A step towards non-invasive characterization of the human frontal eye fields of individual subjects View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-06

AUTHORS

Andreas A Ioannides, Peter BC Fenwick, Elina Pitri, Lichan Liu

ABSTRACT

BACKGROUND: Identifying eye movement related areas in the frontal lobe has a long history, with microstimulation in monkeys producing the most clear-cut results. For humans, however, there is still no consensus about the location and the extent of the frontal eye field (FEF). There is also no simple non-invasive method for unambiguously defining the FEF in individual subjects, a prerequisite for clinical applications. Here we explore the use of magnetoencephalography (MEG) for the non-invasive identification and characterization of FEF activity in an individual subject. METHODS: We mapped human brain activity before, during and after saccades by applying tomographic analysis to MEG data. Statistical parametric maps and circular statistics produced plausible FEF loci, but no unambiguous definition for individual subjects. Here we first computed the spectral decomposition and correlation with electrooculogram (EOG) of the tomographic brain activations. For each of these two measures statistical comparisons were made between different saccades. RESULTS: In this paper, we first review the frontal cortex activations identified in earlier animal and human studies and place the putative human FEFs in a well-defined anatomical framework. This framework is then used as reference for describing the results of new Fourier analysis of the tomographic solutions comparing active saccade tasks and their controls. The most consistent change in the dorsal frontal cortex was at the putative left FEF, for both saccades to the left and right. The asymmetric result is consistent with the 1-way callosal traffic theory. We also showed that the new correlation analysis had its most consistent change in the contralateral putative FEF. This result was obtained for EOG latencies before saccade onset with delays of a few hundreds of milliseconds (FEF activity leading the EOG) and only for visual cues signaling the execution of a saccade in a previously defined saccade direction. CONCLUSIONS: The FEF definition derived from microstimulation describes only one of the areas in the dorsal lateral frontal lobe that act together to plan, prepare and execute a saccade. The definition and characterization of these areas in an individual subject can be obtained from non-invasive MEG measurements. More... »

PAGES

s11

References to SciGraph publications

Journal

TITLE

EPJ Nonlinear Biomedical Physics

ISSUE

Suppl 1

VOLUME

4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1753-4631-4-s1-s11

DOI

http://dx.doi.org/10.1186/1753-4631-4-s1-s11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006684082

