Diffusion tensor imaging and brain volumetry in Fabry disease patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-01-05

AUTHORS

Teemu Paavilainen, Virva Lepomäki, Jani Saunavaara, Ronald Borra, Pirjo Nuutila, Ilkka Kantola, Riitta Parkkola

ABSTRACT

IntroductionFabry disease is a rare lysosomal storage disorder leading to cellular accumulation of globotriaosylceramide, especially in blood vessels. It is associated with severe early onset cerebrovascular disease and kidney and heart failure. The purpose of this study was to reveal possible disturbances in white matter integrity in Fabry disease patients using voxelwise diffusion-tensor imaging (DTI) analysis.MethodsTwelve Fabry disease patients, along with 13 healthy controls, underwent DTI and structural MRI. Voxel-based analysis of the DTI data was performed to assess possible differences in DTI parameters between Fabry disease patients and healthy controls. A selective region of interest analysis was performed for healthy volunteers and Fabry disease patients having a mild burden of T2-hyperintense lesions. We also measured normalised brain tissue volumes and performed a voxel-based volume analysis for grey matter.ResultsVoxel-based analysis of DTI data showed areas of significantly reduced fractional anisotropy and increased mean diffusivity in patients with Fabry disease. Eight patients had a mild burden of white matter lesions on their T2 scans. Region of interest analysis on areas showing reduced fractional anisotropy in voxelwise analysis also revealed reduced fractional anisotropy values in this patient group compared to eight healthy volunteers. The brain volume analyses did not reveal significant differences between the Fabry disease patients and the controls.ConclusionThese findings suggest a microstructural damage in brain white matter of Fabry disease patients, which can be revealed before excessive white matter lesions load is visible on conventional MR scans. More... »

PAGES

551-558

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00234-012-1131-8

DOI

http://dx.doi.org/10.1007/s00234-012-1131-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037112950

