Mathematical Modeling and Analyses of Interspike-Intervals of Spontaneous Activity in Afferent Neurons of the Zebrafish Lateral Line View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Sangmin Song, Ji Ah Lee, Ilya Kiselev, Varun Iyengar, Josef G. Trapani, Nessy Tania

ABSTRACT

Without stimuli, hair cells spontaneously release neurotransmitter leading to spontaneous generation of action potentials (spikes) in innervating afferent neurons. We analyzed spontaneous spike patterns recorded from the lateral line of zebrafish and found that distributions of interspike intervals (ISIs) either have an exponential shape or an "L" shape that is characterized by a sharp decay but wide tail. ISI data were fitted to renewal-process models that accounted for the neuron refractory periods and hair-cell synaptic release. Modeling the timing of synaptic release using a mixture of two exponential distributions yielded the best fit for our ISI data. Additionally, lateral line ISIs displayed positive serial correlation and appeared to exhibit switching between faster and slower modes of spike generation. This pattern contrasts with previous findings from the auditory system where ISIs tended to have negative serial correlation due to synaptic depletion. We propose that afferent neuron innervation with multiple and heterogenous hair-cells synapses, each influenced by changes in calcium domains, can serve as a mechanism for the random switching behavior. Overall, our analyses provide evidence of how physiological similarities and differences between synapses and innervation patterns in the auditory, vestibular, and lateral line systems can lead to variations in spontaneous activity. More... »

PAGES

14851

Journal

TITLE

Scientific Reports

ISSUE

1

VOLUME

8

Author Affiliations

From Grant

  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-018-33064-z

    DOI

    http://dx.doi.org/10.1038/s41598-018-33064-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107353316

