The swimming plus-maze test: a novel high-throughput model for assessment of anxiety-related behaviour in larval and juvenile zebrafish (Danio rerio) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Zoltán K. Varga, Áron Zsigmond, Diána Pejtsik, Máté Varga, Kornél Demeter, Éva Mikics, József Haller, Manó Aliczki

ABSTRACT

Larval zebrafish (Danio rerio) has the potential to supplement rodent models due to the availability of resource-efficient, high-throughput screening and high-resolution imaging techniques. Although behavioural models are available in larvae, only a few can be employed to assess anxiety. Here we present the swimming plus-maze (SPM) test paradigm, a tool to assess anxiety-related avoidance of shallow water bodies in early developmental stages. The "+" shaped apparatus consists of arms of different depth, representing different levels of aversiveness similarly to the rodent elevated plus-maze. The paradigm was validated (i) in larval and juvenile zebrafish, (ii) after administration of compounds affecting anxiety and (iii) in differentially aversive experimental conditions. Furthermore, we compared the SPM with conventional "anxiety tests" of zebrafish to identify their shared characteristics. We have clarified that the preference of deeper arms is ontogenetically conserved and can be abolished by anxiolytic or enhanced by anxiogenic agents, respectively. The behavioural readout is insensitive to environmental aversiveness and is unrelated to behaviours assessed by conventional tests involving young zebrafish. Taken together, we have developed a sensitive high-throughput test allowing the assessment of anxiety-related responses of zebrafish regardless of developmental stage, granting the opportunity to combine larva-based state-of-the-art methods with detailed behavioral analysis. More... »

PAGES

16590

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-34989-1

DOI

http://dx.doi.org/10.1038/s41598-018-34989-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107991098