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23292181


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/2008/11", 
        "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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diffusion Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fabry Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nerve Fibers, Myelinated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Organ Size", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paavilainen", 
        "givenName": "Teemu", 
        "id": "sg:person.0704147225.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704147225.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.470895.7", 
          "name": [
            "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lepom\u00e4ki", 
        "givenName": "Virva", 
        "id": "sg:person.0654636266.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654636266.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saunavaara", 
        "givenName": "Jani", 
        "id": "sg:person.0674335047.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674335047.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Borra", 
        "givenName": "Ronald", 
        "id": "sg:person.015771361614.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015771361614.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medicine, Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland", 
            "Department of Medicine, Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nuutila", 
        "givenName": "Pirjo", 
        "id": "sg:person.0763376117.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763376117.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medicine, Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Department of Medicine, Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kantola", 
        "givenName": "Ilkka", 
        "id": "sg:person.01246344125.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246344125.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.470895.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
            "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parkkola", 
        "givenName": "Riitta", 
        "id": "sg:person.01364434501.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364434501.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00415-006-0118-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006010435", 
          "https://doi.org/10.1007/s00415-006-0118-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00415-005-0020-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030080269", 
          "https://doi.org/10.1007/s00415-005-0020-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-01-05", 
    "datePublishedReg": "2013-01-05", 
    "description": "IntroductionFabry disease is a rare lysosomal storage disorder leading to cellular accumulation of globotriaosylceramide, especially in blood vessels. It is associated with severe early onset cerebrovascular disease and kidney and heart failure. The purpose of this study was to reveal possible disturbances in white matter integrity in Fabry disease patients using voxelwise diffusion-tensor imaging (DTI) analysis.MethodsTwelve Fabry disease patients, along with 13 healthy controls, underwent DTI and structural MRI. Voxel-based analysis of the DTI data was performed to assess possible differences in DTI parameters between Fabry disease patients and healthy controls. A selective region of interest analysis was performed for healthy volunteers and Fabry disease patients having a mild burden of T2-hyperintense lesions. We also measured normalised brain tissue volumes and performed a voxel-based volume analysis for grey matter.ResultsVoxel-based analysis of DTI data showed areas of significantly reduced fractional anisotropy and increased mean diffusivity in patients with Fabry disease. Eight patients had a mild burden of white matter lesions on their T2 scans. Region of interest analysis on areas showing reduced fractional anisotropy in voxelwise analysis also revealed reduced fractional anisotropy values in this patient group compared to eight healthy volunteers. The brain volume analyses did not reveal significant differences between the Fabry disease patients and the controls.ConclusionThese findings suggest a microstructural damage in brain white matter of Fabry disease patients, which can be revealed before excessive white matter lesions load is visible on conventional MR scans.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00234-012-1131-8", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1055404", 
        "issn": [
          "0028-3940", 
          "1432-1920"
        ], 
        "name": "Neuroradiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "55"
      }
    ], 
    "keywords": [
      "Fabry disease patients", 
      "disease patients", 
      "mild burden", 
      "healthy controls", 
      "healthy volunteers", 
      "early onset cerebrovascular disease", 
      "white matter lesion load", 
      "fractional anisotropy", 
      "interest analysis", 
      "diffusion tensor imaging (DTI) analysis", 
      "T2-hyperintense lesions", 
      "white matter lesions", 
      "brain tissue volumes", 
      "rare lysosomal storage disorder", 
      "brain volume analysis", 
      "fractional anisotropy values", 
      "white matter integrity", 
      "diffusion tensor imaging", 
      "DTI data", 
      "IntroductionFabry disease", 
      "lysosomal storage disorder", 
      "heart failure", 
      "cerebrovascular disease", 
      "matter lesions", 
      "patient group", 
      "brain white matter", 
      "lesion load", 
      "Fabry disease", 
      "patients", 
      "white matter", 
      "brain volumetry", 
      "conventional MR scans", 
      "gray matter", 
      "ConclusionThese findings", 
      "structural MRI", 
      "DTI parameters", 
      "mean diffusivity", 
      "tensor imaging", 
      "blood vessels", 
      "voxelwise analysis", 
      "MR scans", 
      "storage disorder", 
      "disease", 
      "T2 scans", 
      "tissue volume", 
      "cellular accumulation", 
      "significant differences", 
      "lesions", 
      "volume analysis", 
      "volunteers", 
      "scans", 
      "burden", 
      "possible differences", 
      "imaging analysis", 
      "kidney", 
      "selective regions", 
      "control", 
      "globotriaosylceramide", 
      "MRI", 
      "volumetry", 
      "disorders", 
      "anisotropy values", 
      "differences", 
      "DTI", 
      "microstructural damage", 
      "vessels", 
      "imaging", 
      "ResultsVoxel", 
      "group", 
      "failure", 
      "findings", 
      "possible disturbances", 
      "damage", 
      "analysis", 
      "data", 
      "study", 
      "accumulation", 
      "voxels", 
      "volume", 
      "disturbances", 
      "area", 
      "purpose", 
      "region", 
      "integrity", 
      "values", 
      "matter", 
      "parameters", 
      "load", 
      "diffusivity", 
      "anisotropy", 
      "severe early onset cerebrovascular disease", 
      "onset cerebrovascular disease", 
      "matter integrity", 
      "voxelwise diffusion-tensor imaging (DTI) analysis", 
      "MethodsTwelve Fabry disease patients", 
      "voxel-based volume analysis", 
      "excessive white matter lesions load", 
      "matter lesions load"
    ], 
    "name": "Diffusion tensor imaging and brain volumetry in Fabry disease patients", 
    "pagination": "551-558", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037112950"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00234-012-1131-8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23292181"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00234-012-1131-8", 
      "https://app.dimensions.ai/details/publication/pub.1037112950"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_600.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00234-012-1131-8"
  }
]
 

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.10.1007/s00234-012-1131-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00234-012-1131-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00234-012-1131-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00234-012-1131-8'


 

