Journal article Open Access

An inhibitory gate for state transition in cortex

Zucca, Stefano; D'Urso, Giulia; Pasquale, Valentina; Vecchia, Dania; Pica, Giuseppe; Bovetti, Serena; Moretti, Claudio; Varani, Stefano; Molano-Mazón, Manuel; Chiappalone, Michela; Panzeri, Stefano; Fellin, Tommaso


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://zenodo.org/record/800579</identifier>
  <creators>
    <creator>
      <creatorName>Zucca, Stefano</creatorName>
      <givenName>Stefano</givenName>
      <familyName>Zucca</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>D'Urso, Giulia</creatorName>
      <givenName>Giulia</givenName>
      <familyName>D'Urso</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Pasquale, Valentina</creatorName>
      <givenName>Valentina</givenName>
      <familyName>Pasquale</familyName>
      <affiliation>Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Vecchia, Dania</creatorName>
      <givenName>Dania</givenName>
      <familyName>Vecchia</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Pica, Giuseppe</creatorName>
      <givenName>Giuseppe</givenName>
      <familyName>Pica</familyName>
      <affiliation>Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Bovetti, Serena</creatorName>
      <givenName>Serena</givenName>
      <familyName>Bovetti</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Moretti, Claudio</creatorName>
      <givenName>Claudio</givenName>
      <familyName>Moretti</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Varani, Stefano</creatorName>
      <givenName>Stefano</givenName>
      <familyName>Varani</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Molano-Mazón, Manuel</creatorName>
      <givenName>Manuel</givenName>
      <familyName>Molano-Mazón</familyName>
      <affiliation>Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Chiappalone, Michela</creatorName>
      <givenName>Michela</givenName>
      <familyName>Chiappalone</familyName>
      <affiliation>Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Panzeri, Stefano</creatorName>
      <givenName>Stefano</givenName>
      <familyName>Panzeri</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Fellin, Tommaso</creatorName>
      <givenName>Tommaso</givenName>
      <familyName>Fellin</familyName>
      <affiliation>Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy</affiliation>
    </creator>
  </creators>
  <titles>
    <title>An inhibitory gate for state transition in cortex</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>mouse</subject>
    <subject>oscillations</subject>
    <subject>neocortex</subject>
    <subject>optogenetics</subject>
    <subject>parvalbumin positive interneuron</subject>
    <subject>somatostatin positive interneuron</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-05-16</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/800579</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.7554/eLife.26177</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecfunded</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Large scale transitions between active (up) and silent (down) states during quiet wakefulness or NREM sleep regulate fundamental cortical functions and are known to involve both excitatory and inhibitory cells. However, if and how inhibition regulates these activity transitions is unclear. Using fluorescence-targeted electrophysiological recording and cell-specific optogenetic manipulation in both anesthetized and non-anesthetized mice, we found that two major classes of interneurons, the parvalbumin and the somatostatin positive cells, tightly control both up-to-down and down-to-up state transitions. Inhibitory regulation of state transition was observed under both natural and optogenetically-evoked conditions. Moreover, perturbative optogenetic experiments revealed that the inhibitory control of state transition was interneuron-type specific. Finally, local manipulation of small ensembles of interneurons affected cortical populations millimetres away from the modulated region. Together, these results demonstrate that inhibition potently gates transitions between cortical activity states, and reveal the cellular mechanisms by which local inhibitory microcircuits regulate state transitions at the mesoscale.&lt;/p&gt;</description>
    <description descriptionType="Other">Paper published in eLife: https://elifesciences.org/content/6/e26177

This work was supported by the ERC (NEURO-PATTERNS), NIH (1U01NS090576-01), FP7 (DESIRE), MIUR FIRB (RBAP11X42L) to TF, and, in part, from Flag-Era JTC Human Brain Project (SLOW-DYN) to TF and SP. M.M-M has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 699829.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/699829/">699829</awardNumber>
      <awardTitle>Encoding and Transmission of Information in the Mouse Somatosensory Cortex</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/647725/">647725</awardNumber>
      <awardTitle>How neuronal activity patterns drive behavior: novel all-optical control and monitoring of brain neuronal networks with high spatiotemporal resolution</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
33
39
views
downloads
Views 33
Downloads 39
Data volume 180.2 MB
Unique views 33
Unique downloads 38

Share

Cite as