Intrinsic functional architecture of the non-human primate spinal cord derived from fMRI and electrophysiology View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Tung-Lin Wu, Pai-Feng Yang, Feng Wang, Zhaoyue Shi, Arabinda Mishra, Ruiqi Wu, Li Min Chen, John C. Gore

ABSTRACT

Resting-state functional MRI (rsfMRI) has recently revealed correlated signals in the spinal cord horns of monkeys and humans. However, the interpretation of these rsfMRI correlations as indicators of functional connectivity in the spinal cord remains unclear. Here, we recorded stimulus-evoked and spontaneous spiking activity and local field potentials (LFPs) from monkey spinal cord in order to validate fMRI measures. We found that both BOLD and electrophysiological signals elicited by tactile stimulation co-localized to the ipsilateral dorsal horn. Temporal profiles of stimulus-evoked BOLD signals covaried with LFP and multiunit spiking in a similar way to those observed in the brain. Functional connectivity of dorsal horns exhibited a U-shaped profile along the dorsal-intermediate-ventral axis. Overall, these results suggest that there is an intrinsic functional architecture within the gray matter of a single spinal segment, and that rsfMRI signals at high field directly reflect this underlying spontaneous neuronal activity. More... »

PAGES

1416

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-019-09485-3

DOI

http://dx.doi.org/10.1038/s41467-019-09485-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113050727

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30926817


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": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA", 
            "Biomedical Engineering, Vanderbilt University, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Tung-Lin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412807.8", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA", 
            "Radiology and Radiological Sciences, Vanderbilt University Medical Center, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Pai-Feng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412807.8", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA", 
            "Radiology and Radiological Sciences, Vanderbilt University Medical Center, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Feng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA", 
            "Biomedical Engineering, Vanderbilt University, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shi", 
        "givenName": "Zhaoyue", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412807.8", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA", 
            "Radiology and Radiological Sciences, Vanderbilt University Medical Center, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mishra", 
        "givenName": "Arabinda", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Ruiqi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412807.8", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA", 
            "Radiology and Radiological Sciences, Vanderbilt University Medical Center, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Li Min", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA", 
            "Biomedical Engineering, Vanderbilt University, 37232, Nashville, TN, USA", 
            "Radiology and Radiological Sciences, Vanderbilt University Medical Center, 37232, Nashville, TN, USA", 
            "Department of Physics and Astronomy, Vanderbilt University, 37232, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gore", 
        "givenName": "John C.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3389/fnsys.2010.00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002405362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002546777", 
          "https://doi.org/10.1038/nn.4282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.2842", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005004030", 
          "https://doi.org/10.1038/nn.2842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35084005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006557009", 
          "https://doi.org/10.1038/35084005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35084005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006557009", 
          "https://doi.org/10.1038/35084005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1910340409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007471430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fnana.2012.00029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009303466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1522-2594(199903)41:3<469::aid-mrm7>3.0.co;2-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009577570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn2961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009626583", 
          "https://doi.org/10.1038/nrn2961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn2961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009626583", 
          "https://doi.org/10.1038/nrn2961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.26606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009791851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2007.06.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011086580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1424106112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013564438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1460-9568.2003.02973.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014592153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.expneurol.2013.08.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015522706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.4615-05.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015832196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/jcbfm.2012.50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016481802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/jcbfm.2012.50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016481802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2013.04.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016744395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1675", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017236224", 