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20522261


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": {
          "name": [
            "Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ioannides", 
        "givenName": "Andreas A", 
        "id": "sg:person.0600434417.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600434417.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus", 
            "Kings College Institute of Psychiatry, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fenwick", 
        "givenName": "Peter BC", 
        "id": "sg:person.010376637134.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010376637134.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pitri", 
        "givenName": "Elina", 
        "id": "sg:person.01063701257.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063701257.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Lichan", 
        "id": "sg:person.01052261460.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052261460.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0140-6736(00)47063-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004941407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(00)47063-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004941407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/8.1.40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007278923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspl.1874.0058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008481206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/neuro.09.001.2007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009376822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.900970205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009783596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/awh110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010921280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0896-6273(04)00047-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010962902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pneurobio.2009.07.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012084429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0028-3932(95)00134-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013282085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.1091-05.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015109357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.psychres.2008.10.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016383840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1460-9568.2005.04129.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018178120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1460-9568.2005.04129.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018178120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archpsyc.1993.01820180076008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019105793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0896-6273(00)80593-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019640130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/bhi124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021491935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/bhi124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021491935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/jocn.2009.21235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022386715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001756-200006260-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022998911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001756-200006260-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022998911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/bhg091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025790514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1503/cmaj.1040322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028185452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1503/cmaj.1040322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028185452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/jocn.2009.21354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031697506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2008.09.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034493939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0193(1999)8:1<28::aid-hbm3>3.0.co;2-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039729955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0266-5611/6/4/005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041998952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.902820308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044477516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1753-4631-4-s1-s10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051706847", 
          "https://doi.org/10.1186/1753-4631-4-s1-s10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/116.2.355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059439164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1533317509332093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064038588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1533317509332093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064038588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1979.42.3.681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074608280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.11-03-00667.1991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077313086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1985.53.3.603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080064535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1985.54.3.714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080098369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1997.77.6.3386", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083113199"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-06", 
    "datePublishedReg": "2010-06-01", 
    "description": "BACKGROUND: Identifying eye movement related areas in the frontal lobe has a long history, with microstimulation in monkeys producing the most clear-cut results. For humans, however, there is still no consensus about the location and the extent of the frontal eye field (FEF). There is also no simple non-invasive method for unambiguously defining the FEF in individual subjects, a prerequisite for clinical applications. Here we explore the use of magnetoencephalography (MEG) for the non-invasive identification and characterization of FEF activity in an individual subject.\nMETHODS: We mapped human brain activity before, during and after saccades by applying tomographic analysis to MEG data. Statistical parametric maps and circular statistics produced plausible FEF loci, but no unambiguous definition for individual subjects. Here we first computed the spectral decomposition and correlation with electrooculogram (EOG) of the tomographic brain activations. For each of these two measures statistical comparisons were made between different saccades.\nRESULTS: In this paper, we first review the frontal cortex activations identified in earlier animal and human studies and place the putative human FEFs in a well-defined anatomical framework. This framework is then used as reference for describing the results of new Fourier analysis of the tomographic solutions comparing active saccade tasks and their controls. The most consistent change in the dorsal frontal cortex was at the putative left FEF, for both saccades to the left and right. The asymmetric result is consistent with the 1-way callosal traffic theory. We also showed that the new correlation analysis had its most consistent change in the contralateral putative FEF. This result was obtained for EOG latencies before saccade onset with delays of a few hundreds of milliseconds (FEF activity leading the EOG) and only for visual cues signaling the execution of a saccade in a previously defined saccade direction.\nCONCLUSIONS: The FEF definition derived from microstimulation describes only one of the areas in the dorsal lateral frontal lobe that act together to plan, prepare and execute a saccade. The definition and characterization of these areas in an individual subject can be obtained from non-invasive MEG measurements.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1753-4631-4-s1-s11", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1295581", 
        "issn": [
          "2195-0008"
        ], 
        "name": "EPJ Nonlinear Biomedical Physics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "A step towards non-invasive characterization of the human frontal eye fields of individual subjects", 
    "pagination": "s11", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1fd6c6c08464ee8592c0ad0ee8ffb15021db1086dbc36761ba30bed44b561488"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20522261"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101303143"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1753-4631-4-s1-s11"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006684082"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1753-4631-4-s1-s11", 
      "https://app.dimensions.ai/details/publication/pub.1006684082"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:46", 
    "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_8684_00000510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1753-4631-4-S1-S11"
  }
]
 

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.10.1186/1753-4631-4-s1-s11'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1753-4631-4-s1-s11'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1753-4631-4-s1-s11'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1753-4631-4-s1-s11'


 