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30410116


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "Laboratory of Translational Behavioral Neuroscience, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary", 
            "J\u00e1nos Szent\u00e1gothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Varga", 
        "givenName": "Zolt\u00e1n K.", 
        "id": "sg:person.01130334533.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130334533.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "E\u00f6tv\u00f6s Lor\u00e1nd University", 
          "id": "https://www.grid.ac/institutes/grid.5591.8", 
          "name": [
            "Department of Genetics, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zsigmond", 
        "givenName": "\u00c1ron", 
        "id": "sg:person.01023560153.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023560153.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MTA Institute of Experimental Medicine", 
          "id": "https://www.grid.ac/institutes/grid.419012.f", 
          "name": [
            "Laboratory of Translational Behavioral Neuroscience, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pejtsik", 
        "givenName": "Di\u00e1na", 
        "id": "sg:person.010112424620.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010112424620.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hungarian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.5018.c", 
          "name": [
            "Department of Genetics, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary", 
            "Semmelweis University \u201cLend\u00fclet\u201d Nephrogenetic Laboratory, Hungarian Academy of Sciences, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Varga", 
        "givenName": "M\u00e1t\u00e9", 
        "id": "sg:person.01335606412.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335606412.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MTA Institute of Experimental Medicine", 
          "id": "https://www.grid.ac/institutes/grid.419012.f", 
          "name": [
            "Unit of Behavioral Studies, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Demeter", 
        "givenName": "Korn\u00e9l", 
        "id": "sg:person.01127224203.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127224203.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MTA Institute of Experimental Medicine", 
          "id": "https://www.grid.ac/institutes/grid.419012.f", 
          "name": [
            "Laboratory of Translational Behavioral Neuroscience, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mikics", 
        "givenName": "\u00c9va", 
        "id": "sg:person.0603536244.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603536244.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MTA Institute of Experimental Medicine", 
          "id": "https://www.grid.ac/institutes/grid.419012.f", 
          "name": [
            "Laboratory of Behavioral and Stress Studies, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haller", 
        "givenName": "J\u00f3zsef", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MTA Institute of Experimental Medicine", 
          "id": "https://www.grid.ac/institutes/grid.419012.f", 
          "name": [
            "Laboratory of Translational Behavioral Neuroscience, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aliczki", 
        "givenName": "Man\u00f3", 
        "id": "sg:person.01100157437.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100157437.23"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.brainresbull.2005.03.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001648627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.brainresbull.2005.03.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001648627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0376-6357(93)90026-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002936982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jchemneu.2012.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004797614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005705586", 
          "https://doi.org/10.1038/nature12111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2009.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006884645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0028-3908(93)90166-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007184824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0028-3908(93)90166-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007184824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007331949", 
          "https://doi.org/10.1038/nrg2091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007331949", 
          "https://doi.org/10.1038/nrg2091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pbb.2009.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009206118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.euroneuro.2005.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009594045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.euroneuro.2005.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009594045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pnpbp.2010.11.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010575457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2008.06.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010644969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2011.12.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010772817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tips.2008.07.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011604397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2007.44", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012369107", 
          "https://doi.org/10.1038/nprot.2007.44"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep20788", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013081385", 
          "https://doi.org/10.1038/srep20788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1018275108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014368101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0091-3057(86)90213-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015095288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0091-3057(86)90213-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015095288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-0270(85)90031-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017675838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-0270(85)90031-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017675838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fncir.2015.00039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018134253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.05635", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018146627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0091-3057(95)00138-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019988341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2009.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021069710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fncir.2013.00109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022254434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/yco.0b013e32834de34f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025303865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/yco.0b013e32834de34f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025303865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neubiorev.2012.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025828234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuro.2008.09.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029439954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tins.2014.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029441488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pnpbp.2010.12.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032467786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physbeh.2006.08.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032799175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.anbehav.2012.01.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035202331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0149-7634(05)80079-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035338162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0149-7634(05)80079-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035338162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002130050317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035476145", 
          "https://doi.org/10.1007/s002130050317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nbd.2010.05.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035675842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2010.05.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038865157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03195394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040132614", 
          "https://doi.org/10.3758/bf03195394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02253541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040181812", 
          "https://doi.org/10.1007/bf02253541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02253541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040181812", 
          "https://doi.org/10.1007/bf02253541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrd4627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044824973", 
          "https://doi.org/10.1038/nrd4627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrd4627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044824973", 
          "https://doi.org/10.1038/nrd4627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1163/1568539x-00003029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044957976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1163/1568539x-00003029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044957976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2011.11.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046851692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00213-003-1746-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048069773", 
          "https://doi.org/10.1007/s00213-003-1746-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12868-016-0298-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048916804", 
          "https://doi.org/10.1186/s12868-016-0298-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12868-016-0298-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048916804", 
          "https://doi.org/10.1186/s12868-016-0298-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0036931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051972136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/pne0000067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056437274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/zeb.2016.1295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059328556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1387/ijdb.15272388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067191744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078170793", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/zeb.2016.1415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085304345"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Larval zebrafish (Danio rerio) has the potential to supplement rodent models due to the availability of resource-efficient, high-throughput screening and high-resolution imaging techniques. Although behavioural models are available in larvae, only a few can be employed to assess anxiety. Here we present the swimming plus-maze (SPM) test paradigm, a tool to assess anxiety-related avoidance of shallow water bodies in early developmental stages. The \"+\" shaped apparatus consists of arms of different depth, representing different levels of aversiveness similarly to the rodent elevated plus-maze. The paradigm was validated (i) in larval and juvenile zebrafish, (ii) after administration of compounds affecting anxiety and (iii) in differentially aversive experimental conditions. Furthermore, we compared the SPM with conventional \"anxiety tests\" of zebrafish to identify their shared characteristics. We have clarified that the preference of deeper arms is ontogenetically conserved and can be abolished by anxiolytic or enhanced by anxiogenic agents, respectively. The behavioural readout is insensitive to environmental aversiveness and is unrelated to behaviours assessed by conventional tests involving young zebrafish. Taken together, we have developed a sensitive high-throughput test allowing the assessment of anxiety-related responses of zebrafish regardless of developmental stage, granting the opportunity to combine larva-based state-of-the-art methods with detailed behavioral analysis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-34989-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "The swimming plus-maze test: a novel high-throughput model for assessment of anxiety-related behaviour in larval and juvenile zebrafish (Danio rerio)", 
    "pagination": "16590", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "49262a48ba05dd513a6f18d77b33af24fb74a244d1cde9ebab9aeed189e43681"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30410116"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-34989-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107991098"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-34989-1", 
      "https://app.dimensions.ai/details/publication/pub.1107991098"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000265_0000000265/records_67376_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-34989-1"
  }
]
 