          "https://doi.org/10.1038/nn1675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0135058100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017455767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a1909", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018355760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wco.0b013e3283065cfb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018532299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wco.0b013e3283065cfb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018532299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2007.11.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019268552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aco.0b013e32834a12a1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019355204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aco.0b013e32834a12a1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019355204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aco.0b013e32834a12a1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019355204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2010.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021842045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.brainresrev.2007.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022859923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2016.12.072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023353586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.0583-15.2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026069733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2016.02.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026151879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3121/cmr.3.3.146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027046242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms13060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027057807", 
          "https://doi.org/10.1038/ncomms13060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0913110107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027811445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034254098", 
          "https://doi.org/10.1038/nature05758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2013.04.124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037911794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-009-1205-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039007786", 
          "https://doi.org/10.1007/s00421-009-1205-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-009-1205-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039007786", 
          "https://doi.org/10.1007/s00421-009-1205-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00421-009-1205-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039007786", 
          "https://doi.org/10.1007/s00421-009-1205-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/brb3.591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040053447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hbm.23207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040217801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hbm.22583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040371029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2011.10.059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041898561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.02812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042445135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2016.09.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042983202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1414293111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045094747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2016.08.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050599373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2008.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052192861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn2201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053109894", 
          "https://doi.org/10.1038/nrn2201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1110913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062452085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.00584.2016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063199886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.23-10-03963.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075290590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2015150768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079170187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mri.2017.01.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083424897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1620520114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085102322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/073569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085112650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/073569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085112650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/073569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085112650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2017.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090331429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2017.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090331429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2017.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090331429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.26905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091757042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/awy083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101608895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/awy083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101608895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/brainsci8090173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106911535"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Resting-state functional MRI (rsfMRI) has recently revealed correlated signals in the spinal cord horns of monkeys and humans. However, the interpretation of these rsfMRI correlations as indicators of functional connectivity in the spinal cord remains unclear. Here, we recorded stimulus-evoked and spontaneous spiking activity and local field potentials (LFPs) from monkey spinal cord in order to validate fMRI measures. We found that both BOLD and electrophysiological signals elicited by tactile stimulation co-localized to the ipsilateral dorsal horn. Temporal profiles of stimulus-evoked BOLD signals covaried with LFP and multiunit spiking in a similar way to those observed in the brain. Functional connectivity of dorsal horns exhibited a U-shaped profile along the dorsal-intermediate-ventral axis. Overall, these results suggest that there is an intrinsic functional architecture within the gray matter of a single spinal segment, and that rsfMRI signals at high field directly reflect this underlying spontaneous neuronal activity.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41467-019-09485-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4897638", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Intrinsic functional architecture of the non-human primate spinal cord derived from fMRI and electrophysiology", 
    "pagination": "1416", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1874895d59c96f7fa2294d70a2852b7b50b6a88299971fa2cb085a8f0bec6390"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30926817"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41467-019-09485-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113050727"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41467-019-09485-3", 
      "https://app.dimensions.ai/details/publication/pub.1113050727"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:52", 
    "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/v90/0000000371_0000000371/records_130801_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41467-019-09485-3"
  }
]
 