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

193 TRIPLES      21 PREDICATES      61 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1753-4631-4-s1-s11 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author Nd3530520da9742e8a41dacc6af9aff9e
4 schema:citation sg:pub.10.1186/1753-4631-4-s1-s10
5 https://doi.org/10.1001/archpsyc.1993.01820180076008
6 https://doi.org/10.1002/(sici)1097-0193(1999)8:1<28::aid-hbm3>3.0.co;2-t
7 https://doi.org/10.1002/cne.900970205
8 https://doi.org/10.1002/cne.902820308
9 https://doi.org/10.1016/0028-3932(95)00134-4
10 https://doi.org/10.1016/j.neuroimage.2008.09.030
11 https://doi.org/10.1016/j.pneurobio.2009.07.010
12 https://doi.org/10.1016/j.psychres.2008.10.031
13 https://doi.org/10.1016/s0140-6736(00)47063-7
14 https://doi.org/10.1016/s0896-6273(00)80593-0
15 https://doi.org/10.1016/s0896-6273(04)00047-9
16 https://doi.org/10.1088/0266-5611/6/4/005
17 https://doi.org/10.1093/brain/116.2.355
18 https://doi.org/10.1093/brain/awh110
19 https://doi.org/10.1093/cercor/8.1.40
20 https://doi.org/10.1093/cercor/bhg091
21 https://doi.org/10.1093/cercor/bhi124
22 https://doi.org/10.1097/00001756-200006260-00021
23 https://doi.org/10.1098/rspl.1874.0058
24 https://doi.org/10.1111/j.1460-9568.2005.04129.x
25 https://doi.org/10.1152/jn.1979.42.3.681
26 https://doi.org/10.1152/jn.1985.53.3.603
27 https://doi.org/10.1152/jn.1985.54.3.714
28 https://doi.org/10.1152/jn.1997.77.6.3386
29 https://doi.org/10.1162/jocn.2009.21235
30 https://doi.org/10.1162/jocn.2009.21354
31 https://doi.org/10.1177/1533317509332093
32 https://doi.org/10.1503/cmaj.1040322
33 https://doi.org/10.1523/jneurosci.1091-05.2005
34 https://doi.org/10.1523/jneurosci.11-03-00667.1991
35 https://doi.org/10.3389/neuro.09.001.2007
36 schema:datePublished 2010-06
37 schema:datePublishedReg 2010-06-01
38 schema:description BACKGROUND: Identifying eye movement related areas in the frontal lobe has a long history, with microstimulation in monkeys producing the most clear-cut results. For humans, however, there is still no consensus about the location and the extent of the frontal eye field (FEF). There is also no simple non-invasive method for unambiguously defining the FEF in individual subjects, a prerequisite for clinical applications. Here we explore the use of magnetoencephalography (MEG) for the non-invasive identification and characterization of FEF activity in an individual subject. METHODS: We mapped human brain activity before, during and after saccades by applying tomographic analysis to MEG data. Statistical parametric maps and circular statistics produced plausible FEF loci, but no unambiguous definition for individual subjects. Here we first computed the spectral decomposition and correlation with electrooculogram (EOG) of the tomographic brain activations. For each of these two measures statistical comparisons were made between different saccades. RESULTS: In this paper, we first review the frontal cortex activations identified in earlier animal and human studies and place the putative human FEFs in a well-defined anatomical framework. This framework is then used as reference for describing the results of new Fourier analysis of the tomographic solutions comparing active saccade tasks and their controls. The most consistent change in the dorsal frontal cortex was at the putative left FEF, for both saccades to the left and right. The asymmetric result is consistent with the 1-way callosal traffic theory. We also showed that the new correlation analysis had its most consistent change in the contralateral putative FEF. This result was obtained for EOG latencies before saccade onset with delays of a few hundreds of milliseconds (FEF activity leading the EOG) and only for visual cues signaling the execution of a saccade in a previously defined saccade direction. CONCLUSIONS: The FEF definition derived from microstimulation describes only one of the areas in the dorsal lateral frontal lobe that act together to plan, prepare and execute a saccade. The definition and characterization of these areas in an individual subject can be obtained from non-invasive MEG measurements.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree true
42 schema:isPartOf N09517fca7fc243068a866fb296e364a5
43 N919ea2b1745e44b284f7163f06949bd1
44 sg:journal.1295581
45 schema:name A step towards non-invasive characterization of the human frontal eye fields of individual subjects
46 schema:pagination s11
47 schema:productId N052fc5693b98475aa5ace578325cd8b2
48 N223522c1c2c54d5f96ea96fd31090810
49 N2d086fba6b014c7491ebe90c30f03094
50 N6447823a178041259e7b4aa110938e34
51 Nf8cd554904de4f1481a6aed4e08674dc
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006684082
53 https://doi.org/10.1186/1753-4631-4-s1-s11
54 schema:sdDatePublished 2019-04-10T20:46
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N1be9eadcb9774444b0cc3ab4dde84e8e
57 schema:url http://link.springer.com/10.1186%2F1753-4631-4-S1-S11
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N052fc5693b98475aa5ace578325cd8b2 schema:name doi
62 schema:value 10.1186/1753-4631-4-s1-s11
63 rdf:type schema:PropertyValue
64 N09517fca7fc243068a866fb296e364a5 schema:volumeNumber 4
65 rdf:type schema:PublicationVolume
66 N0b82d906906e46e1973528d2617ce3da rdf:first sg:person.010376637134.38
67 rdf:rest N8c530822141b45eab12a4ecc6aad4407
68 N1be9eadcb9774444b0cc3ab4dde84e8e schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N223522c1c2c54d5f96ea96fd31090810 schema:name dimensions_id
71 schema:value pub.1006684082
72 rdf:type schema:PropertyValue
73 N2d086fba6b014c7491ebe90c30f03094 schema:name readcube_id
74 schema:value 1fd6c6c08464ee8592c0ad0ee8ffb15021db1086dbc36761ba30bed44b561488
75 rdf:type schema:PropertyValue
76 N2dbc02cebc7d4b24b037b0687721aba6 schema:name Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus
77 rdf:type schema:Organization
78 N513304c297cb4f45be40b35b7590048e schema:name Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus
79 rdf:type schema:Organization
80 N6447823a178041259e7b4aa110938e34 schema:name pubmed_id
81 schema:value 20522261
82 rdf:type schema:PropertyValue
83 N6925e83ef5dd438db797a221af8911af rdf:first sg:person.01052261460.51
84 rdf:rest rdf:nil
85 N8c530822141b45eab12a4ecc6aad4407 rdf:first sg:person.01063701257.18
86 rdf:rest N6925e83ef5dd438db797a221af8911af
87 N919ea2b1745e44b284f7163f06949bd1 schema:issueNumber Suppl 1
