Hippocampal subfield volumetry in patients with subcortical vascular mild cognitive impairment View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-02-15

AUTHORS

Xinwei Li, Deyu Li, Qiongling Li, Yuxia Li, Kuncheng Li, Shuyu Li, Ying Han

ABSTRACT

Memory impairment is a typical characteristic of patients with subcortical vascular mild cognitive impairment (svMCI) or with amnestic mild cognitive impairment (aMCI). The hippocampus, which plays an important role in the consolidation of information from short-term memory to long-term memory, is a heterogeneous structure that consists of several anatomically and functionally distinct subfields. However, whether distinct hippocampal subfields are differentially and selectively affected by svMCI pathology and whether these abnormal changes in hippocampal subfields are different between svMCI and aMCI patients are largely unknown. A total of 26 svMCI patients, 26 aMCI patients and 26 healthy controls matched according to age, gender and years of education were enrolled in this study. We utilized an automated hippocampal subfield segmentation method provided by FreeSurfer to estimate the volume of several hippocampal subfields, including the cornu ammonis (CA) areas, the dentate gyrus (DG), the subiculum and the presubiculum. Compared with controls, the left subiculum and presubiculum and the right CA4/DG displayed significant atrophy in patients with svMCI. Interestingly, we also found significant differences in the volume of the right CA1 between the svMCI and aMCI groups. Taken together, our results reveal region-specific vulnerability of hippocampal subfields to svMCI pathology and identify distinct hippocampal subfield atrophy patterns between svMCI and aMCI patients. More... »