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/s41598-018-34989-1'

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/s41598-018-34989-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-34989-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-34989-1'


 

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

279 TRIPLES      21 PREDICATES      76 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-34989-1 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author Na386726ddeb94edf8ca154c861908326
4 schema:citation sg:pub.10.1007/bf02253541
5 sg:pub.10.1007/s00213-003-1746-x
6 sg:pub.10.1007/s002130050317
7 sg:pub.10.1038/nature12111
8 sg:pub.10.1038/nprot.2007.44
9 sg:pub.10.1038/nrd4627
10 sg:pub.10.1038/nrg2091
11 sg:pub.10.1038/srep20788
12 sg:pub.10.1186/s12868-016-0298-z
13 sg:pub.10.3758/bf03195394
14 https://app.dimensions.ai/details/publication/pub.1078170793
15 https://doi.org/10.1016/0028-3908(93)90166-z
16 https://doi.org/10.1016/0091-3057(86)90213-3
17 https://doi.org/10.1016/0091-3057(95)00138-m
18 https://doi.org/10.1016/0165-0270(85)90031-7
19 https://doi.org/10.1016/0376-6357(93)90026-n
20 https://doi.org/10.1016/j.anbehav.2012.01.014
21 https://doi.org/10.1016/j.bbr.2008.06.007
22 https://doi.org/10.1016/j.bbr.2009.06.022
23 https://doi.org/10.1016/j.bbr.2009.11.009
24 https://doi.org/10.1016/j.bbr.2010.05.031
25 https://doi.org/10.1016/j.bbr.2011.11.041
26 https://doi.org/10.1016/j.bbr.2011.12.016
27 https://doi.org/10.1016/j.brainresbull.2005.03.021
28 https://doi.org/10.1016/j.euroneuro.2005.04.012
29 https://doi.org/10.1016/j.jchemneu.2012.10.001
30 https://doi.org/10.1016/j.nbd.2010.05.010
31 https://doi.org/10.1016/j.neubiorev.2012.09.001
32 https://doi.org/10.1016/j.neuro.2008.09.011
33 https://doi.org/10.1016/j.pbb.2009.07.009
34 https://doi.org/10.1016/j.physbeh.2006.08.026
35 https://doi.org/10.1016/j.pnpbp.2010.11.035
36 https://doi.org/10.1016/j.pnpbp.2010.12.018
37 https://doi.org/10.1016/j.tins.2014.02.011
38 https://doi.org/10.1016/j.tips.2008.07.005
39 https://doi.org/10.1016/s0149-7634(05)80079-x
40 https://doi.org/10.1037/pne0000067
41 https://doi.org/10.1073/pnas.1018275108
42 https://doi.org/10.1089/zeb.2016.1295
43 https://doi.org/10.1089/zeb.2016.1415
44 https://doi.org/10.1097/yco.0b013e32834de34f
45 https://doi.org/10.1163/1568539x-00003029
46 https://doi.org/10.1371/journal.pone.0036931
47 https://doi.org/10.1387/ijdb.15272388
48 https://doi.org/10.3389/fncir.2013.00109
49 https://doi.org/10.3389/fncir.2015.00039
50 https://doi.org/10.7554/elife.05635
51 schema:datePublished 2018-12
52 schema:datePublishedReg 2018-12-01
53 schema:description Larval zebrafish (Danio rerio) has the potential to supplement rodent models due to the availability of resource-efficient, high-throughput screening and high-resolution imaging techniques. Although behavioural models are available in larvae, only a few can be employed to assess anxiety. Here we present the swimming plus-maze (SPM) test paradigm, a tool to assess anxiety-related avoidance of shallow water bodies in early developmental stages. The "+" shaped apparatus consists of arms of different depth, representing different levels of aversiveness similarly to the rodent elevated plus-maze. The paradigm was validated (i) in larval and juvenile zebrafish, (ii) after administration of compounds affecting anxiety and (iii) in differentially aversive experimental conditions. Furthermore, we compared the SPM with conventional "anxiety tests" of zebrafish to identify their shared characteristics. We have clarified that the preference of deeper arms is ontogenetically conserved and can be abolished by anxiolytic or enhanced by anxiogenic agents, respectively. The behavioural readout is insensitive to environmental aversiveness and is unrelated to behaviours assessed by conventional tests involving young zebrafish. Taken together, we have developed a sensitive high-throughput test allowing the assessment of anxiety-related responses of zebrafish regardless of developmental stage, granting the opportunity to combine larva-based state-of-the-art methods with detailed behavioral analysis.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf N73de1bb55bd34d9b98a8e3c91d2074eb
58 Nbd07ea5edff14d23874510e6214abf03
