038/nmeth.3506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn.3210", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014760886", 
              "https://doi.org/10.1038/nn.3210"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn.2117", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042715089", 
              "https://doi.org/10.1038/nn.2117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn.4091", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049870880", 
              "https://doi.org/10.1038/nn.4091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-017-01031-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092389951", 
              "https://doi.org/10.1038/s41467-017-01031-3"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-06-15", 
        "datePublishedReg": "2021-06-15", 
        "description": "Optogenetics has revolutionized neurosciences by allowing fine control of neuronal activity. An important aspect for this control is assessing the activation and/or adjusting the stimulation, which requires imaging the entire volume of optogenetically-induced neuronal activity. An ideal technique for this aim is fUS imaging, which allows one to generate brain-wide activation maps with submesoscopic spatial resolution. However, optical stimulation of the brain with blue light might lead to non-specific activations at high irradiances. fUS imaging of optogenetic activations can be obtained at these wavelengths using lower light power (<\u20092mW) but it limits the depth of directly activatable neurons from the cortical surface. Our main goal was to report that we can detect specific optogenetic activations in V1 even in deep layers following stimulation at the cortical surface. Here, we show the possibility to detect deep optogenetic activations in anesthetized rats expressing the red-shifted opsin ChrimsonR in V1 using fUS imaging. We demonstrate the optogenetic specificity of these activations and their neuronal origin with electrophysiological recordings. Finally, we show that the optogenetic response initiated in V1 spreads to downstream (LGN) and upstream (V2) visual areas.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41598-021-91972-z", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3801173", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "11"
          }
        ], 
        "keywords": [
          "optogenetic activation", 
          "neuronal activity", 
          "rat visual cortex", 
          "cortical surface", 
          "non-specific activation", 
          "neuronal origin", 
          "optogenetic response", 
          "visual cortex", 
          "optogenetic stimulation", 
          "electrophysiological recordings", 
          "visual areas", 
          "functional ultrasound", 
          "stimulation", 
          "activation", 
          "V1", 
          "activation maps", 
          "FUS", 
          "ideal technique", 
          "rats", 
          "cortex", 
          "neurons", 
          "activity", 
          "brain", 
          "optical stimulation", 
          "ChrimsonR", 
          "ultrasound", 
          "control", 
          "deeper layers", 
          "imaging", 
          "optogenetics", 
          "recordings", 
          "aim", 
          "specificity", 
          "response", 
          "blue light", 
          "volume", 
          "important aspect", 
          "neuroscience", 
          "origin", 
          "area", 
          "goal", 
          "aspects", 
          "possibility", 
          "fine control", 
          "technique", 
          "main goal", 
          "downstream", 
          "light", 
          "resolution", 
          "entire volume", 
          "surface", 
          "spatial resolution", 
          "depth", 
          "maps", 
          "layer", 
          "low light power", 
          "power", 
          "high irradiance", 
          "light power", 
          "irradiance", 
          "wavelength", 
          "brain-wide activation maps", 
          "submesoscopic spatial resolution", 
          "fUS imaging", 
          "activatable neurons", 
          "specific optogenetic activations", 
          "deep optogenetic activations", 
          "red-shifted opsin ChrimsonR", 
          "opsin ChrimsonR", 
          "optogenetic specificity", 
          "upstream (V2) visual areas"
        ], 
        "name": "Functional ultrasound imaging of the spreading activity following optogenetic stimulation of the rat visual cortex", 
        "pagination": "12603", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1138858204"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-021-91972-z"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "34131223"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-021-91972-z", 
          "https://app.dimensions.ai/details/publication/pub.1138858204"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:56", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_887.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41598-021-91972-z"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-91972-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-91972-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-91972-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-021-91972-z'


     

    This table displays all metadata directly associated to this object as RDF triples.