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

285 TRIPLES      22 PREDICATES      143 URIs      133 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00234-012-1131-8 schema:about N01e23fe1a6de412f973b10904d467d17
2 N04e738601cf24c909ca1037d6640def6
3 N0a9fd013f6ef4e22bef305b27d7c3b8f
4 N0b904ac24f744714938f16a26051d23f
5 N0f27a6db711445c99c05d4ebb916cbc7
6 N19093045d8fe410fa2d901eb2e89294e
7 N29439d8b49ad45bdb38adf20cd77f30f
8 N3b0cff29159f45e8b48974ff237f8233
9 N4acd0db573da4e2e99ab5404b506cee1
10 N4bfedbe6855f49e68832b094c3c59de4
11 N596d77d684334a8fbebac65b8d339c0c
12 N80b1f919a7d946b293f6c49265f1b43b
13 Na3add63f41a14c96ae6146cf2d1313d6
14 Nd1be8978d1ee471880717fd0dba363bf
15 Ne516555b097c412ab50594142556bcee
16 Ne571ee198f464355a4c4f2688a20c59c
17 Nea86d165c490494b8b000e6beeb1215a
18 anzsrc-for:11
19 anzsrc-for:1109
20 schema:author Ndc658f28b61140f794f1600f86604b49
21 schema:citation sg:pub.10.1007/s00415-005-0020-z
22 sg:pub.10.1007/s00415-006-0118-y
23 schema:datePublished 2013-01-05
24 schema:datePublishedReg 2013-01-05
25 schema:description IntroductionFabry disease is a rare lysosomal storage disorder leading to cellular accumulation of globotriaosylceramide, especially in blood vessels. It is associated with severe early onset cerebrovascular disease and kidney and heart failure. The purpose of this study was to reveal possible disturbances in white matter integrity in Fabry disease patients using voxelwise diffusion-tensor imaging (DTI) analysis.MethodsTwelve Fabry disease patients, along with 13 healthy controls, underwent DTI and structural MRI. Voxel-based analysis of the DTI data was performed to assess possible differences in DTI parameters between Fabry disease patients and healthy controls. A selective region of interest analysis was performed for healthy volunteers and Fabry disease patients having a mild burden of T2-hyperintense lesions. We also measured normalised brain tissue volumes and performed a voxel-based volume analysis for grey matter.ResultsVoxel-based analysis of DTI data showed areas of significantly reduced fractional anisotropy and increased mean diffusivity in patients with Fabry disease. Eight patients had a mild burden of white matter lesions on their T2 scans. Region of interest analysis on areas showing reduced fractional anisotropy in voxelwise analysis also revealed reduced fractional anisotropy values in this patient group compared to eight healthy volunteers. The brain volume analyses did not reveal significant differences between the Fabry disease patients and the controls.ConclusionThese findings suggest a microstructural damage in brain white matter of Fabry disease patients, which can be revealed before excessive white matter lesions load is visible on conventional MR scans.
26 schema:genre article
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N64b3581a8b01420f87da309d99225ebd
30 Nefb44f50565747969bb462b7fbb9056f
31 sg:journal.1055404
32 schema:keywords ConclusionThese findings
33 DTI
34 DTI data
35 DTI parameters
36 Fabry disease
37 Fabry disease patients
38 IntroductionFabry disease
39 MR scans
40 MRI
41 MethodsTwelve Fabry disease patients
42 ResultsVoxel
43 T2 scans
44 T2-hyperintense lesions
45 accumulation
46 analysis
47 anisotropy
48 anisotropy values
49 area
50 blood vessels
51 brain tissue volumes
52 brain volume analysis
53 brain volumetry
54 brain white matter
55 burden
56 cellular accumulation
57 cerebrovascular disease
58 control
59 conventional MR scans
60 damage
61 data
62 differences
63 diffusion tensor imaging
64 diffusion tensor imaging (DTI) analysis
65 diffusivity
66 disease
67 disease patients
68 disorders
69 disturbances
70 early onset cerebrovascular disease
71 excessive white matter lesions load
72 failure
73 findings
74 fractional anisotropy
75 fractional anisotropy values
76 globotriaosylceramide
77 gray matter
78 group
79 healthy controls
80 healthy volunteers
81 heart failure
82 imaging
83 imaging analysis
84 integrity
85 interest analysis
86 kidney
87 lesion load
88 lesions
89 load
90 lysosomal storage disorder
91 matter
92 matter integrity
93 matter lesions
94 matter lesions load
95 mean diffusivity
96 microstructural damage
97 mild burden