59 sg:journal.1045337
60 schema:name The swimming plus-maze test: a novel high-throughput model for assessment of anxiety-related behaviour in larval and juvenile zebrafish (Danio rerio)
61 schema:pagination 16590
62 schema:productId N3327517641ea47a991ffe4cae7d98357
63 N50e5970fd2b4466db0674944eea317c8
64 N5eb6b6ef55bc457fb7d328241bdb8196
65 Nc8a4c7624216480891fd14dfeb4128b5
66 Nee7e57e2331b479fa375cb14bd9c345c
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107991098
68 https://doi.org/10.1038/s41598-018-34989-1
69 schema:sdDatePublished 2019-04-11T08:07
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher N2a13c92ee8264da5a7caf3e66b0e8055
72 schema:url https://www.nature.com/articles/s41598-018-34989-1
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N2174cc3dc58a4e36a65ac1c1e6e98d47 rdf:first sg:person.0603536244.82
77 rdf:rest N44f419b8cf2347f2b6a65425e33b5500
78 N2a13c92ee8264da5a7caf3e66b0e8055 schema:name Springer Nature - SN SciGraph project
79 rdf:type schema:Organization
80 N3327517641ea47a991ffe4cae7d98357 schema:name readcube_id
81 schema:value 49262a48ba05dd513a6f18d77b33af24fb74a244d1cde9ebab9aeed189e43681
82 rdf:type schema:PropertyValue
83 N44f419b8cf2347f2b6a65425e33b5500 rdf:first Nf84a15a877d9433092b4d6c5583414ea
84 rdf:rest Nf4d41716bece433db46c00161a9fd32b
85 N50e5970fd2b4466db0674944eea317c8 schema:name dimensions_id
86 schema:value pub.1107991098
87 rdf:type schema:PropertyValue
88 N5eb6b6ef55bc457fb7d328241bdb8196 schema:name pubmed_id
89 schema:value 30410116
90 rdf:type schema:PropertyValue
91 N6472adc423e9417da3edf382f15e8dbf rdf:first sg:person.010112424620.34
92 rdf:rest Nbb658656298b4d83878ab7f0c5fd649c
93 N73de1bb55bd34d9b98a8e3c91d2074eb schema:issueNumber 1
94 rdf:type schema:PublicationIssue
95 Na386726ddeb94edf8ca154c861908326 rdf:first sg:person.01130334533.57
96 rdf:rest Nf01949f515174177b35cb7e70089d08f
97 Nabecf2baab904cb2ae28e0709a1f4623 rdf:first sg:person.01127224203.73
98 rdf:rest N2174cc3dc58a4e36a65ac1c1e6e98d47
99 Nbb658656298b4d83878ab7f0c5fd649c rdf:first sg:person.01335606412.47
100 rdf:rest Nabecf2baab904cb2ae28e0709a1f4623
101 Nbd07ea5edff14d23874510e6214abf03 schema:volumeNumber 8
102 rdf:type schema:PublicationVolume
103 Nc8a4c7624216480891fd14dfeb4128b5 schema:name doi
104 schema:value 10.1038/s41598-018-34989-1
105 rdf:type schema:PropertyValue
106 Nee7e57e2331b479fa375cb14bd9c345c schema:name nlm_unique_id
107 schema:value 101563288
108 rdf:type schema:PropertyValue
109 Nf01949f515174177b35cb7e70089d08f rdf:first sg:person.01023560153.30
110 rdf:rest N6472adc423e9417da3edf382f15e8dbf
111 Nf4d41716bece433db46c00161a9fd32b rdf:first sg:person.01100157437.23
112 rdf:rest rdf:nil
113 Nf84a15a877d9433092b4d6c5583414ea schema:affiliation https://www.grid.ac/institutes/grid.419012.f
114 schema:familyName Haller
115 schema:givenName József
116 rdf:type schema:Person
117 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
118 schema:name Psychology and Cognitive Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
121 schema:name Psychology
122 rdf:type schema:DefinedTerm
123 sg:journal.1045337 schema:issn 2045-2322
124 schema:name Scientific Reports
125 rdf:type schema:Periodical
126 sg:person.010112424620.34 schema:affiliation https://www.grid.ac/institutes/grid.419012.f
127 schema:familyName Pejtsik
128 schema:givenName Diána
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010112424620.34
130 rdf:type schema:Person
131 sg:person.01023560153.30 schema:affiliation https://www.grid.ac/institutes/grid.5591.8
132 schema:familyName Zsigmond
133 schema:givenName Áron
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023560153.30
135 rdf:type schema:Person
136 sg:person.01100157437.23 schema:affiliation https://www.grid.ac/institutes/grid.419012.f
137 schema:familyName Aliczki
138 schema:givenName Manó
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100157437.23
140 rdf:type schema:Person
141 sg:person.01127224203.73 schema:affiliation https://www.grid.ac/institutes/grid.419012.f
142 schema:familyName Demeter
143 schema:givenName Kornél
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127224203.73
145 rdf:type schema:Person
146 sg:person.01130334533.57 schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
147 schema:familyName Varga