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/s41467-019-09485-3'

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/s41467-019-09485-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09485-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09485-3'


 

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

289 TRIPLES      21 PREDICATES      83 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41467-019-09485-3 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author N4bb97084bf954d13ada52bd0f07d532a
4 schema:citation sg:pub.10.1007/s00421-009-1205-4
5 sg:pub.10.1038/35084005
6 sg:pub.10.1038/nature05758
7 sg:pub.10.1038/ncomms13060
8 sg:pub.10.1038/nn.2842
9 sg:pub.10.1038/nn.4282
10 sg:pub.10.1038/nn1675
11 sg:pub.10.1038/nrn2201
12 sg:pub.10.1038/nrn2961
13 https://doi.org/10.1002/(sici)1522-2594(199903)41:3<469::aid-mrm7>3.0.co;2-9
14 https://doi.org/10.1002/brb3.591
15 https://doi.org/10.1002/hbm.22583
16 https://doi.org/10.1002/hbm.23207
17 https://doi.org/10.1002/mrm.1910340409
18 https://doi.org/10.1002/mrm.26606
19 https://doi.org/10.1002/mrm.26905
20 https://doi.org/10.1016/j.brainresrev.2007.06.022
21 https://doi.org/10.1016/j.expneurol.2013.08.013
22 https://doi.org/10.1016/j.jneumeth.2010.06.012
23 https://doi.org/10.1016/j.mri.2017.01.020
24 https://doi.org/10.1016/j.neuroimage.2007.06.042
25 https://doi.org/10.1016/j.neuroimage.2007.11.010
26 https://doi.org/10.1016/j.neuroimage.2008.09.001
27 https://doi.org/10.1016/j.neuroimage.2011.10.059
28 https://doi.org/10.1016/j.neuroimage.2013.04.124
29 https://doi.org/10.1016/j.neuroimage.2016.02.058
30 https://doi.org/10.1016/j.neuroimage.2016.09.065
31 https://doi.org/10.1016/j.neuroimage.2016.12.072
32 https://doi.org/10.1016/j.neuroimage.2017.07.003
33 https://doi.org/10.1016/j.neuron.2013.04.023
34 https://doi.org/10.1016/j.neuroscience.2016.08.042
35 https://doi.org/10.1038/jcbfm.2012.50
36 https://doi.org/10.1046/j.1460-9568.2003.02973.x
37 https://doi.org/10.1073/pnas.0135058100
38 https://doi.org/10.1073/pnas.0913110107
39 https://doi.org/10.1073/pnas.1414293111
40 https://doi.org/10.1073/pnas.1424106112
41 https://doi.org/10.1073/pnas.1620520114
42 https://doi.org/10.1093/brain/awy083
43 https://doi.org/10.1097/aco.0b013e32834a12a1
44 https://doi.org/10.1097/wco.0b013e3283065cfb
45 https://doi.org/10.1101/073569
46 https://doi.org/10.1126/science.1110913
47 https://doi.org/10.1148/radiol.2015150768
48 https://doi.org/10.1152/jn.00584.2016
49 https://doi.org/10.1523/jneurosci.0583-15.2015
50 https://doi.org/10.1523/jneurosci.23-10-03963.2003
51 https://doi.org/10.1523/jneurosci.4615-05.2006
52 https://doi.org/10.3121/cmr.3.3.146
53 https://doi.org/10.3174/ajnr.a1909
54 https://doi.org/10.3389/fnana.2012.00029
55 https://doi.org/10.3389/fnsys.2010.00019
56 https://doi.org/10.3390/brainsci8090173
57 https://doi.org/10.7554/elife.02812
58 schema:datePublished 2019-12
59 schema:datePublishedReg 2019-12-01
60 schema:description Resting-state functional MRI (rsfMRI) has recently revealed correlated signals in the spinal cord horns of monkeys and humans. However, the interpretation of these rsfMRI correlations as indicators of functional connectivity in the spinal cord remains unclear. Here, we recorded stimulus-evoked and spontaneous spiking activity and local field potentials (LFPs) from monkey spinal cord in order to validate fMRI measures. We found that both BOLD and electrophysiological signals elicited by tactile stimulation co-localized to the ipsilateral dorsal horn. Temporal profiles of stimulus-evoked BOLD signals covaried with LFP and multiunit spiking in a similar way to those observed in the brain. Functional connectivity of dorsal horns exhibited a U-shaped profile along the dorsal-intermediate-ventral axis. Overall, these results suggest that there is an intrinsic functional architecture within the gray matter of a single spinal segment, and that rsfMRI signals at high field directly reflect this underlying spontaneous neuronal activity.
61 schema:genre research_article
62 schema:inLanguage en
63 schema:isAccessibleForFree true
64 schema:isPartOf N30e7bbe2ad08415b9244fae657442f49
65 N6ef2edb8a8da484a9bad353ef17f460c
66 sg:journal.1043282
67 schema:name Intrinsic functional architecture of the non-human primate spinal cord derived from fMRI and electrophysiology
68 schema:pagination 1416
69 schema:productId N6c46b81ec688423faa364dc46d73c6a6
70 N76ac2340ea374ff4a3e4cef79cc57510
71 N821221a47fc740658f56f637bd82c995
72 Nd4154262b97e48fe802bdfd6907a8939
73 Nd57fe9ae18b2450b9b97a3fd46cf0e4f
74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113050727
75 https://doi.org/10.1038/s41467-019-09485-3
76 schema:sdDatePublished 2019-04-11T13:52
77 schema:sdLicense https://scigraph.springernature.com/explorer/license/
78 schema:sdPublisher N1be2cd513d594d2489ad3fe271d87bb7
79 schema:url https://www.nature.com/articles/s41467-019-09485-3
80 sgo:license sg:explorer/license/
81 sgo:sdDataset articles
82 rdf:type schema:ScholarlyArticle
83 N0647e2f80cc0454bb0916bcceaea3be3 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
84 schema:familyName Shi
85 schema:givenName Zhaoyue
86 rdf:type schema:Person
87 N0c67a2558f5544d6896242b789e9cbad schema:affiliation https://www.grid.ac/institutes/grid.412807.8
88 schema:familyName Chen
89 schema:givenName Li Min
90 rdf:type schema:Person
91 N12ed7227cf284f68890292fa3ec01741 rdf:first N0c67a2558f5544d6896242b789e9cbad
92 rdf:rest Nd1eab7f19e404b2b9686d6ba7a0bf4c8
93 N1be2cd513d594d2489ad3fe271d87bb7 schema:name Springer Nature - SN SciGraph project
94 rdf:type schema:Organization
95 N2b4b326c36c34c18bcebeef4f029d90f schema:affiliation https://www.grid.ac/institutes/grid.152326.1
96 schema:familyName Wu
97 schema:givenName Ruiqi
98 rdf:type schema:Person
