Ontology type: schema:ScholarlyArticle
2008-06
AUTHORS ABSTRACTFunctional MRI: Perfecting the imageFunctional magnetic resonance imaging (fMRI) has become the mainstay of neuroimaging in the neural and cognitive sciences. It measures haemodynamic changes following neural activity and has the potential, eventually, to reveal the intimate details of brain organization. But in a Review Article, Nikos Logothetis strikes a note of caution: the conclusions drawn from fMRI data often ignore the actual limitations of the methodology. Logothetis gives an overview of current fMRI technology and outlines our understanding of the haemodynamic signals and the constraints they impose on the interpretation of neuroimaging data. More... »
PAGES869-878
http://scigraph.springernature.com/pub.10.1038/nature06976
DOIhttp://dx.doi.org/10.1038/nature06976
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1019522125
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/18548064
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology and Cognitive Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Neurosciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Animals",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Brain",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Feedback, Physiological",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Magnetic Resonance Imaging",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sensitivity and Specificity",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany, and Imaging Science and Biomedical Engineering, University of Manchester, Manchester M13 9PL, UK",
"id": "http://www.grid.ac/institutes/grid.5379.8",
"name": [
"Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany, and Imaging Science and Biomedical Engineering, University of Manchester, Manchester M13 9PL, UK"
],
"type": "Organization"
},
"familyName": "Logothetis",
"givenName": "Nikos K.",
"id": "sg:person.0601421747.22",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601421747.22"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/nature05193",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027759728",
"https://doi.org/10.1038/nature05193"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/34584",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032843665",
"https://doi.org/10.1038/34584"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4615-0039-1_8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000389616",
"https://doi.org/10.1007/978-1-4615-0039-1_8"
],
"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/nrn1931",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042357195",
"https://doi.org/10.1038/nrn1931"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/375139a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049202358",
"https://doi.org/10.1038/375139a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrn1784",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030986319",
"https://doi.org/10.1038/nrn1784"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1011204814320",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013341710",
"https://doi.org/10.1023/a:1011204814320"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nn1977",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050933556",
"https://doi.org/10.1038/nn1977"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00359-006-0117-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022317922",
"https://doi.org/10.1007/s00359-006-0117-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-662-03733-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040027094",
"https://doi.org/10.1007/978-3-662-03733-1"
],
"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": "sg:pub.10.1038/nrn701",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037797586",
"https://doi.org/10.1038/nrn701"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrn1519",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047989503",
"https://doi.org/10.1038/nrn1519"
],
"type": "CreativeWork"
}
],
"datePublished": "2008-06",
"datePublishedReg": "2008-06-01",
"description": "Functional MRI: Perfecting the imageFunctional magnetic resonance imaging (fMRI) has become the mainstay of neuroimaging in the neural and cognitive sciences. It measures haemodynamic changes following neural activity and has the potential, eventually, to reveal the intimate details of brain organization. But in a Review Article, Nikos Logothetis strikes a note of caution: the conclusions drawn from fMRI data often ignore the actual limitations of the methodology. Logothetis gives an overview of current fMRI technology and outlines our understanding of the haemodynamic signals and the constraints they impose on the interpretation of neuroimaging data.",
"genre": "article",
"id": "sg:pub.10.1038/nature06976",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1018957",
"issn": [
"0028-0836",
"1476-4687"
],
"name": "Nature",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "7197",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "453"
}
],
"keywords": [
"cognitive science",
"brain organization",
"fMRI technology",
"neural activity",
"fMRI data",
"haemodynamic signals",
"Logothetis",
"magnetic resonance imaging",
"fMRI",
"neuroimaging",
"resonance imaging",
"note of caution",
"haemodynamic changes",
"organization",
"actual limitations",
"understanding",
"science",
"review article",
"article",
"limitations",
"caution",
"mainstay",
"interpretation",
"data",
"overview",
"conclusion",
"imaging",
"changes",
"methodology",
"activity",
"signals",
"note",
"potential",
"constraints",
"detail",
"technology",
"intimate details"
],
"name": "What we can do and what we cannot do with fMRI",
"pagination": "869-878",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1019522125"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/nature06976"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"18548064"
]
}
],
"sameAs": [
"https://doi.org/10.1038/nature06976",
"https://app.dimensions.ai/details/publication/pub.1019522125"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:25",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_461.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/nature06976"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/nature06976'
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/nature06976'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature06976'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature06976'
This table displays all metadata directly associated to this object as RDF triples.
187 TRIPLES
22 PREDICATES
85 URIs
61 LITERALS
13 BLANK NODES