Respiratory entrainment of units in the mouse parietal cortex depends on vigilance state View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-08-19

AUTHORS

Felix Jung, Yevgenij Yanovsky, Jurij Brankačk, Adriano B. L. Tort, Andreas Draguhn

ABSTRACT

Synchronous oscillations are essential for coordinated activity in neuronal networks and, hence, for behavior and cognition. While most network oscillations are generated within the central nervous system, recent evidence shows that rhythmic body processes strongly influence activity patterns throughout the brain. A major factor is respiration (Resp), which entrains multiple brain regions at the mesoscopic (local field potential) and single-cell levels. However, it is largely unknown how such Resp-driven rhythms interact or compete with internal brain oscillations, especially those with similar frequency domains. In mice, Resp and theta (θ) oscillations have overlapping frequencies and co-occur in various brain regions. Here, we investigated the effects of Resp and θ on neuronal discharges in the mouse parietal cortex during four behavioral states which either show prominent θ (REM sleep and active waking (AW)) or lack significant θ (NREM sleep and waking immobility (WI)). We report a pronounced state-dependence of spike modulation by both rhythms. During REM sleep, θ effects on unit discharges dominate, while during AW, Resp has a larger influence, despite the concomitant presence of θ oscillations. In most states, unit modulation by θ or Resp increases with mean firing rate. The preferred timing of Resp-entrained discharges (inspiration versus expiration) varies between states, indicating state-specific and different underlying mechanisms. Our findings show that neurons in an associative cortex area are differentially and state-dependently modulated by two fundamentally different processes: brain-endogenous θ oscillations and rhythmic somatic feedback signals from Resp. More... »

PAGES

1-12

References to SciGraph publications

  • 2017-03-28. Organization of prefrontal network activity by respiration-related oscillations in SCIENTIFIC REPORTS
  • 2018-12-18. Local hippocampal fast gamma rhythms precede brain-wide hyperemic patterns during spontaneous rodent REM sleep in NATURE COMMUNICATIONS
  • 2021-05-10. Breathing-driven prefrontal oscillations regulate maintenance of conditioned-fear evoked freezing independently of initiation in NATURE COMMUNICATIONS
  • 2016-08-26. Improving data quality in neuronal population recordings in NATURE NEUROSCIENCE
  • 2022-01-24. Breathing coordinates cortico-hippocampal dynamics in mice during offline states in NATURE COMMUNICATIONS
  • 2012-03-14. Choice-specific sequences in parietal cortex during a virtual-navigation decision task in NATURE
  • 2018-07-03. Task-dependent representations of stimulus and choice in mouse parietal cortex in NATURE COMMUNICATIONS
  • 2014-04-01. Whisker barrel cortex delta oscillations and gamma power in the awake mouse are linked to respiration in NATURE COMMUNICATIONS
  • 2018-04-24. Parallel detection of theta and respiration-coupled oscillations throughout the mouse brain in SCIENTIFIC REPORTS
  • 2013-01-28. Memory, navigation and theta rhythm in the hippocampal-entorhinal system in NATURE NEUROSCIENCE
  • 2022-05-31. Controlling neuronal assemblies: a fundamental function of respiration-related brain oscillations in neuronal networks in PFLÜGERS ARCHIV - EUROPEAN JOURNAL OF PHYSIOLOGY
  • 1873-10-11. The Mechanics of the Brain in SCIENTIFIC AMERICAN
  • 2021-08-11. A metabolic function of the hippocampal sharp wave-ripple in NATURE
  • 2018-04-18. Olfactory inputs modulate respiration-related rhythmic activity in the prefrontal cortex and freezing behavior in NATURE COMMUNICATIONS
  • 2017-08-21. Hippocampal sharp-wave ripples in awake mice are entrained by respiration in SCIENTIFIC REPORTS
  • 2021-03-29. The deep and slow breathing characterizing rest favors brain respiratory-drive in SCIENTIFIC REPORTS
  • 2018-02-07. Posterior parietal cortex represents sensory history and mediates its effects on behaviour in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00424-022-02727-2

    DOI

    http://dx.doi.org/10.1007/s00424-022-02727-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1150325819