    351 TRIPLES      22 PREDICATES      125 URIs      98 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-021-91972-z schema:about N26cd4cc4be6846209c733375ff66bc03
    2 N5ee6edae85184737a3f2e8286f9f688d
    3 N71c9265f5a4343efb8cef7ffea0f0858
    4 N7c4c8e8690a94496922754be4fc4453f
    5 Na0dcc1264ef44e139f19cc8b5196068b
    6 Na2311dd9b7504b748d7fd7abdbe0ca80
    7 Nda4b4fbad3fa4b4295e9c6f26759c510
    8 Ndf17b50017f24cb3b6da15ccf1a3e36f
    9 Ne26dcc4e82154c5dbe99203059b1aac1
    10 anzsrc-for:11
    11 anzsrc-for:1109
    12 schema:author N834d292cac0e4b2683b33799c2283e75
    13 schema:citation sg:pub.10.1038/nature06976
    14 sg:pub.10.1038/nature09108
    15 sg:pub.10.1038/nature17965
    16 sg:pub.10.1038/ncomms14191
    17 sg:pub.10.1038/nmeth.1641
    18 sg:pub.10.1038/nmeth.2836
    19 sg:pub.10.1038/nmeth.3506
    20 sg:pub.10.1038/nn.2117
    21 sg:pub.10.1038/nn.3210
    22 sg:pub.10.1038/nn.4091
    23 sg:pub.10.1038/nrn3241
    24 sg:pub.10.1038/s41467-017-01031-3
    25 sg:pub.10.1038/s41467-018-04146-3
    26 sg:pub.10.1038/s41467-018-07752-3
    27 sg:pub.10.1038/s41467-018-07882-8
    28 sg:pub.10.1038/s41467-019-09082-4
    29 sg:pub.10.1038/s41467-019-09349-w
    30 sg:pub.10.1038/s41467-019-12850-x
    31 sg:pub.10.1038/s42003-020-01594-w
    32 schema:datePublished 2021-06-15
    33 schema:datePublishedReg 2021-06-15
    34 schema:description Optogenetics has revolutionized neurosciences by allowing fine control of neuronal activity. An important aspect for this control is assessing the activation and/or adjusting the stimulation, which requires imaging the entire volume of optogenetically-induced neuronal activity. An ideal technique for this aim is fUS imaging, which allows one to generate brain-wide activation maps with submesoscopic spatial resolution. However, optical stimulation of the brain with blue light might lead to non-specific activations at high irradiances. fUS imaging of optogenetic activations can be obtained at these wavelengths using lower light power (< 2mW) but it limits the depth of directly activatable neurons from the cortical surface. Our main goal was to report that we can detect specific optogenetic activations in V1 even in deep layers following stimulation at the cortical surface. Here, we show the possibility to detect deep optogenetic activations in anesthetized rats expressing the red-shifted opsin ChrimsonR in V1 using fUS imaging. We demonstrate the optogenetic specificity of these activations and their neuronal origin with electrophysiological recordings. Finally, we show that the optogenetic response initiated in V1 spreads to downstream (LGN) and upstream (V2) visual areas.
    35 schema:genre article
    36 schema:inLanguage en
    37 schema:isAccessibleForFree true
    38 schema:isPartOf N6ff103b60c3144aabf0643b082b6a4e0
    39 N7161726f48e24dbe8b9b5c677cc20ff9
    40 sg:journal.1045337
    41 schema:keywords ChrimsonR
    42 FUS
    43 V1
    44 activatable neurons
    45 activation
    46 activation maps
    47 activity
    48 aim
    49 area
    50 aspects
    51 blue light
    52 brain
    53 brain-wide activation maps
    54 control
    55 cortex
    56 cortical surface
    57 deep optogenetic activations
    58 deeper layers
    59 depth
    60 downstream
    61 electrophysiological recordings
    62 entire volume
    63 fUS imaging
    64 fine control
    65 functional ultrasound
    66 goal
    67 high irradiance
    68 ideal technique
    69 imaging
    70 important aspect
    71 irradiance
    72 layer
    73 light
    74 light power
    75 low light power
    76 main goal
    77 maps
    78 neuronal activity
    79 neuronal origin
    80 neurons
    81 neuroscience
    82 non-specific activation
    83 opsin ChrimsonR
    84 optical stimulation
    85 optogenetic activation
    86 optogenetic response
    87 optogenetic specificity
    88 optogenetic stimulation
    89 optogenetics
    90 origin
    91 possibility
    92 power
    93 rat visual cortex
    94 rats
    95 recordings
    96 red-shifted opsin ChrimsonR
    97 resolution
    98 response
    99 spatial resolution
    100 specific optogenetic activations
    101 specificity
    102 stimulation
    103 submesoscopic spatial resolution
    104 surface
    105 technique
    106 ultrasound
    107 upstream (V2) visual areas
    108 visual areas
    109 visual cortex
    110 volume
    111 wavelength
    112 schema:name Functional ultrasound imaging of the spreading activity following optogenetic stimulation of the rat visual cortex
    113 schema:pagination 12603
    114 schema:productId N25ba70f735374f86991a13ae3b048556
    115 N5b85522393874e2fb6d55a8c0acf196a