PAGES

20873

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep20873

DOI

http://dx.doi.org/10.1038/srep20873

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050943487

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26876151


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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Atrophy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain Mapping", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "CA1 Region, Hippocampal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cognitive Dysfunction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dentate Gyrus", 
        "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 Enhancement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Memory, Long-Term", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Memory, Short-Term", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Xinwei", 
        "id": "sg:person.01114765430.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114765430.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Deyu", 
        "id": "sg:person.014023363124.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014023363124.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Qiongling", 
        "id": "sg:person.01260213047.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260213047.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neurology, Tangshan Gongren Hospital, 063000, Tangshan, China", 
          "id": "http://www.grid.ac/institutes/grid.440237.6", 
          "name": [
            "Department of Neurology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China", 
            "Department of Neurology, Tangshan Gongren Hospital, 063000, Tangshan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yuxia", 
        "id": "sg:person.01010240427.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010240427.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.24696.3f", 
          "name": [
            "Department of Radiology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Kuncheng", 
        "id": "sg:person.01326527402.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326527402.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Shuyu", 
        "id": "sg:person.01113126246.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113126246.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neurology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.24696.3f", 
          "name": [
            "Center of Alzheimer\u2019s Disease, Beijing Institute for Brain Disorders, 100053, Beijing, China", 
            "Department of Neurology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Ying", 
        "id": "sg:person.015407776627.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015407776627.31"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nm747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002915711", 
          "https://doi.org/10.1038/nm747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/tp.2012.51", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004720772", 
          "https://doi.org/10.1038/tp.2012.51"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00691853", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023089702", 
          "https://doi.org/10.1007/bf00691853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00415-002-0861-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018759095", 
          "https://doi.org/10.1007/s00415-002-0861-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00296114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012345056", 
          "https://doi.org/10.1007/bf00296114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00500919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036926593", 
          "https://doi.org/10.1007/bf00500919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/b138576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011048986", 
          "https://doi.org/10.1007/b138576"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-02-15", 
    "datePublishedReg": "2016-02-15", 
    "description": "Memory impairment is a typical characteristic of patients with subcortical vascular mild cognitive impairment (svMCI) or with amnestic mild cognitive impairment (aMCI). The hippocampus, which plays an important role in the consolidation of information from short-term memory to long-term memory, is a heterogeneous structure that consists of several anatomically and functionally distinct subfields. However, whether distinct hippocampal subfields are differentially and selectively affected by svMCI pathology and whether these abnormal changes in hippocampal subfields are different between svMCI and aMCI patients are largely unknown. A total of 26 svMCI patients, 26 aMCI patients and 26 healthy controls matched according to age, gender and years of education were enrolled in this study. We utilized an automated hippocampal subfield segmentation method provided by FreeSurfer to estimate the volume of several hippocampal subfields, including the cornu ammonis (CA) areas, the dentate gyrus (DG), the subiculum and the presubiculum. Compared with controls, the left subiculum and presubiculum and the right CA4/DG displayed significant atrophy in patients with svMCI. Interestingly, we also found significant differences in the volume of the right CA1 between the svMCI and aMCI groups. Taken together, our results reveal region-specific vulnerability of hippocampal subfields to svMCI pathology and identify distinct hippocampal subfield atrophy patterns between svMCI and aMCI patients.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/srep20873", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.8339046", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.8178906", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7017673", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.8341692", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "keywords": [
      "subcortical vascular mild cognitive impairment", 
      "mild cognitive impairment", 
      "vascular mild cognitive impairment", 
      "hippocampal subfields", 
      "dentate gyrus", 
      "amnestic mild cognitive impairment", 
      "cognitive impairment", 
      "aMCI patients", 
      "CA4/dentate gyrus", 
      "cornu ammonis (CA) areas", 
      "distinct hippocampal subfields", 
      "hippocampal subfield volumetry", 
      "svMCI patients", 
      "region-specific vulnerability", 
      "hippocampal subfield segmentation methods", 
      "left subiculum", 
      "right CA1", 
      "significant atrophy", 
      "healthy controls", 
      "atrophy patterns", 
      "years of education", 
      "patients", 
      "memory impairment", 
      "subfield volumetry", 
      "impairment", 
      "abnormal changes", 
      "aMCI group", 
      "significant differences", 
      "presubiculum", 
      "subiculum", 
      "pathology", 
      "long-term memory", 
      "consolidation of information", 
      "atrophy", 
      "hippocampus", 
      "CA1", 
      "gyrus", 
      "distinct subfields", 
      "important role", 
      "volumetry", 
      "FreeSurfer", 
      "age", 
      "total", 
      "control", 
      "subfields", 
      "gender", 
      "volume", 
      "group", 
      "years", 
      "short-term memory", 
      "differences", 
      "study", 
      "role", 
      "changes", 
      "memory", 
      "typical characteristics", 
      "patterns", 
      "consolidation", 
      "vulnerability", 
      "education", 
      "area", 
      "results", 
      "characteristics", 
      "information", 
      "method", 
      "segmentation method", 
      "structure", 
      "heterogeneous structure"
    ], 
    "name": "Hippocampal subfield volumetry in patients with subcortical vascular mild cognitive impairment", 
    "pagination": "20873", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050943487"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep20873"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26876151"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep20873", 
      "https://app.dimensions.ai/details/publication/pub.1050943487"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:35", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_711.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/srep20873"
  }
]
 

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/srep20873'

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/srep20873'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep20873'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep20873'


 