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35982341


    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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden", 
              "id": "http://www.grid.ac/institutes/grid.4714.6", 
              "name": [
                "Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany", 
                "Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jung", 
            "givenName": "Felix", 
            "id": "sg:person.011647244443.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011647244443.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.7700.0", 
              "name": [
                "Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yanovsky", 
            "givenName": "Yevgenij", 
            "id": "sg:person.01146020137.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146020137.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.7700.0", 
              "name": [
                "Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Branka\u010dk", 
            "givenName": "Jurij", 
            "id": "sg:person.0662601315.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662601315.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Brain Institute, Federal University of Rio Grande Do Norte, RN 59078\u2010900, Natal, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.411233.6", 
              "name": [
                "Brain Institute, Federal University of Rio Grande Do Norte, RN 59078\u2010900, Natal, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tort", 
            "givenName": "Adriano B. L.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.7700.0", 
              "name": [
                "Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Draguhn", 
            "givenName": "Andreas", 
            "id": "sg:person.0771636446.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771636446.00"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00424-022-02708-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1148284869", 
              "https://doi.org/10.1007/s00424-022-02708-5"
            ], 
            "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/nn.4365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036076759", 
              "https://doi.org/10.1038/nn.4365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-022-28090-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1144939353", 
              "https://doi.org/10.1038/s41467-022-28090-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-021-22798-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1137880270", 
              "https://doi.org/10.1038/s41467-021-22798-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms4572", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016421903", 
              "https://doi.org/10.1038/ncomms4572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn.3304", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016300023", 
              "https://doi.org/10.1038/nn.3304"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10918", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028829942", 
              "https://doi.org/10.1038/nature10918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep45508", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084133258", 
              "https://doi.org/10.1038/srep45508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-05012-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105180701", 
              "https://doi.org/10.1038/s41467-018-05012-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-021-03811-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1140344071", 
              "https://doi.org/10.1038/s41586-021-03811-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-018-24629-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103541317", 
              "https://doi.org/10.1038/s41598-018-24629-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/scientificamerican10111873-224d", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048774377", 
              "https://doi.org/10.1038/scientificamerican10111873-224d"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-03988-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103361075", 
              "https://doi.org/10.1038/s41467-018-03988-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-09511-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091255984", 
              "https://doi.org/10.1038/s41598-017-09511-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-021-86525-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1136742762", 
              "https://doi.org/10.1038/s41598-021-86525-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature25510", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100858787", 
              "https://doi.org/10.1038/nature25510"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-08-19", 
        "datePublishedReg": "2022-08-19", 
        "description": "Synchronous oscillations are essential for coordinated activity in neuronal networks and, hence, for behavior and cognition. While most network oscillations are generated within the central nervous system, recent evidence shows that rhythmic body processes strongly influence activity patterns throughout the brain. A major factor is respiration (Resp), which entrains multiple brain regions at the mesoscopic (local field potential) and single-cell levels. However, it is largely unknown how such Resp-driven rhythms interact or compete with internal brain oscillations, especially those with similar frequency domains. In mice, Resp and theta (\u03b8) oscillations have overlapping frequencies and co-occur in various brain regions. Here, we investigated the effects of Resp and \u03b8 on neuronal discharges in the mouse parietal cortex during four behavioral states which either show prominent \u03b8 (REM sleep and active waking (AW)) or lack significant \u03b8 (NREM sleep and waking immobility (WI)). We report a pronounced state-dependence of spike modulation by both rhythms. During REM sleep, \u03b8 effects on unit discharges dominate, while during AW, Resp has a larger influence, despite the concomitant presence of \u03b8 oscillations. In most states, unit modulation by \u03b8 or Resp increases with mean firing rate. The preferred timing of Resp-entrained discharges (inspiration versus expiration) varies between states, indicating state-specific and different underlying mechanisms. Our findings show that neurons in an associative cortex area are differentially and state-dependently modulated by two fundamentally different processes: brain-endogenous \u03b8 oscillations and rhythmic somatic feedback signals from Resp.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00424-022-02727-2", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1005222", 
            "issn": [
              "0031-6768", 
              "1432-2013"
            ], 
            "name": "Pfl\u00fcgers Archiv - European Journal of Physiology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }
        ], 
        "keywords": [
          "mouse parietal cortex", 
          "parietal cortex", 
          "brain regions", 
          "central nervous system", 
          "multiple brain regions", 
          "mean firing rate", 
          "neuronal discharge", 
          "REM sleep", 
          "nervous system", 
          "concomitant presence", 
          "cortex areas", 
          "firing rate", 
          "different underlying mechanisms", 
          "respiratory entrainment", 
          "unit discharge", 
          "network oscillations", 
          "spike modulation", 
          "preferred timing", 
          "Recent evidence", 
          "vigilance states", 
          "neuronal networks", 
          "\u03b8 oscillations", 
          "brain oscillations", 
          "behavioral states", 
          "underlying mechanism", 
          "theta oscillations", 
          "cortex", 
          "single-cell level", 
          "activity patterns", 
          "rhythm", 
          "coordinated activity", 
          "mice", 
          "discharge", 
          "sleep", 
          "synchronous oscillations", 
          "neurons", 
          "brain", 
          "modulation", 
          "effect", 
          "major factor", 
          "findings", 
          "evidence", 
          "factors", 
          "levels", 
          "activity", 
          "body processes", 
          "cognition", 
          "rate", 
          "timing", 
          "presence", 
          "mechanism", 
          "respiration", 
          "patterns", 
          "frequency", 
          "feedback signal", 
          "region", 
          "resp", 
          "units", 
          "area", 
          "state", 
          "most states", 
          "influence", 
          "process", 
          "system", 
          "domain", 
          "signals", 
          "behavior", 
          "entrainment", 
          "oscillations", 
          "AW", 
          "different processes", 
          "large influence", 
          "network", 
          "frequency domain", 
          "mesoscopic"
        ], 
        "name": "Respiratory entrainment of units in the mouse parietal cortex depends on vigilance state", 
        "pagination": "1-12", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1150325819"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00424-022-02727-2"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "35982341"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00424-022-02727-2", 
          "https://app.dimensions.ai/details/publication/pub.1150325819"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T21:09", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_952.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00424-022-02727-2"
      }
    ]
     