148 schema:givenName Zoltán K.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130334533.57
150 rdf:type schema:Person
151 sg:person.01335606412.47 schema:affiliation https://www.grid.ac/institutes/grid.5018.c
152 schema:familyName Varga
153 schema:givenName Máté
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335606412.47
155 rdf:type schema:Person
156 sg:person.0603536244.82 schema:affiliation https://www.grid.ac/institutes/grid.419012.f
157 schema:familyName Mikics
158 schema:givenName Éva
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603536244.82
160 rdf:type schema:Person
161 sg:pub.10.1007/bf02253541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040181812
162 https://doi.org/10.1007/bf02253541
163 rdf:type schema:CreativeWork
164 sg:pub.10.1007/s00213-003-1746-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048069773
165 https://doi.org/10.1007/s00213-003-1746-x
166 rdf:type schema:CreativeWork
167 sg:pub.10.1007/s002130050317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035476145
168 https://doi.org/10.1007/s002130050317
169 rdf:type schema:CreativeWork
170 sg:pub.10.1038/nature12111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005705586
171 https://doi.org/10.1038/nature12111
172 rdf:type schema:CreativeWork
173 sg:pub.10.1038/nprot.2007.44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012369107
174 https://doi.org/10.1038/nprot.2007.44
175 rdf:type schema:CreativeWork
176 sg:pub.10.1038/nrd4627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044824973
177 https://doi.org/10.1038/nrd4627
178 rdf:type schema:CreativeWork
179 sg:pub.10.1038/nrg2091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007331949
180 https://doi.org/10.1038/nrg2091
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/srep20788 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013081385
183 https://doi.org/10.1038/srep20788
184 rdf:type schema:CreativeWork
185 sg:pub.10.1186/s12868-016-0298-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1048916804
186 https://doi.org/10.1186/s12868-016-0298-z
187 rdf:type schema:CreativeWork
188 sg:pub.10.3758/bf03195394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040132614
189 https://doi.org/10.3758/bf03195394
190 rdf:type schema:CreativeWork
191 https://app.dimensions.ai/details/publication/pub.1078170793 schema:CreativeWork
192 https://doi.org/10.1016/0028-3908(93)90166-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1007184824
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/0091-3057(86)90213-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015095288
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/0091-3057(95)00138-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1019988341
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/0165-0270(85)90031-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017675838
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/0376-6357(93)90026-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1002936982
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.anbehav.2012.01.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035202331
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.bbr.2008.06.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010644969
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.bbr.2009.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021069710
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.bbr.2009.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006884645
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.bbr.2010.05.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038865157
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.bbr.2011.11.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046851692
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.bbr.2011.12.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010772817
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.brainresbull.2005.03.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001648627
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.euroneuro.2005.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009594045
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.jchemneu.2012.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004797614