98 onset cerebrovascular disease
99 parameters
100 patient group
101 patients
102 possible differences
103 possible disturbances
104 purpose
105 rare lysosomal storage disorder
106 region
107 scans
108 selective regions
109 severe early onset cerebrovascular disease
110 significant differences
111 storage disorder
112 structural MRI
113 study
114 tensor imaging
115 tissue volume
116 values
117 vessels
118 volume
119 volume analysis
120 volumetry
121 volunteers
122 voxel-based volume analysis
123 voxels
124 voxelwise analysis
125 voxelwise diffusion-tensor imaging (DTI) analysis
126 white matter
127 white matter integrity
128 white matter lesion load
129 white matter lesions
130 schema:name Diffusion tensor imaging and brain volumetry in Fabry disease patients
131 schema:pagination 551-558
132 schema:productId N41bf85540b3241978d7d65eee8203333
133 Naddefeaa8e8541f0b9ea3907bb51f975
134 Ne19c146ba5f845079038d3b7dcc52869
135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037112950
136 https://doi.org/10.1007/s00234-012-1131-8
137 schema:sdDatePublished 2022-01-01T18:30
138 schema:sdLicense https://scigraph.springernature.com/explorer/license/
139 schema:sdPublisher N1838dce934a840a19e2f6988445f8a7e
140 schema:url https://doi.org/10.1007/s00234-012-1131-8
141 sgo:license sg:explorer/license/
142 sgo:sdDataset articles
143 rdf:type schema:ScholarlyArticle
144 N01e23fe1a6de412f973b10904d467d17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Adult
146 rdf:type schema:DefinedTerm
147 N04e738601cf24c909ca1037d6640def6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Humans
149 rdf:type schema:DefinedTerm
150 N0a9fd013f6ef4e22bef305b27d7c3b8f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Brain
152 rdf:type schema:DefinedTerm
153 N0b904ac24f744714938f16a26051d23f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Middle Aged
155 rdf:type schema:DefinedTerm
156 N0f27a6db711445c99c05d4ebb916cbc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Female
158 rdf:type schema:DefinedTerm
159 N1838dce934a840a19e2f6988445f8a7e schema:name Springer Nature - SN SciGraph project
160 rdf:type schema:Organization
161 N19093045d8fe410fa2d901eb2e89294e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Nerve Fibers, Myelinated
163 rdf:type schema:DefinedTerm
164 N1e841c60afda43dcb08d2f6a19528981 rdf:first sg:person.0763376117.17
165 rdf:rest N5e4acf38fe22478d8a971033fbf1668a
166 N29439d8b49ad45bdb38adf20cd77f30f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Adolescent
168 rdf:type schema:DefinedTerm
169 N3b0cff29159f45e8b48974ff237f8233 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Fabry Disease
171 rdf:type schema:DefinedTerm
172 N41bf85540b3241978d7d65eee8203333 schema:name pubmed_id
173 schema:value 23292181
174 rdf:type schema:PropertyValue
175 N4acd0db573da4e2e99ab5404b506cee1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Diffusion Magnetic Resonance Imaging
177 rdf:type schema:DefinedTerm
178 N4bfedbe6855f49e68832b094c3c59de4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Aged
180 rdf:type schema:DefinedTerm
181 N4f5657a3771f41808bae0246fcf2b0bb rdf:first sg:person.0654636266.12
182 rdf:rest N8142eaefedda4f5aabed5a9d62b103f1
183 N596d77d684334a8fbebac65b8d339c0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Young Adult
185 rdf:type schema:DefinedTerm
186 N5e4acf38fe22478d8a971033fbf1668a rdf:first sg:person.01246344125.58
187 rdf:rest Nae82fa9b26724714b7ea7e4599f4f660
188 N64b3581a8b01420f87da309d99225ebd schema:issueNumber 5
189 rdf:type schema:PublicationIssue
190 N80b1f919a7d946b293f6c49265f1b43b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Organ Size
192 rdf:type schema:DefinedTerm
193 N8142eaefedda4f5aabed5a9d62b103f1 rdf:first sg:person.0674335047.01
194 rdf:rest Nc36614891cb94be5b69a87a8a55da5f6
195 Na3add63f41a14c96ae6146cf2d1313d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
196 schema:name Sensitivity and Specificity
197 rdf:type schema:DefinedTerm
198 Naddefeaa8e8541f0b9ea3907bb51f975 schema:name dimensions_id
199 schema:value pub.1037112950
200 rdf:type schema:PropertyValue
201 Nae82fa9b26724714b7ea7e4599f4f660 rdf:first sg:person.01364434501.60
202 rdf:rest rdf:nil