    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.10.1007/s00424-022-02727-2'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00424-022-02727-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00424-022-02727-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00424-022-02727-2'


     

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

    232 TRIPLES      21 PREDICATES      115 URIs      90 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00424-022-02727-2 schema:about anzsrc-for:11
    2 anzsrc-for:1109
    3 schema:author N3fcac94d0d7747229b47e29d92488297
    4 schema:citation sg:pub.10.1007/s00424-022-02708-5
    5 sg:pub.10.1038/nature10918
    6 sg:pub.10.1038/nature25510
    7 sg:pub.10.1038/ncomms4572
    8 sg:pub.10.1038/nn.3304
    9 sg:pub.10.1038/nn.4365
    10 sg:pub.10.1038/s41467-018-03988-1
    11 sg:pub.10.1038/s41467-018-05012-y
    12 sg:pub.10.1038/s41467-018-07752-3
    13 sg:pub.10.1038/s41467-021-22798-6
    14 sg:pub.10.1038/s41467-022-28090-5
    15 sg:pub.10.1038/s41586-021-03811-w
    16 sg:pub.10.1038/s41598-017-09511-8
    17 sg:pub.10.1038/s41598-018-24629-z
    18 sg:pub.10.1038/s41598-021-86525-3
    19 sg:pub.10.1038/scientificamerican10111873-224d
    20 sg:pub.10.1038/srep45508
    21 schema:datePublished 2022-08-19
    22 schema:datePublishedReg 2022-08-19
    23 schema:description Synchronous oscillations are essential for coordinated activity in neuronal networks and, hence, for behavior and cognition. While most network oscillations are generated within the central nervous system, recent evidence shows that rhythmic body processes strongly influence activity patterns throughout the brain. A major factor is respiration (Resp), which entrains multiple brain regions at the mesoscopic (local field potential) and single-cell levels. However, it is largely unknown how such Resp-driven rhythms interact or compete with internal brain oscillations, especially those with similar frequency domains. In mice, Resp and theta (θ) oscillations have overlapping frequencies and co-occur in various brain regions. Here, we investigated the effects of Resp and θ on neuronal discharges in the mouse parietal cortex during four behavioral states which either show prominent θ (REM sleep and active waking (AW)) or lack significant θ (NREM sleep and waking immobility (WI)). We report a pronounced state-dependence of spike modulation by both rhythms. During REM sleep, θ effects on unit discharges dominate, while during AW, Resp has a larger influence, despite the concomitant presence of θ oscillations. In most states, unit modulation by θ or Resp increases with mean firing rate. The preferred timing of Resp-entrained discharges (inspiration versus expiration) varies between states, indicating state-specific and different underlying mechanisms. Our findings show that neurons in an associative cortex area are differentially and state-dependently modulated by two fundamentally different processes: brain-endogenous θ oscillations and rhythmic somatic feedback signals from Resp.
    24 schema:genre article
    25 schema:isAccessibleForFree true
    26 schema:isPartOf sg:journal.1005222
    27 schema:keywords AW
    28 REM sleep
    29 Recent evidence
    30 activity
    31 activity patterns
    32 area
    33 behavior
    34 behavioral states
    35 body processes
    36 brain
    37 brain oscillations
    38 brain regions
    39 central nervous system
    40 cognition
    41 concomitant presence
    42 coordinated activity
    43 cortex
    44 cortex areas
    45 different processes
    46 different underlying mechanisms
    47 discharge
    48 domain
    49 effect
    50 entrainment
    51 evidence
    52 factors
    53 feedback signal
    54 findings
    55 firing rate
    56 frequency
    57 frequency domain
    58 influence
    59 large influence
    60 levels
    61 major factor
    62 mean firing rate
    63 mechanism
    64 mesoscopic
    65 mice
    66 modulation
    67 most states
    68 mouse parietal cortex
    69 multiple brain regions
    70 nervous system
    71 network
    72 network oscillations