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30291277


    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/2008/1109", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Neurosciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Amherst College", 
              "id": "https://www.grid.ac/institutes/grid.252152.3", 
              "name": [
                "Department of Biology and Neuroscience Program, Amherst College, 01002, Amherst, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Song", 
            "givenName": "Sangmin", 
            "id": "sg:person.010410543051.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010410543051.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Smith College", 
              "id": "https://www.grid.ac/institutes/grid.263724.6", 
              "name": [
                "Department of Mathematics and Statistics, Smith College, 01063, Northampton, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Ji Ah", 
            "id": "sg:person.012601064451.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012601064451.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Amherst College", 
              "id": "https://www.grid.ac/institutes/grid.252152.3", 
              "name": [
                "Department of Biology and Neuroscience Program, Amherst College, 01002, Amherst, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kiselev", 
            "givenName": "Ilya", 
            "id": "sg:person.014174025451.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014174025451.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Amherst College", 
              "id": "https://www.grid.ac/institutes/grid.252152.3", 
              "name": [
                "Department of Biology and Neuroscience Program, Amherst College, 01002, Amherst, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Iyengar", 
            "givenName": "Varun", 
            "id": "sg:person.016364347051.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016364347051.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Amherst College", 
              "id": "https://www.grid.ac/institutes/grid.252152.3", 
              "name": [
                "Department of Biology and Neuroscience Program, Amherst College, 01002, Amherst, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Trapani", 
            "givenName": "Josef G.", 
            "id": "sg:person.01067254065.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067254065.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Smith College", 
              "id": "https://www.grid.ac/institutes/grid.263724.6", 
              "name": [
                "Department of Mathematics and Statistics, Smith College, 01063, Northampton, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tania", 
            "givenName": "Nessy", 
            "id": "sg:person.01167602723.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167602723.08"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1073/pnas.0912082106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000381110"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0006-3495(60)86872-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005876911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/embj.201387110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006595214"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/jeb.017350", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009287470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00221-011-2553-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011892564", 
              "https://doi.org/10.1007/s00221-011-2553-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1085/jgp.201311126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012233109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0004477", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013181360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.0459-04.2004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019367751"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.3389-10.2011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021537592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00227989", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022962924", 
              "https://doi.org/10.1007/bf00227989"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00227989", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022962924", 
              "https://doi.org/10.1007/bf00227989"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cub.2014.11.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023143272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.5230-07.2008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023948688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.3411-05.2005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024083863"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-0-12-384892-5.00008-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024894615"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.0514-09.2009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025897354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0925-2312(01)00549-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028466062"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.3369-10.2011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028578885"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-201x.2005.01495.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028914481"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-201x.2005.01495.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028914481"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.0903-14.2014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030929005"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00442-011-2107-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035693229", 
              "https://doi.org/10.1007/s00442-011-2107-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.1512-07.2007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035846505"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.neuro.29.051605.112917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040195556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0896-6273(95)90011-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041123832"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0959-4388(91)90083-j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042521715"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1605737113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042623589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0501961102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043089920"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0501961102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043089920"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cne.22798", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043727218"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.brainres.2011.05.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044010339"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrn2924", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046528733", 
              "https://doi.org/10.1038/nrn2924"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrn2924", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046528733", 
              "https://doi.org/10.1038/nrn2924"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-5955(90)90097-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048109323"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-5955(90)90097-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048109323"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1113/jphysiol.2009.181917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049492177"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1113/jphysiol.2008.153460", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050397248"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnsc.2008.05.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053239688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/jn.90779.2008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053574494"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physreve.68.021920", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060730458"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physreve.68.021920", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060730458"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physrevlett.92.080601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060827944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physrevlett.92.080601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060827944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1121/1.1910060", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062275732"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1121/1.393530", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062344822"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1121/1.403950", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062355239"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/15s014289", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062874399"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/jn.00107.2016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063199588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/jn.1990.63.4.781", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078691297"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/jn.1988.60.1.182", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1079726584"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/jn.1971.34.4.661", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1080742878"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.aml.2017.05.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085563084"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/1.9781611970159", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098556608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-03806-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103210498", 
              "https://doi.org/10.1038/s41467-018-03806-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-03806-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103210498", 
              "https://doi.org/10.1038/s41467-018-03806-8"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-12", 
        "datePublishedReg": "2018-12-01", 
        "description": "Without stimuli, hair cells spontaneously release neurotransmitter leading to spontaneous generation of action potentials (spikes) in innervating afferent neurons. We analyzed spontaneous spike patterns recorded from the lateral line of zebrafish and found that distributions of interspike intervals (ISIs) either have an exponential shape or an \"L\" shape that is characterized by a sharp decay but wide tail. ISI data were fitted to renewal-process models that accounted for the neuron refractory periods and hair-cell synaptic release. Modeling the timing of synaptic release using a mixture of two exponential distributions yielded the best fit for our ISI data. Additionally, lateral line ISIs displayed positive serial correlation and appeared to exhibit switching between faster and slower modes of spike generation. This pattern contrasts with previous findings from the auditory system where ISIs tended to have negative serial correlation due to synaptic depletion. We propose that afferent neuron innervation with multiple and heterogenous hair-cells synapses, each influenced by changes in calcium domains, can serve as a mechanism for the random switching behavior. Overall, our analyses provide evidence of how physiological similarities and differences between synapses and innervation patterns in the auditory, vestibular, and lateral line systems can lead to variations in spontaneous activity.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41598-018-33064-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.5476004", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3128881", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "8"
          }
        ], 
        "name": "Mathematical Modeling and Analyses of Interspike-Intervals of Spontaneous Activity in Afferent Neurons of the Zebrafish Lateral Line", 
        "pagination": "14851", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "7c5a750109e2610aad9c11b53e36e435eb60fc2957f9983698545a58376d67ef"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30291277"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-018-33064-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107353316"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-018-33064-z", 
          "https://app.dimensions.ai/details/publication/pub.1107353316"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:24", 
        "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/v90/0000000001_0000000264/records_8695_00000560.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41598-018-33064-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/s41598-018-33064-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/s41598-018-33064-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-33064-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-33064-z'


     