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.nbd.2010.05.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035675842
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.neubiorev.2012.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025828234
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.neuro.2008.09.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029439954
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.pbb.2009.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009206118
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.physbeh.2006.08.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032799175
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.pnpbp.2010.11.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010575457
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.pnpbp.2010.12.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032467786
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.tins.2014.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029441488
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.tips.2008.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011604397
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/s0149-7634(05)80079-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035338162
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1037/pne0000067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056437274
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1073/pnas.1018275108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014368101
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1089/zeb.2016.1295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059328556
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1089/zeb.2016.1415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085304345
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1097/yco.0b013e32834de34f schema:sameAs https://app.dimensions.ai/details/publication/pub.1025303865
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1163/1568539x-00003029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044957976
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1371/journal.pone.0036931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051972136
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1387/ijdb.15272388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067191744
257 rdf:type schema:CreativeWork
258 https://doi.org/10.3389/fncir.2013.00109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022254434
259 rdf:type schema:CreativeWork
260 https://doi.org/10.3389/fncir.2015.00039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018134253
261 rdf:type schema:CreativeWork
262 https://doi.org/10.7554/elife.05635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018146627
263 rdf:type schema:CreativeWork
264 https://www.grid.ac/institutes/grid.11804.3c schema:alternateName Semmelweis University
265 schema:name János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary
266 Laboratory of Translational Behavioral Neuroscience, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
267 rdf:type schema:Organization
268 https://www.grid.ac/institutes/grid.419012.f schema:alternateName MTA Institute of Experimental Medicine
269 schema:name Laboratory of Behavioral and Stress Studies, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
270 Laboratory of Translational Behavioral Neuroscience, Department of Behavioral Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
271 Unit of Behavioral Studies, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
272 rdf:type schema:Organization
273 https://www.grid.ac/institutes/grid.5018.c schema:alternateName Hungarian Academy of Sciences
274 schema:name Department of Genetics, Eötvös Loránd University, Budapest, Hungary
275 Semmelweis University “Lendület” Nephrogenetic Laboratory, Hungarian Academy of Sciences, Budapest, Hungary
276 rdf:type schema:Organization
277 https://www.grid.ac/institutes/grid.5591.8 schema:alternateName Eötvös Loránd University
278 schema:name Department of Genetics, Eötvös Loránd University, Budapest, Hungary
279 rdf:type schema:Organization
 




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


...