    73 neuronal discharge
    74 neuronal networks
    75 neurons
    76 oscillations
    77 parietal cortex
    78 patterns
    79 preferred timing
    80 presence
    81 process
    82 rate
    83 region
    84 resp
    85 respiration
    86 respiratory entrainment
    87 rhythm
    88 signals
    89 single-cell level
    90 sleep
    91 spike modulation
    92 state
    93 synchronous oscillations
    94 system
    95 theta oscillations
    96 timing
    97 underlying mechanism
    98 unit discharge
    99 units
    100 vigilance states
    101 θ oscillations
    102 schema:name Respiratory entrainment of units in the mouse parietal cortex depends on vigilance state
    103 schema:pagination 1-12
    104 schema:productId N6fb7c6a4bcd94210ac4306bedbc3f836
    105 N8159d845060a4a9c8ca2c8990a488862
    106 Nca3322f7d4594b0da58ea48145a5ecf4
    107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150325819
    108 https://doi.org/10.1007/s00424-022-02727-2
    109 schema:sdDatePublished 2022-11-24T21:09
    110 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    111 schema:sdPublisher N7560530e7eb14a77bdc3eb48da1db26e
    112 schema:url https://doi.org/10.1007/s00424-022-02727-2
    113 sgo:license sg:explorer/license/
    114 sgo:sdDataset articles
    115 rdf:type schema:ScholarlyArticle
    116 N00807111cd844d54ad42b187785d39f3 rdf:first sg:person.01146020137.52
    117 rdf:rest Na598dd1396b746668af9990d9af6e8c3
    118 N05f1e105cd3342e886f7afdfd43b1837 rdf:first sg:person.0771636446.00
    119 rdf:rest rdf:nil
    120 N2a0f8c92705a4955ad0d75c3218c874c schema:affiliation grid-institutes:grid.411233.6
    121 schema:familyName Tort
    122 schema:givenName Adriano B. L.
    123 rdf:type schema:Person
    124 N3fcac94d0d7747229b47e29d92488297 rdf:first sg:person.011647244443.72
    125 rdf:rest N00807111cd844d54ad42b187785d39f3
    126 N6fb7c6a4bcd94210ac4306bedbc3f836 schema:name dimensions_id
    127 schema:value pub.1150325819
    128 rdf:type schema:PropertyValue
    129 N7560530e7eb14a77bdc3eb48da1db26e schema:name Springer Nature - SN SciGraph project
    130 rdf:type schema:Organization
    131 N7dc3c89fd923441c836d2b63ee50b9d0 rdf:first N2a0f8c92705a4955ad0d75c3218c874c
    132 rdf:rest N05f1e105cd3342e886f7afdfd43b1837
    133 N8159d845060a4a9c8ca2c8990a488862 schema:name pubmed_id
    134 schema:value 35982341
    135 rdf:type schema:PropertyValue
    136 Na598dd1396b746668af9990d9af6e8c3 rdf:first sg:person.0662601315.04
    137 rdf:rest N7dc3c89fd923441c836d2b63ee50b9d0
    138 Nca3322f7d4594b0da58ea48145a5ecf4 schema:name doi
    139 schema:value 10.1007/s00424-022-02727-2
    140 rdf:type schema:PropertyValue
    141 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    142 schema:name Medical and Health Sciences
    143 rdf:type schema:DefinedTerm
    144 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
    145 schema:name Neurosciences
    146 rdf:type schema:DefinedTerm
    147 sg:journal.1005222 schema:issn 0031-6768
    148 1432-2013
    149 schema:name Pflügers Archiv - European Journal of Physiology
    150 schema:publisher Springer Nature
    151 rdf:type schema:Periodical
    152 sg:person.01146020137.52 schema:affiliation grid-institutes:grid.7700.0
    153 schema:familyName Yanovsky
    154 schema:givenName Yevgenij
    155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146020137.52
    156 rdf:type schema:Person
    157 sg:person.011647244443.72 schema:affiliation grid-institutes:grid.4714.6
    158 schema:familyName Jung
    159 schema:givenName Felix
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011647244443.72
    161 rdf:type schema:Person
    162 sg:person.0662601315.04 schema:affiliation grid-institutes:grid.7700.0
    163 schema:familyName Brankačk
    164 schema:givenName Jurij
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662601315.04
    166 rdf:type schema:Person
    167 sg:person.0771636446.00 schema:affiliation grid-institutes:grid.7700.0
    168 schema:familyName Draguhn
    169 schema:givenName Andreas
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771636446.00