    116 N5dc42b23a32b4e509ae53c9db588fcba
    117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1138858204
    118 https://doi.org/10.1038/s41598-021-91972-z
    119 schema:sdDatePublished 2022-01-01T18:56
    120 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    121 schema:sdPublisher N38217a9f0d284a4cab59012d2190471f
    122 schema:url https://doi.org/10.1038/s41598-021-91972-z
    123 sgo:license sg:explorer/license/
    124 sgo:sdDataset articles
    125 rdf:type schema:ScholarlyArticle
    126 N034a4ca48e7d4c0398237306331521a7 rdf:first sg:person.01104041722.66
    127 rdf:rest Ndda7423dd3fd4b3e842d95b8188d12c9
    128 N25ba70f735374f86991a13ae3b048556 schema:name doi
    129 schema:value 10.1038/s41598-021-91972-z
    130 rdf:type schema:PropertyValue
    131 N26cd4cc4be6846209c733375ff66bc03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Ultrasonography
    133 rdf:type schema:DefinedTerm
    134 N38217a9f0d284a4cab59012d2190471f schema:name Springer Nature - SN SciGraph project
    135 rdf:type schema:Organization
    136 N5b85522393874e2fb6d55a8c0acf196a schema:name pubmed_id
    137 schema:value 34131223
    138 rdf:type schema:PropertyValue
    139 N5dc42b23a32b4e509ae53c9db588fcba schema:name dimensions_id
    140 schema:value pub.1138858204
    141 rdf:type schema:PropertyValue
    142 N5ee6edae85184737a3f2e8286f9f688d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Brain
    144 rdf:type schema:DefinedTerm
    145 N69b22050dca4495dadf14ed1932348c1 rdf:first sg:person.01043253243.25
    146 rdf:rest Nd13db65fbcca43518b5e41be6034e302
    147 N6a3eb2f91ce849599fdad7b1ff4d81c2 rdf:first sg:person.013261511250.95
    148 rdf:rest Nb49fff7b96ae4299895d43626c8f9bdf
    149 N6f99a18f8f70460590eb083dedfbedb5 rdf:first sg:person.012030641217.62
    150 rdf:rest Nc33d69eeb8c24d508116cee7493fc591
    151 N6ff103b60c3144aabf0643b082b6a4e0 schema:issueNumber 1
    152 rdf:type schema:PublicationIssue
    153 N7161726f48e24dbe8b9b5c677cc20ff9 schema:volumeNumber 11
    154 rdf:type schema:PublicationVolume
    155 N71c9265f5a4343efb8cef7ffea0f0858 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Visual Cortex
    157 rdf:type schema:DefinedTerm
    158 N74e0044b74564cc992fc7be5f1c0763e rdf:first sg:person.016155372004.05
    159 rdf:rest N6f99a18f8f70460590eb083dedfbedb5
    160 N7c4c8e8690a94496922754be4fc4453f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Photic Stimulation
    162 rdf:type schema:DefinedTerm
    163 N834d292cac0e4b2683b33799c2283e75 rdf:first sg:person.07640317617.56
    164 rdf:rest N92dd68e0d1554d3c967704bbc601550f
    165 N88e889e7163c4524bf117608173f043c rdf:first sg:person.0642273724.04
    166 rdf:rest N69b22050dca4495dadf14ed1932348c1
    167 N92dd68e0d1554d3c967704bbc601550f rdf:first Nfe448d671a6b4526aa5a342f5eee32fd
    168 rdf:rest N74e0044b74564cc992fc7be5f1c0763e
    169 N93c88e859c2c4a3d8f94c08fe626adc4 rdf:first sg:person.015445154416.95
    170 rdf:rest Ndf45dc6c8a6e4f19b6a9befc608ebeb7
    171 Na0dcc1264ef44e139f19cc8b5196068b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Optogenetics
    173 rdf:type schema:DefinedTerm
    174 Na2311dd9b7504b748d7fd7abdbe0ca80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Light
    176 rdf:type schema:DefinedTerm
    177 Naef0277c460b496cb363cd1a8756bce5 rdf:first sg:person.01131140130.98
    178 rdf:rest N034a4ca48e7d4c0398237306331521a7
    179 Nb49fff7b96ae4299895d43626c8f9bdf rdf:first sg:person.014221162617.35
    180 rdf:rest N93c88e859c2c4a3d8f94c08fe626adc4
    181 Nc33d69eeb8c24d508116cee7493fc591 rdf:first sg:person.012626221617.43
    182 rdf:rest N6a3eb2f91ce849599fdad7b1ff4d81c2
    183 Nd13db65fbcca43518b5e41be6034e302 rdf:first sg:person.01171023150.57
    184 rdf:rest rdf:nil
    185 Nda4b4fbad3fa4b4295e9c6f26759c510 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    186 schema:name Rats
    187 rdf:type schema:DefinedTerm
    188 Ndda7423dd3fd4b3e842d95b8188d12c9 rdf:first sg:person.01044363775.43
    189 rdf:rest N88e889e7163c4524bf117608173f043c
    190 Ndf17b50017f24cb3b6da15ccf1a3e36f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    191 schema:name Animals
    192 rdf:type schema:DefinedTerm
    193 Ndf45dc6c8a6e4f19b6a9befc608ebeb7 rdf:first sg:person.0673302301.86
    194 rdf:rest Naef0277c460b496cb363cd1a8756bce5
    195 Ne26dcc4e82154c5dbe99203059b1aac1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    196 schema:name Neurons
    197 rdf:type schema:DefinedTerm
    198 Nfe448d671a6b4526aa5a342f5eee32fd schema:affiliation grid-institutes:grid.418241.a
    199 schema:familyName Labernède
    200 schema:givenName G.