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

280 TRIPLES      21 PREDICATES      116 URIs      101 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep20873 schema:about N5c9a39a2d40541bb80b78d23bdde4e7f
2 N75a2fcecaaa44d3fa1abd3761dae5864
3 N7d48a4d0cd8043c2b97a84dc6f5a7085
4 N803c772c0de241449299896b6fc93ec1
5 N87a44673b90849e0bd5068127dc5c41a
6 N960976cbf577417c843677fee8817b59
7 N9b4fabb96ce748689e4523ca78c121e6
8 Nacf987ce91a041ae84d4b49ab6942205
9 Nb07d6178a36f421d958fd1108368b2aa
10 Nb1ab7fca8e4e4fb7bdc65859a487c991
11 Nb233be3f4bd6460981d00e9eacdfe838
12 Nc0f93811e8204d4c9af1ef663b479bb1
13 Nc43cdc586405458bab70278519b8eec9
14 Ne3c3f2062829416ca2bb837bc7c32548
15 Ne42e80c0fa1440caa8b9446952ed2c8b
16 Ne91aba8477574a28baf2aefb89ad2f70
17 anzsrc-for:11
18 anzsrc-for:1109
19 schema:author N839dc087ff374fa89fc5aaa18265960c
20 schema:citation sg:pub.10.1007/b138576
21 sg:pub.10.1007/bf00296114
22 sg:pub.10.1007/bf00500919
23 sg:pub.10.1007/bf00691853
24 sg:pub.10.1007/s00415-002-0861-7
25 sg:pub.10.1038/nm747
26 sg:pub.10.1038/tp.2012.51
27 schema:datePublished 2016-02-15
28 schema:datePublishedReg 2016-02-15
29 schema:description Memory impairment is a typical characteristic of patients with subcortical vascular mild cognitive impairment (svMCI) or with amnestic mild cognitive impairment (aMCI). The hippocampus, which plays an important role in the consolidation of information from short-term memory to long-term memory, is a heterogeneous structure that consists of several anatomically and functionally distinct subfields. However, whether distinct hippocampal subfields are differentially and selectively affected by svMCI pathology and whether these abnormal changes in hippocampal subfields are different between svMCI and aMCI patients are largely unknown. A total of 26 svMCI patients, 26 aMCI patients and 26 healthy controls matched according to age, gender and years of education were enrolled in this study. We utilized an automated hippocampal subfield segmentation method provided by FreeSurfer to estimate the volume of several hippocampal subfields, including the cornu ammonis (CA) areas, the dentate gyrus (DG), the subiculum and the presubiculum. Compared with controls, the left subiculum and presubiculum and the right CA4/DG displayed significant atrophy in patients with svMCI. Interestingly, we also found significant differences in the volume of the right CA1 between the svMCI and aMCI groups. Taken together, our results reveal region-specific vulnerability of hippocampal subfields to svMCI pathology and identify distinct hippocampal subfield atrophy patterns between svMCI and aMCI patients.
30 schema:genre article
31 schema:isAccessibleForFree true
32 schema:isPartOf N43b2a6f0df1c453b9368bd0271aebce3
33 Nee2510bb678842dabda7c24315e2059b
34 sg:journal.1045337
35 schema:keywords CA1
36 CA4/dentate gyrus
37 FreeSurfer
38 aMCI group
39 aMCI patients
40 abnormal changes
41 age
42 amnestic mild cognitive impairment
43 area
44 atrophy
45 atrophy patterns
46 changes
47 characteristics
48 cognitive impairment
49 consolidation
50 consolidation of information
51 control
52 cornu ammonis (CA) areas
53 dentate gyrus
54 differences
55 distinct hippocampal subfields
56 distinct subfields
57 education
58 gender
59 group
60 gyrus
61 healthy controls
62 heterogeneous structure
63 hippocampal subfield segmentation methods
64 hippocampal subfield volumetry
65 hippocampal subfields
66 hippocampus
67 impairment
68 important role
69 information
70 left subiculum
71 long-term memory
72 memory
73 memory impairment
74 method
75 mild cognitive impairment
76 pathology
77 patients
78 patterns
79 presubiculum
80 region-specific vulnerability
81 results
82 right CA1
83 role
84 segmentation method
85 short-term memory
86 significant atrophy
87 significant differences
88 structure
89 study
90 subcortical vascular mild cognitive impairment
91 subfield volumetry
92 subfields
93 subiculum
94 svMCI patients
95 total
96 typical characteristics
97 vascular mild cognitive impairment
98 volume
99 volumetry
100 vulnerability
101 years
102 years of education
103 schema:name Hippocampal subfield volumetry in patients with subcortical vascular mild cognitive impairment
104 schema:pagination 20873
105 schema:productId N4a84923d6cd24ee593587260fc5a50f2
106 Nc6e7d839fa7040279d78d0d1958a812e
107 Ne7065217a22f45489087ad40411340a7
108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050943487