99 N2c8f7da2d9d3446f9d0f0a0e79888e8e schema:affiliation https://www.grid.ac/institutes/grid.412807.8
100 schema:familyName Yang
101 schema:givenName Pai-Feng
102 rdf:type schema:Person
103 N30e7bbe2ad08415b9244fae657442f49 schema:volumeNumber 10
104 rdf:type schema:PublicationVolume
105 N3e0ccdd26c4748a7922650e59a66ca52 rdf:first N2c8f7da2d9d3446f9d0f0a0e79888e8e
106 rdf:rest Ne150fb3208f74e8484d67676f11e08d0
107 N3f0bde63b13044cea9d468ca3052316c rdf:first N0647e2f80cc0454bb0916bcceaea3be3
108 rdf:rest N80d70dee2d6946eda04f335e8e94e6cf
109 N4baada889f35496d8b2267f0437bdebf schema:affiliation https://www.grid.ac/institutes/grid.412807.8
110 schema:familyName Wang
111 schema:givenName Feng
112 rdf:type schema:Person
113 N4bb97084bf954d13ada52bd0f07d532a rdf:first Nab730cd6ff3f4168a9c38733538e8447
114 rdf:rest N3e0ccdd26c4748a7922650e59a66ca52
115 N6c46b81ec688423faa364dc46d73c6a6 schema:name nlm_unique_id
116 schema:value 101528555
117 rdf:type schema:PropertyValue
118 N6ef2edb8a8da484a9bad353ef17f460c schema:issueNumber 1
119 rdf:type schema:PublicationIssue
120 N729274021a234527b3f99bee53629d9f schema:affiliation https://www.grid.ac/institutes/grid.412807.8
121 schema:familyName Mishra
122 schema:givenName Arabinda
123 rdf:type schema:Person
124 N76ac2340ea374ff4a3e4cef79cc57510 schema:name pubmed_id
125 schema:value 30926817
126 rdf:type schema:PropertyValue
127 N80d70dee2d6946eda04f335e8e94e6cf rdf:first N729274021a234527b3f99bee53629d9f
128 rdf:rest Nafee53c5d2954086bef0f3629a4cfe1e
129 N821221a47fc740658f56f637bd82c995 schema:name readcube_id
130 schema:value 1874895d59c96f7fa2294d70a2852b7b50b6a88299971fa2cb085a8f0bec6390
131 rdf:type schema:PropertyValue
132 Nab730cd6ff3f4168a9c38733538e8447 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
133 schema:familyName Wu
134 schema:givenName Tung-Lin
135 rdf:type schema:Person
136 Nafee53c5d2954086bef0f3629a4cfe1e rdf:first N2b4b326c36c34c18bcebeef4f029d90f
137 rdf:rest N12ed7227cf284f68890292fa3ec01741
138 Nd1eab7f19e404b2b9686d6ba7a0bf4c8 rdf:first Nf5d0e372f0014d89844260b6c7b1c3b8
139 rdf:rest rdf:nil
140 Nd4154262b97e48fe802bdfd6907a8939 schema:name dimensions_id
141 schema:value pub.1113050727
142 rdf:type schema:PropertyValue
143 Nd57fe9ae18b2450b9b97a3fd46cf0e4f schema:name doi
144 schema:value 10.1038/s41467-019-09485-3
145 rdf:type schema:PropertyValue
146 Ne150fb3208f74e8484d67676f11e08d0 rdf:first N4baada889f35496d8b2267f0437bdebf
147 rdf:rest N3f0bde63b13044cea9d468ca3052316c
148 Nf5d0e372f0014d89844260b6c7b1c3b8 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
149 schema:familyName Gore
150 schema:givenName John C.
151 rdf:type schema:Person
152 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
153 schema:name Medical and Health Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
156 schema:name Neurosciences
157 rdf:type schema:DefinedTerm
158 sg:grant.4897638 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-019-09485-3
159 rdf:type schema:MonetaryGrant
160 sg:journal.1043282 schema:issn 2041-1723
161 schema:name Nature Communications
162 rdf:type schema:Periodical
163 sg:pub.10.1007/s00421-009-1205-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039007786
164 https://doi.org/10.1007/s00421-009-1205-4
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/35084005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006557009
167 https://doi.org/10.1038/35084005
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/nature05758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034254098
170 https://doi.org/10.1038/nature05758
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/ncomms13060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027057807
173 https://doi.org/10.1038/ncomms13060
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/nn.2842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005004030
176 https://doi.org/10.1038/nn.2842
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/nn.4282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002546777
179 https://doi.org/10.1038/nn.4282
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/nn1675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017236224
182 https://doi.org/10.1038/nn1675
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/nrn2201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053109894
185 https://doi.org/10.1038/nrn2201
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/nrn2961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009626583
188 https://doi.org/10.1038/nrn2961
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1002/(sici)1522-2594(199903)41:3<469::aid-mrm7>3.0.co;2-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009577570
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1002/brb3.591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040053447
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1002/hbm.22583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040371029
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1002/hbm.23207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040217801
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1002/mrm.1910340409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007471430
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1002/mrm.26606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009791851
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/mrm.26905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091757042
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.brainresrev.2007.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022859923
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.expneurol.2013.08.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015522706