203 Nc36614891cb94be5b69a87a8a55da5f6 rdf:first sg:person.015771361614.38
204 rdf:rest N1e841c60afda43dcb08d2f6a19528981
205 Nd1be8978d1ee471880717fd0dba363bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Reproducibility of Results
207 rdf:type schema:DefinedTerm
208 Ndc658f28b61140f794f1600f86604b49 rdf:first sg:person.0704147225.57
209 rdf:rest N4f5657a3771f41808bae0246fcf2b0bb
210 Ne19c146ba5f845079038d3b7dcc52869 schema:name doi
211 schema:value 10.1007/s00234-012-1131-8
212 rdf:type schema:PropertyValue
213 Ne516555b097c412ab50594142556bcee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
214 schema:name Male
215 rdf:type schema:DefinedTerm
216 Ne571ee198f464355a4c4f2688a20c59c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
217 schema:name Image Interpretation, Computer-Assisted
218 rdf:type schema:DefinedTerm
219 Nea86d165c490494b8b000e6beeb1215a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
220 schema:name Imaging, Three-Dimensional
221 rdf:type schema:DefinedTerm
222 Nefb44f50565747969bb462b7fbb9056f schema:volumeNumber 55
223 rdf:type schema:PublicationVolume
224 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
225 schema:name Medical and Health Sciences
226 rdf:type schema:DefinedTerm
227 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
228 schema:name Neurosciences
229 rdf:type schema:DefinedTerm
230 sg:journal.1055404 schema:issn 0028-3940
231 1432-1920
232 schema:name Neuroradiology
233 schema:publisher Springer Nature
234 rdf:type schema:Periodical
235 sg:person.01246344125.58 schema:affiliation grid-institutes:grid.410552.7
236 schema:familyName Kantola
237 schema:givenName Ilkka
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246344125.58
239 rdf:type schema:Person
240 sg:person.01364434501.60 schema:affiliation grid-institutes:grid.470895.7
241 schema:familyName Parkkola
242 schema:givenName Riitta
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364434501.60
244 rdf:type schema:Person
245 sg:person.015771361614.38 schema:affiliation grid-institutes:grid.410552.7
246 schema:familyName Borra
247 schema:givenName Ronald
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015771361614.38
249 rdf:type schema:Person
250 sg:person.0654636266.12 schema:affiliation grid-institutes:grid.470895.7
251 schema:familyName Lepomäki
252 schema:givenName Virva
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654636266.12
254 rdf:type schema:Person
255 sg:person.0674335047.01 schema:affiliation grid-institutes:grid.410552.7
256 schema:familyName Saunavaara
257 schema:givenName Jani
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674335047.01
259 rdf:type schema:Person
260 sg:person.0704147225.57 schema:affiliation grid-institutes:grid.410552.7
261 schema:familyName Paavilainen
262 schema:givenName Teemu
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704147225.57
264 rdf:type schema:Person
265 sg:person.0763376117.17 schema:affiliation grid-institutes:grid.410552.7
266 schema:familyName Nuutila
267 schema:givenName Pirjo
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763376117.17
269 rdf:type schema:Person
270 sg:pub.10.1007/s00415-005-0020-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1030080269
271 https://doi.org/10.1007/s00415-005-0020-z
272 rdf:type schema:CreativeWork
273 sg:pub.10.1007/s00415-006-0118-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1006010435
274 https://doi.org/10.1007/s00415-006-0118-y
275 rdf:type schema:CreativeWork
276 grid-institutes:grid.410552.7 schema:alternateName Department of Medicine, Turku University Hospital, Turku, Finland
277 Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland
278 schema:name Department of Medicine, Turku University Hospital, Turku, Finland
279 Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland
280 Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
281 rdf:type schema:Organization
282 grid-institutes:grid.470895.7 schema:alternateName Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
283 schema:name Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland
284 Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
285 rdf:type schema:Organization
 




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


...