109 https://doi.org/10.1038/srep20873
110 schema:sdDatePublished 2022-12-01T06:35
111 schema:sdLicense https://scigraph.springernature.com/explorer/license/
112 schema:sdPublisher Nb0386d614a5e421a88ba6fe1d7983ad1
113 schema:url https://doi.org/10.1038/srep20873
114 sgo:license sg:explorer/license/
115 sgo:sdDataset articles
116 rdf:type schema:ScholarlyArticle
117 N0c569c73401a44ca936f7df590749082 rdf:first sg:person.01326527402.59
118 rdf:rest Nb3f4723666794900bc190bdfc51fefde
119 N1b69687400ee426d986e2b65e4f99c36 rdf:first sg:person.014023363124.72
120 rdf:rest Nfa27d822133748cf9739fc1c36c7e9fd
121 N43b2a6f0df1c453b9368bd0271aebce3 schema:volumeNumber 6
122 rdf:type schema:PublicationVolume
123 N47dd6fa08e0d452da23b412599950dbe rdf:first sg:person.01010240427.04
124 rdf:rest N0c569c73401a44ca936f7df590749082
125 N4a84923d6cd24ee593587260fc5a50f2 schema:name pubmed_id
126 schema:value 26876151
127 rdf:type schema:PropertyValue
128 N5c9a39a2d40541bb80b78d23bdde4e7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Humans
130 rdf:type schema:DefinedTerm
131 N75a2fcecaaa44d3fa1abd3761dae5864 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Female
133 rdf:type schema:DefinedTerm
134 N7d48a4d0cd8043c2b97a84dc6f5a7085 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Male
136 rdf:type schema:DefinedTerm
137 N803c772c0de241449299896b6fc93ec1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Brain Mapping
139 rdf:type schema:DefinedTerm
140 N839dc087ff374fa89fc5aaa18265960c rdf:first sg:person.01114765430.76
141 rdf:rest N1b69687400ee426d986e2b65e4f99c36
142 N87a44673b90849e0bd5068127dc5c41a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name CA1 Region, Hippocampal
144 rdf:type schema:DefinedTerm
145 N960976cbf577417c843677fee8817b59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Memory, Long-Term
147 rdf:type schema:DefinedTerm
148 N9b4fabb96ce748689e4523ca78c121e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Magnetic Resonance Imaging
150 rdf:type schema:DefinedTerm
151 Nacf987ce91a041ae84d4b49ab6942205 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Memory, Short-Term
153 rdf:type schema:DefinedTerm
154 Nb0386d614a5e421a88ba6fe1d7983ad1 schema:name Springer Nature - SN SciGraph project
155 rdf:type schema:Organization
156 Nb07d6178a36f421d958fd1108368b2aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Cognitive Dysfunction
158 rdf:type schema:DefinedTerm
159 Nb1ab7fca8e4e4fb7bdc65859a487c991 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Middle Aged
161 rdf:type schema:DefinedTerm
162 Nb233be3f4bd6460981d00e9eacdfe838 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Case-Control Studies
164 rdf:type schema:DefinedTerm
165 Nb3f4723666794900bc190bdfc51fefde rdf:first sg:person.01113126246.16
166 rdf:rest Nea0bc47659734c8cb8adf6490c72b7cb
167 Nc0f93811e8204d4c9af1ef663b479bb1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Dentate Gyrus
169 rdf:type schema:DefinedTerm
170 Nc43cdc586405458bab70278519b8eec9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Image Enhancement
172 rdf:type schema:DefinedTerm
173 Nc6e7d839fa7040279d78d0d1958a812e schema:name dimensions_id
174 schema:value pub.1050943487
175 rdf:type schema:PropertyValue
176 Ne3c3f2062829416ca2bb837bc7c32548 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Adult
178 rdf:type schema:DefinedTerm
179 Ne42e80c0fa1440caa8b9446952ed2c8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Atrophy
181 rdf:type schema:DefinedTerm
182 Ne7065217a22f45489087ad40411340a7 schema:name doi
183 schema:value 10.1038/srep20873
184 rdf:type schema:PropertyValue
185 Ne91aba8477574a28baf2aefb89ad2f70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Aged
187 rdf:type schema:DefinedTerm
188 Nea0bc47659734c8cb8adf6490c72b7cb rdf:first sg:person.015407776627.31
189 rdf:rest rdf:nil
190 Nee2510bb678842dabda7c24315e2059b schema:issueNumber 1
191 rdf:type schema:PublicationIssue
192 Nfa27d822133748cf9739fc1c36c7e9fd rdf:first sg:person.01260213047.31
193 rdf:rest N47dd6fa08e0d452da23b412599950dbe
194 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
195 schema:name Medical and Health Sciences
196 rdf:type schema:DefinedTerm
197 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
198 schema:name Neurosciences
199 rdf:type schema:DefinedTerm
200 sg:grant.7017673 http://pending.schema.org/fundedItem sg:pub.10.1038/srep20873