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

    256 TRIPLES      21 PREDICATES      76 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-018-33064-z schema:about anzsrc-for:11
    2 anzsrc-for:1109
    3 schema:author N3271c716f2c84d88911410d58c2b841a
    4 schema:citation sg:pub.10.1007/bf00227989
    5 sg:pub.10.1007/s00221-011-2553-y
    6 sg:pub.10.1007/s00442-011-2107-9
    7 sg:pub.10.1038/nrn2924
    8 sg:pub.10.1038/s41467-018-03806-8
    9 https://doi.org/10.1002/cne.22798
    10 https://doi.org/10.1002/embj.201387110
    11 https://doi.org/10.1016/0378-5955(90)90097-9
    12 https://doi.org/10.1016/0896-6273(95)90011-x
    13 https://doi.org/10.1016/0959-4388(91)90083-j
    14 https://doi.org/10.1016/b978-0-12-384892-5.00008-6
    15 https://doi.org/10.1016/j.aml.2017.05.005
    16 https://doi.org/10.1016/j.brainres.2011.05.011
    17 https://doi.org/10.1016/j.cub.2014.11.012
    18 https://doi.org/10.1016/j.pnsc.2008.05.027
    19 https://doi.org/10.1016/s0006-3495(60)86872-5
    20 https://doi.org/10.1016/s0925-2312(01)00549-5
    21 https://doi.org/10.1073/pnas.0501961102
    22 https://doi.org/10.1073/pnas.0912082106
    23 https://doi.org/10.1073/pnas.1605737113
    24 https://doi.org/10.1085/jgp.201311126
    25 https://doi.org/10.1103/physreve.68.021920
    26 https://doi.org/10.1103/physrevlett.92.080601
    27 https://doi.org/10.1111/j.1365-201x.2005.01495.x
    28 https://doi.org/10.1113/jphysiol.2008.153460
    29 https://doi.org/10.1113/jphysiol.2009.181917
    30 https://doi.org/10.1121/1.1910060
    31 https://doi.org/10.1121/1.393530
    32 https://doi.org/10.1121/1.403950
    33 https://doi.org/10.1137/1.9781611970159
    34 https://doi.org/10.1137/15s014289
    35 https://doi.org/10.1146/annurev.neuro.29.051605.112917
    36 https://doi.org/10.1152/jn.00107.2016
    37 https://doi.org/10.1152/jn.1971.34.4.661
    38 https://doi.org/10.1152/jn.1988.60.1.182
    39 https://doi.org/10.1152/jn.1990.63.4.781
    40 https://doi.org/10.1152/jn.90779.2008
    41 https://doi.org/10.1242/jeb.017350
    42 https://doi.org/10.1371/journal.pone.0004477
    43 https://doi.org/10.1523/jneurosci.0459-04.2004
    44 https://doi.org/10.1523/jneurosci.0514-09.2009
    45 https://doi.org/10.1523/jneurosci.0903-14.2014
    46 https://doi.org/10.1523/jneurosci.1512-07.2007
    47 https://doi.org/10.1523/jneurosci.3369-10.2011
    48 https://doi.org/10.1523/jneurosci.3389-10.2011
    49 https://doi.org/10.1523/jneurosci.3411-05.2005
    50 https://doi.org/10.1523/jneurosci.5230-07.2008
    51 schema:datePublished 2018-12
    52 schema:datePublishedReg 2018-12-01
    53 schema:description Without stimuli, hair cells spontaneously release neurotransmitter leading to spontaneous generation of action potentials (spikes) in innervating afferent neurons. We analyzed spontaneous spike patterns recorded from the lateral line of zebrafish and found that distributions of interspike intervals (ISIs) either have an exponential shape or an "L" shape that is characterized by a sharp decay but wide tail. ISI data were fitted to renewal-process models that accounted for the neuron refractory periods and hair-cell synaptic release. Modeling the timing of synaptic release using a mixture of two exponential distributions yielded the best fit for our ISI data. Additionally, lateral line ISIs displayed positive serial correlation and appeared to exhibit switching between faster and slower modes of spike generation. This pattern contrasts with previous findings from the auditory system where ISIs tended to have negative serial correlation due to synaptic depletion. We propose that afferent neuron innervation with multiple and heterogenous hair-cells synapses, each influenced by changes in calcium domains, can serve as a mechanism for the random switching behavior. Overall, our analyses provide evidence of how physiological similarities and differences between synapses and innervation patterns in the auditory, vestibular, and lateral line systems can lead to variations in spontaneous activity.
    54 schema:genre research_article
    55 schema:inLanguage en
    56 schema:isAccessibleForFree true
    57 schema:isPartOf Nbd33bf702c244445a8dab4a855d2b792
    58 Nc9d7aa1789864bc38220069fb8168a11
    59 sg:journal.1045337
    60 schema:name Mathematical Modeling and Analyses of Interspike-Intervals of Spontaneous Activity in Afferent Neurons of the Zebrafish Lateral Line
    61 schema:pagination 14851
    62 schema:productId N13fdc06d84c940b6b41b5dde5f49135a
    63 N2c9b000ff57346849e31d6085a50e03f
    64 N5f0b2f81f0a34e8d8605c1c0ba3d8fe4
    65 N6df03ca98a304653a48943342aa1ba08
    66 Nf65f44c3d8ca45aeba6df94fef829870
    67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107353316
    68 https://doi.org/10.1038/s41598-018-33064-z
    69 schema:sdDatePublished 2019-04-11T00:24
    70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    71 schema:sdPublisher Ne8a56f70fa5143118491e92e43486bff
    72 schema:url https://www.nature.com/articles/s41598-018-33064-z
    73 sgo:license sg:explorer/license/
    74 sgo:sdDataset articles
    75 rdf:type schema:ScholarlyArticle
    76 N13fdc06d84c940b6b41b5dde5f49135a schema:name doi
    77 schema:value 10.1038/s41598-018-33064-z
    78 rdf:type schema:PropertyValue
    79 N2c9b000ff57346849e31d6085a50e03f schema:name pubmed_id
    80 schema:value 30291277
    81 rdf:type schema:PropertyValue
    82 N3271c716f2c84d88911410d58c2b841a rdf:first sg:person.010410543051.71