88 rdf:type schema:PublicationIssue
89 N993730f65d7e4e0790a20faa2cb7b550 schema:name Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus
90 rdf:type schema:Organization
91 Nd3530520da9742e8a41dacc6af9aff9e rdf:first sg:person.0600434417.84
92 rdf:rest N0b82d906906e46e1973528d2617ce3da
93 Nf8cd554904de4f1481a6aed4e08674dc schema:name nlm_unique_id
94 schema:value 101303143
95 rdf:type schema:PropertyValue
96 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
97 schema:name Medical and Health Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
100 schema:name Neurosciences
101 rdf:type schema:DefinedTerm
102 sg:journal.1295581 schema:issn 2195-0008
103 schema:name EPJ Nonlinear Biomedical Physics
104 rdf:type schema:Periodical
105 sg:person.010376637134.38 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
106 schema:familyName Fenwick
107 schema:givenName Peter BC
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010376637134.38
109 rdf:type schema:Person
110 sg:person.01052261460.51 schema:affiliation N993730f65d7e4e0790a20faa2cb7b550
111 schema:familyName Liu
112 schema:givenName Lichan
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052261460.51
114 rdf:type schema:Person
115 sg:person.01063701257.18 schema:affiliation N2dbc02cebc7d4b24b037b0687721aba6
116 schema:familyName Pitri
117 schema:givenName Elina
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063701257.18
119 rdf:type schema:Person
120 sg:person.0600434417.84 schema:affiliation N513304c297cb4f45be40b35b7590048e
121 schema:familyName Ioannides
122 schema:givenName Andreas A
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600434417.84
124 rdf:type schema:Person
125 sg:pub.10.1186/1753-4631-4-s1-s10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051706847
126 https://doi.org/10.1186/1753-4631-4-s1-s10
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1001/archpsyc.1993.01820180076008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019105793
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1002/(sici)1097-0193(1999)8:1<28::aid-hbm3>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1039729955
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1002/cne.900970205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009783596
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1002/cne.902820308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044477516
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/0028-3932(95)00134-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013282085
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.neuroimage.2008.09.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034493939
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.pneurobio.2009.07.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012084429
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.psychres.2008.10.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016383840
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/s0140-6736(00)47063-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004941407
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/s0896-6273(00)80593-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019640130
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s0896-6273(04)00047-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010962902
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1088/0266-5611/6/4/005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041998952
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1093/brain/116.2.355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059439164
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1093/brain/awh110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010921280
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1093/cercor/8.1.40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007278923
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1093/cercor/bhg091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025790514
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1093/cercor/bhi124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021491935
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1097/00001756-200006260-00021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022998911
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1098/rspl.1874.0058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008481206
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1111/j.1460-9568.2005.04129.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018178120
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1152/jn.1979.42.3.681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074608280
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1152/jn.1985.53.3.603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080064535
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1152/jn.1985.54.3.714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080098369
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1152/jn.1997.77.6.3386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083113199
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1162/jocn.2009.21235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022386715
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1162/jocn.2009.21354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031697506
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1177/1533317509332093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064038588
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1503/cmaj.1040322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028185452
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1523/jneurosci.1091-05.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015109357
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1523/jneurosci.11-03-00667.1991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077313086
187 rdf:type schema:CreativeWork
188 https://doi.org/10.3389/neuro.09.001.2007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009376822
189 rdf:type schema:CreativeWork
190 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
191 schema:name Kings College Institute of Psychiatry, London, UK
192 Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus
193 rdf:type schema:Organization
 




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


...