201 rdf:type schema:MonetaryGrant
202 sg:grant.8178906 http://pending.schema.org/fundedItem sg:pub.10.1038/srep20873
203 rdf:type schema:MonetaryGrant
204 sg:grant.8339046 http://pending.schema.org/fundedItem sg:pub.10.1038/srep20873
205 rdf:type schema:MonetaryGrant
206 sg:grant.8341692 http://pending.schema.org/fundedItem sg:pub.10.1038/srep20873
207 rdf:type schema:MonetaryGrant
208 sg:journal.1045337 schema:issn 2045-2322
209 schema:name Scientific Reports
210 schema:publisher Springer Nature
211 rdf:type schema:Periodical
212 sg:person.01010240427.04 schema:affiliation grid-institutes:grid.440237.6
213 schema:familyName Li
214 schema:givenName Yuxia
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010240427.04
216 rdf:type schema:Person
217 sg:person.01113126246.16 schema:affiliation grid-institutes:grid.64939.31
218 schema:familyName Li
219 schema:givenName Shuyu
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113126246.16
221 rdf:type schema:Person
222 sg:person.01114765430.76 schema:affiliation grid-institutes:grid.64939.31
223 schema:familyName Li
224 schema:givenName Xinwei
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114765430.76
226 rdf:type schema:Person
227 sg:person.01260213047.31 schema:affiliation grid-institutes:grid.64939.31
228 schema:familyName Li
229 schema:givenName Qiongling
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260213047.31
231 rdf:type schema:Person
232 sg:person.01326527402.59 schema:affiliation grid-institutes:grid.24696.3f
233 schema:familyName Li
234 schema:givenName Kuncheng
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326527402.59
236 rdf:type schema:Person
237 sg:person.014023363124.72 schema:affiliation grid-institutes:grid.64939.31
238 schema:familyName Li
239 schema:givenName Deyu
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014023363124.72
241 rdf:type schema:Person
242 sg:person.015407776627.31 schema:affiliation grid-institutes:grid.24696.3f
243 schema:familyName Han
244 schema:givenName Ying
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015407776627.31
246 rdf:type schema:Person
247 sg:pub.10.1007/b138576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011048986
248 https://doi.org/10.1007/b138576
249 rdf:type schema:CreativeWork
250 sg:pub.10.1007/bf00296114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012345056
251 https://doi.org/10.1007/bf00296114
252 rdf:type schema:CreativeWork
253 sg:pub.10.1007/bf00500919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036926593
254 https://doi.org/10.1007/bf00500919
255 rdf:type schema:CreativeWork
256 sg:pub.10.1007/bf00691853 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023089702
257 https://doi.org/10.1007/bf00691853
258 rdf:type schema:CreativeWork
259 sg:pub.10.1007/s00415-002-0861-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018759095
260 https://doi.org/10.1007/s00415-002-0861-7
261 rdf:type schema:CreativeWork
262 sg:pub.10.1038/nm747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002915711
263 https://doi.org/10.1038/nm747
264 rdf:type schema:CreativeWork
265 sg:pub.10.1038/tp.2012.51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004720772
266 https://doi.org/10.1038/tp.2012.51
267 rdf:type schema:CreativeWork
268 grid-institutes:grid.24696.3f schema:alternateName Department of Neurology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China
269 Department of Radiology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China
270 schema:name Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, 100053, Beijing, China
271 Department of Neurology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China
272 Department of Radiology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China
273 rdf:type schema:Organization
274 grid-institutes:grid.440237.6 schema:alternateName Department of Neurology, Tangshan Gongren Hospital, 063000, Tangshan, China
275 schema:name Department of Neurology, Tangshan Gongren Hospital, 063000, Tangshan, China
276 Department of Neurology, Xuan Wu Hospital, Capital Medical University, 100053, Beijing, China
277 rdf:type schema:Organization
278 grid-institutes:grid.64939.31 schema:alternateName Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China
279 schema:name Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, 100191, Beijing, China
280 rdf:type schema:Organization
 




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


...