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.jneumeth.2010.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021842045
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.mri.2017.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083424897
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.neuroimage.2007.06.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011086580
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.neuroimage.2007.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019268552
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.neuroimage.2008.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052192861
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.neuroimage.2011.10.059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041898561
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.neuroimage.2013.04.124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037911794
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.neuroimage.2016.02.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026151879
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.neuroimage.2016.09.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042983202
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.neuroimage.2016.12.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023353586
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.neuroimage.2017.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090331429
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.neuron.2013.04.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016744395
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.neuroscience.2016.08.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050599373
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1038/jcbfm.2012.50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016481802
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1046/j.1460-9568.2003.02973.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014592153
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1073/pnas.0135058100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017455767
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1073/pnas.0913110107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027811445
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1073/pnas.1414293111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045094747
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1073/pnas.1424106112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013564438
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1073/pnas.1620520114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085102322
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1093/brain/awy083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101608895
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1097/aco.0b013e32834a12a1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019355204
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1097/wco.0b013e3283065cfb schema:sameAs https://app.dimensions.ai/details/publication/pub.1018532299
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1101/073569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085112650
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1126/science.1110913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062452085
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1148/radiol.2015150768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079170187
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1152/jn.00584.2016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063199886
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1523/jneurosci.0583-15.2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026069733
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1523/jneurosci.23-10-03963.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075290590
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1523/jneurosci.4615-05.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015832196
267 rdf:type schema:CreativeWork
268 https://doi.org/10.3121/cmr.3.3.146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027046242
269 rdf:type schema:CreativeWork
270 https://doi.org/10.3174/ajnr.a1909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018355760
271 rdf:type schema:CreativeWork
272 https://doi.org/10.3389/fnana.2012.00029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009303466
273 rdf:type schema:CreativeWork
274 https://doi.org/10.3389/fnsys.2010.00019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002405362
275 rdf:type schema:CreativeWork
276 https://doi.org/10.3390/brainsci8090173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106911535
277 rdf:type schema:CreativeWork
278 https://doi.org/10.7554/elife.02812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042445135
279 rdf:type schema:CreativeWork
280 https://www.grid.ac/institutes/grid.152326.1 schema:alternateName Vanderbilt University
281 schema:name Biomedical Engineering, Vanderbilt University, 37232, Nashville, TN, USA
282 Department of Physics and Astronomy, Vanderbilt University, 37232, Nashville, TN, USA
283 Radiology and Radiological Sciences, Vanderbilt University Medical Center, 37232, Nashville, TN, USA
284 Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA
285 rdf:type schema:Organization
286 https://www.grid.ac/institutes/grid.412807.8 schema:alternateName Vanderbilt University Medical Center
287 schema:name Radiology and Radiological Sciences, Vanderbilt University Medical Center, 37232, Nashville, TN, USA
288 Vanderbilt University Institute of Imaging Science, 37232, Nashville, TN, USA
289 rdf:type schema:Organization
 




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


...