    83 rdf:rest Nda3dae488f8e468e966d2ab5721bab58
    84 N5b99ca37e451484a8f9052f28e39518a rdf:first sg:person.016364347051.27
    85 rdf:rest N60af83d15d1d4f87a7cbe76aac4b2263
    86 N5f0b2f81f0a34e8d8605c1c0ba3d8fe4 schema:name readcube_id
    87 schema:value 7c5a750109e2610aad9c11b53e36e435eb60fc2957f9983698545a58376d67ef
    88 rdf:type schema:PropertyValue
    89 N60af83d15d1d4f87a7cbe76aac4b2263 rdf:first sg:person.01067254065.53
    90 rdf:rest N78b816e44f18422d9dcdbbcb17b8aed0
    91 N6df03ca98a304653a48943342aa1ba08 schema:name nlm_unique_id
    92 schema:value 101563288
    93 rdf:type schema:PropertyValue
    94 N78b816e44f18422d9dcdbbcb17b8aed0 rdf:first sg:person.01167602723.08
    95 rdf:rest rdf:nil
    96 Nbd33bf702c244445a8dab4a855d2b792 schema:issueNumber 1
    97 rdf:type schema:PublicationIssue
    98 Nc9d7aa1789864bc38220069fb8168a11 schema:volumeNumber 8
    99 rdf:type schema:PublicationVolume
    100 Nda3dae488f8e468e966d2ab5721bab58 rdf:first sg:person.012601064451.24
    101 rdf:rest Ne776ed2e619441808baa54a571789430
    102 Ne776ed2e619441808baa54a571789430 rdf:first sg:person.014174025451.89
    103 rdf:rest N5b99ca37e451484a8f9052f28e39518a
    104 Ne8a56f70fa5143118491e92e43486bff schema:name Springer Nature - SN SciGraph project
    105 rdf:type schema:Organization
    106 Nf65f44c3d8ca45aeba6df94fef829870 schema:name dimensions_id
    107 schema:value pub.1107353316
    108 rdf:type schema:PropertyValue
    109 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    110 schema:name Medical and Health Sciences
    111 rdf:type schema:DefinedTerm
    112 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
    113 schema:name Neurosciences
    114 rdf:type schema:DefinedTerm
    115 sg:grant.3128881 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-33064-z
    116 rdf:type schema:MonetaryGrant
    117 sg:grant.5476004 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-33064-z
    118 rdf:type schema:MonetaryGrant
    119 sg:journal.1045337 schema:issn 2045-2322
    120 schema:name Scientific Reports
    121 rdf:type schema:Periodical
    122 sg:person.010410543051.71 schema:affiliation https://www.grid.ac/institutes/grid.252152.3
    123 schema:familyName Song
    124 schema:givenName Sangmin
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010410543051.71
    126 rdf:type schema:Person
    127 sg:person.01067254065.53 schema:affiliation https://www.grid.ac/institutes/grid.252152.3
    128 schema:familyName Trapani
    129 schema:givenName Josef G.
    130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067254065.53
    131 rdf:type schema:Person
    132 sg:person.01167602723.08 schema:affiliation https://www.grid.ac/institutes/grid.263724.6
    133 schema:familyName Tania
    134 schema:givenName Nessy
    135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167602723.08
    136 rdf:type schema:Person
    137 sg:person.012601064451.24 schema:affiliation https://www.grid.ac/institutes/grid.263724.6
    138 schema:familyName Lee
    139 schema:givenName Ji Ah
    140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012601064451.24
    141 rdf:type schema:Person
    142 sg:person.014174025451.89 schema:affiliation https://www.grid.ac/institutes/grid.252152.3
    143 schema:familyName Kiselev
    144 schema:givenName Ilya
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014174025451.89
    146 rdf:type schema:Person
    147 sg:person.016364347051.27 schema:affiliation https://www.grid.ac/institutes/grid.252152.3
    148 schema:familyName Iyengar
    149 schema:givenName Varun
    150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016364347051.27
    151 rdf:type schema:Person
    152 sg:pub.10.1007/bf00227989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022962924
    153 https://doi.org/10.1007/bf00227989
    154 rdf:type schema:CreativeWork
    155 sg:pub.10.1007/s00221-011-2553-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1011892564
    156 https://doi.org/10.1007/s00221-011-2553-y
    157 rdf:type schema:CreativeWork
    158 sg:pub.10.1007/s00442-011-2107-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035693229
    159 https://doi.org/10.1007/s00442-011-2107-9
    160 rdf:type schema:CreativeWork
    161 sg:pub.10.1038/nrn2924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046528733
    162 https://doi.org/10.1038/nrn2924
    163 rdf:type schema:CreativeWork
    164 sg:pub.10.1038/s41467-018-03806-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103210498
    165 https://doi.org/10.1038/s41467-018-03806-8
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1002/cne.22798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043727218
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1002/embj.201387110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006595214
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1016/0378-5955(90)90097-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048109323
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1016/0896-6273(95)90011-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041123832
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1016/0959-4388(91)90083-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1042521715
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1016/b978-0-12-384892-5.00008-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024894615