    201 rdf:type schema:Person
    202 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    203 schema:name Medical and Health Sciences
    204 rdf:type schema:DefinedTerm
    205 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
    206 schema:name Neurosciences
    207 rdf:type schema:DefinedTerm
    208 sg:grant.3801173 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-021-91972-z
    209 rdf:type schema:MonetaryGrant
    210 sg:journal.1045337 schema:issn 2045-2322
    211 schema:name Scientific Reports
    212 schema:publisher Springer Nature
    213 rdf:type schema:Periodical
    214 sg:person.01043253243.25 schema:affiliation grid-institutes:grid.418241.a
    215 schema:familyName Gauvain
    216 schema:givenName G.
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043253243.25
    218 rdf:type schema:Person
    219 sg:person.01044363775.43 schema:affiliation grid-institutes:None
    220 schema:familyName Tanter
    221 schema:givenName M.
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044363775.43
    223 rdf:type schema:Person
    224 sg:person.01104041722.66 schema:affiliation grid-institutes:grid.417888.a
    225 schema:familyName Sahel
    226 schema:givenName J. A.
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104041722.66
    228 rdf:type schema:Person
    229 sg:person.01131140130.98 schema:affiliation grid-institutes:grid.418241.a
    230 schema:familyName Dalkara
    231 schema:givenName D.
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131140130.98
    233 rdf:type schema:Person
    234 sg:person.01171023150.57 schema:affiliation grid-institutes:grid.418241.a
    235 schema:familyName Arcizet
    236 schema:givenName F.
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171023150.57
    238 rdf:type schema:Person
    239 sg:person.012030641217.62 schema:affiliation grid-institutes:grid.418241.a
    240 schema:familyName Rizkallah
    241 schema:givenName A.
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012030641217.62
    243 rdf:type schema:Person
    244 sg:person.012626221617.43 schema:affiliation grid-institutes:grid.418241.a
    245 schema:familyName Goulet
    246 schema:givenName R.
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012626221617.43
    248 rdf:type schema:Person
    249 sg:person.013261511250.95 schema:affiliation grid-institutes:grid.418241.a
    250 schema:familyName Valet
    251 schema:givenName M.
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013261511250.95
    253 rdf:type schema:Person
    254 sg:person.014221162617.35 schema:affiliation grid-institutes:grid.418241.a
    255 schema:familyName Deschamps
    256 schema:givenName W.
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014221162617.35
    258 rdf:type schema:Person
    259 sg:person.015445154416.95 schema:affiliation grid-institutes:grid.418241.a
    260 schema:familyName Ferrari
    261 schema:givenName U.
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015445154416.95
    263 rdf:type schema:Person
    264 sg:person.016155372004.05 schema:affiliation grid-institutes:grid.418241.a
    265 schema:familyName Joffrois
    266 schema:givenName C.
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016155372004.05
    268 rdf:type schema:Person
    269 sg:person.0642273724.04 schema:affiliation grid-institutes:grid.418241.a
    270 schema:familyName Picaud
    271 schema:givenName S.
    272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642273724.04
    273 rdf:type schema:Person
    274 sg:person.0673302301.86 schema:affiliation grid-institutes:grid.418241.a
    275 schema:familyName Chaffiol
    276 schema:givenName A.
    277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673302301.86
    278 rdf:type schema:Person
    279 sg:person.07640317617.56 schema:affiliation grid-institutes:grid.418241.a
    280 schema:familyName Provansal
    281 schema:givenName M.