    171 rdf:type schema:Person
    172 sg:pub.10.1007/s00424-022-02708-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1148284869
    173 https://doi.org/10.1007/s00424-022-02708-5
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1038/nature10918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028829942
    176 https://doi.org/10.1038/nature10918
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1038/nature25510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100858787
    179 https://doi.org/10.1038/nature25510
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1038/ncomms4572 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016421903
    182 https://doi.org/10.1038/ncomms4572
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1038/nn.3304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016300023
    185 https://doi.org/10.1038/nn.3304
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1038/nn.4365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036076759
    188 https://doi.org/10.1038/nn.4365
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1038/s41467-018-03988-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103361075
    191 https://doi.org/10.1038/s41467-018-03988-1
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1038/s41467-018-05012-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1105180701
    194 https://doi.org/10.1038/s41467-018-05012-y
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1038/s41467-018-07752-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110559594
    197 https://doi.org/10.1038/s41467-018-07752-3
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1038/s41467-021-22798-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1137880270
    200 https://doi.org/10.1038/s41467-021-22798-6
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1038/s41467-022-28090-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1144939353
    203 https://doi.org/10.1038/s41467-022-28090-5
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1038/s41586-021-03811-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1140344071
    206 https://doi.org/10.1038/s41586-021-03811-w
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1038/s41598-017-09511-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091255984
    209 https://doi.org/10.1038/s41598-017-09511-8
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/s41598-018-24629-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1103541317
    212 https://doi.org/10.1038/s41598-018-24629-z
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/s41598-021-86525-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136742762
    215 https://doi.org/10.1038/s41598-021-86525-3
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1038/scientificamerican10111873-224d schema:sameAs https://app.dimensions.ai/details/publication/pub.1048774377
    218 https://doi.org/10.1038/scientificamerican10111873-224d
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1038/srep45508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084133258
    221 https://doi.org/10.1038/srep45508
    222 rdf:type schema:CreativeWork
    223 grid-institutes:grid.411233.6 schema:alternateName Brain Institute, Federal University of Rio Grande Do Norte, RN 59078‐900, Natal, Brazil
    224 schema:name Brain Institute, Federal University of Rio Grande Do Norte, RN 59078‐900, Natal, Brazil
    225 rdf:type schema:Organization
    226 grid-institutes:grid.4714.6 schema:alternateName Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
    227 schema:name Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
    228 Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany
    229 rdf:type schema:Organization
    230 grid-institutes:grid.7700.0 schema:alternateName Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany
    231 schema:name Institute for Physiology and Pathophysiology, Heidelberg University, 69120, Heidelberg, Germany
    232 rdf:type schema:Organization
     




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


    ...