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1016/j.aml.2017.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085563084
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1016/j.brainres.2011.05.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044010339
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1016/j.cub.2014.11.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023143272
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1016/j.pnsc.2008.05.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053239688
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1016/s0006-3495(60)86872-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005876911
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1016/s0925-2312(01)00549-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028466062
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1073/pnas.0501961102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043089920
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1073/pnas.0912082106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000381110
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1073/pnas.1605737113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042623589
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1085/jgp.201311126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012233109
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1103/physreve.68.021920 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060730458
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1103/physrevlett.92.080601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060827944
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1111/j.1365-201x.2005.01495.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028914481
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1113/jphysiol.2008.153460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050397248
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1113/jphysiol.2009.181917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049492177
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1121/1.1910060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062275732
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1121/1.393530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062344822
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1121/1.403950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062355239
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1137/1.9781611970159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098556608
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1137/15s014289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062874399
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1146/annurev.neuro.29.051605.112917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040195556
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1152/jn.00107.2016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063199588
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1152/jn.1971.34.4.661 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080742878
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1152/jn.1988.60.1.182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079726584
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1152/jn.1990.63.4.781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078691297
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1152/jn.90779.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053574494
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1242/jeb.017350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009287470
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1371/journal.pone.0004477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013181360
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1523/jneurosci.0459-04.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019367751
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1523/jneurosci.0514-09.2009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025897354
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1523/jneurosci.0903-14.2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030929005
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1523/jneurosci.1512-07.2007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035846505
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1523/jneurosci.3369-10.2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028578885
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1523/jneurosci.3389-10.2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021537592
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1523/jneurosci.3411-05.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024083863
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1523/jneurosci.5230-07.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023948688
    250 rdf:type schema:CreativeWork
    251 https://www.grid.ac/institutes/grid.252152.3 schema:alternateName Amherst College
    252 schema:name Department of Biology and Neuroscience Program, Amherst College, 01002, Amherst, MA, USA
    253 rdf:type schema:Organization
    254 https://www.grid.ac/institutes/grid.263724.6 schema:alternateName Smith College
    255 schema:name Department of Mathematics and Statistics, Smith College, 01063, Northampton, MA, USA
    256 rdf:type schema:Organization
     




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


    ...