    282 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07640317617.56
    283 rdf:type schema:Person
    284 sg:pub.10.1038/nature06976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019522125
    285 https://doi.org/10.1038/nature06976
    286 rdf:type schema:CreativeWork
    287 sg:pub.10.1038/nature09108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009338414
    288 https://doi.org/10.1038/nature09108
    289 rdf:type schema:CreativeWork
    290 sg:pub.10.1038/nature17965 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008151926
    291 https://doi.org/10.1038/nature17965
    292 rdf:type schema:CreativeWork
    293 sg:pub.10.1038/ncomms14191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083396241
    294 https://doi.org/10.1038/ncomms14191
    295 rdf:type schema:CreativeWork
    296 sg:pub.10.1038/nmeth.1641 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019393142
    297 https://doi.org/10.1038/nmeth.1641
    298 rdf:type schema:CreativeWork
    299 sg:pub.10.1038/nmeth.2836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030668007
    300 https://doi.org/10.1038/nmeth.2836
    301 rdf:type schema:CreativeWork
    302 sg:pub.10.1038/nmeth.3506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024718119
    303 https://doi.org/10.1038/nmeth.3506
    304 rdf:type schema:CreativeWork
    305 sg:pub.10.1038/nn.2117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042715089
    306 https://doi.org/10.1038/nn.2117
    307 rdf:type schema:CreativeWork
    308 sg:pub.10.1038/nn.3210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014760886
    309 https://doi.org/10.1038/nn.3210
    310 rdf:type schema:CreativeWork
    311 sg:pub.10.1038/nn.4091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049870880
    312 https://doi.org/10.1038/nn.4091
    313 rdf:type schema:CreativeWork
    314 sg:pub.10.1038/nrn3241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004751033
    315 https://doi.org/10.1038/nrn3241
    316 rdf:type schema:CreativeWork
    317 sg:pub.10.1038/s41467-017-01031-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092389951
    318 https://doi.org/10.1038/s41467-017-01031-3
    319 rdf:type schema:CreativeWork
    320 sg:pub.10.1038/s41467-018-04146-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103640980
    321 https://doi.org/10.1038/s41467-018-04146-3
    322 rdf:type schema:CreativeWork
    323 sg:pub.10.1038/s41467-018-07752-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110559594
    324 https://doi.org/10.1038/s41467-018-07752-3
    325 rdf:type schema:CreativeWork
    326 sg:pub.10.1038/s41467-018-07882-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110929190
    327 https://doi.org/10.1038/s41467-018-07882-8
    328 rdf:type schema:CreativeWork
    329 sg:pub.10.1038/s41467-019-09082-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112602953
    330 https://doi.org/10.1038/s41467-019-09082-4
    331 rdf:type schema:CreativeWork
    332 sg:pub.10.1038/s41467-019-09349-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1113050066
    333 https://doi.org/10.1038/s41467-019-09349-w
    334 rdf:type schema:CreativeWork
    335 sg:pub.10.1038/s41467-019-12850-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1122748846
    336 https://doi.org/10.1038/s41467-019-12850-x
    337 rdf:type schema:CreativeWork
    338 sg:pub.10.1038/s42003-020-01594-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1134917167
    339 https://doi.org/10.1038/s42003-020-01594-w
    340 rdf:type schema:CreativeWork
    341 grid-institutes:None schema:alternateName Physics for Medicine Paris, INSERM, CNRS, Ecole Supérieure de Physique Et de Chimie Industrielles (ESPCI Paris), Paris Sciences Et Lettres (PSL) Research University, 75012 Paris, France
    342 schema:name Physics for Medicine Paris, INSERM, CNRS, Ecole Supérieure de Physique Et de Chimie Industrielles (ESPCI Paris), Paris Sciences Et Lettres (PSL) Research University, 75012 Paris, France
    343 rdf:type schema:Organization
    344 grid-institutes:grid.417888.a schema:alternateName Department of Ophthalmology and Vitreo-Retinal Diseases, Fondation Ophtalmologique Rothschild, 75012 Paris, France
    345 schema:name Department of Ophthalmology and Vitreo-Retinal Diseases, Fondation Ophtalmologique Rothschild, 75012 Paris, France
    346 Department of Ophthalmology, The University of Pittsburgh School of Medicine, Pittsburgh, PA 15213 USA
    347 Sorbonne Université, INSERM, CNRS, Institut de la Vision, 75012 Paris, France
    348 rdf:type schema:Organization
    349 grid-institutes:grid.418241.a schema:alternateName Sorbonne Université, INSERM, CNRS, Institut de la Vision, 75012 Paris, France
    350 schema:name Sorbonne Université, INSERM, CNRS, Institut de la Vision, 75012 Paris, France
    351 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...