Probability mapping: Power and coherence analyses of cognitive processes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1988-09

AUTHORS

P. Rappelsberger, H. Petsche

ABSTRACT

In recent years different mapping techniques have proved to be an efficient means in studying cognitive processes. Our approach is based on recordings with 19 EEG channels and the computation of spectral parameters. Power and coherence values are obtained from the EEG of control recordings and recordings during the performance of cognitive tasks and are compared for significant differences. The statistical procedures used yield descriptive error probabilities for the rejection of the null hypothesis which are mapped either colour coded or by black and white squares. The usefulness of this method is demonstrated on a mental cube rotation study involving 31 students, 13 males and 18 females. One essential result during the performance of this test is an increase of theta power only in females. As far as local coherence and the theta band are concerned, males show increased values right parietally and right temporo-occipitally; opposed to this, in females the left hemisphere is more affected. In the beta bands, local coherence increases in males right parietally and left temporo-occipitally. Contrary to this, in females the parietal increase of local coherence is more accentuated in the left hemisphere but temporo- occipital coherence is increased in the right hemisphere. In both sexes interhemispheric parietal coherence increases during cube rotation suggesting increased functional couplings between the hemispheres. This study demonstrates that the inclusion of the coherence parameter in brain mapping furthers the detection of sex and hemispheric differences during the performance of cognitive tasks. More... »

PAGES

46-54

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf01129339

DOI

http://dx.doi.org/10.1007/bf01129339

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016598100

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/3274962


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain Mapping", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cognition", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electroencephalography", 
        "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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Probability", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Brain Research Institute of the Austrian Academy of Sciences, and Neurophysiological Institute of the University of Vienna, Waehringerstrasse 17, A-1090, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rappelsberger", 
        "givenName": "P.", 
        "id": "sg:person.0677416200.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677416200.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Brain Research Institute of the Austrian Academy of Sciences, and Neurophysiological Institute of the University of Vienna, Waehringerstrasse 17, A-1090, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Petsche", 
        "givenName": "H.", 
        "id": "sg:person.0770504456.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770504456.97"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0013-4694(85)91025-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001107480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(85)91025-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001107480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000117937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003966549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0735-7044.99.3.564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005677859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000118093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006793754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(71)90165-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007707035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(71)90165-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007707035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(75)90265-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010167781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(75)90265-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010167781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-0511(82)90027-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012053993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0028-3932(86)90013-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014478177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000118177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020072984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0028-3932(81)90010-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022234790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-72658-3_50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025058329", 
          "https://doi.org/10.1007/978-3-642-72658-3_50"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-8760(84)90044-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032175413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(51)90074-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033409248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(51)90074-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033409248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(78)90190-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035489296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(78)90190-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035489296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6123(08)62184-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035884483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0028-3932(80)90083-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036125104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(81)90221-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037022437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(81)90221-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037022437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(86)90092-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042466764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(86)90092-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042466764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/240414a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044528930", 
          "https://doi.org/10.1038/240414a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-0082(83)90014-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044693253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-0082(83)90014-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044693253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.410050402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046448867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-0511(82)90044-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051006254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(82)90024-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052774294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(82)90024-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052774294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2008-1060980", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057552486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2008-1061003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057552509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1192/bjp.130.3.260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064166761"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1988-09", 
    "datePublishedReg": "1988-09-01", 
    "description": "In recent years different mapping techniques have proved to be an efficient means in studying cognitive processes. Our approach is based on recordings with 19 EEG channels and the computation of spectral parameters. Power and coherence values are obtained from the EEG of control recordings and recordings during the performance of cognitive tasks and are compared for significant differences. The statistical procedures used yield descriptive error probabilities for the rejection of the null hypothesis which are mapped either colour coded or by black and white squares. The usefulness of this method is demonstrated on a mental cube rotation study involving 31 students, 13 males and 18 females. One essential result during the performance of this test is an increase of theta power only in females. As far as local coherence and the theta band are concerned, males show increased values right parietally and right temporo-occipitally; opposed to this, in females the left hemisphere is more affected. In the beta bands, local coherence increases in males right parietally and left temporo-occipitally. Contrary to this, in females the parietal increase of local coherence is more accentuated in the left hemisphere but temporo- occipital coherence is increased in the right hemisphere. In both sexes interhemispheric parietal coherence increases during cube rotation suggesting increased functional couplings between the hemispheres. This study demonstrates that the inclusion of the coherence parameter in brain mapping furthers the detection of sex and hemispheric differences during the performance of cognitive tasks.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf01129339", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1098975", 
        "issn": [
          "0896-0267", 
          "1573-6792"
        ], 
        "name": "Brain Topography", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "1"
      }
    ], 
    "name": "Probability mapping: Power and coherence analyses of cognitive processes", 
    "pagination": "46-54", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4f15b9b4cebd2ee96e87afc2e287bd022dded95c00a6c65e5f7fe6a5733f9b6c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "3274962"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8903034"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf01129339"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016598100"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf01129339", 
      "https://app.dimensions.ai/details/publication/pub.1016598100"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:26", 
    "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/v90/0000000370_0000000370/records_46737_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF01129339"
  }
]
 

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/bf01129339'

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/bf01129339'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01129339'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01129339'


 

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

192 TRIPLES      21 PREDICATES      64 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf01129339 schema:about N50462acc1d71496f8aa96e5e04d04718
2 N5449b589d6934c6e9065caffbe1a3499
3 N62b35e9b1422444e94ccd83a1bd13f28
4 N62b3de0195114b6e9d191500ae71194c
5 N788affae47904aa7b99416b84b849665
6 Nb9c58f16420b4558956ba6e47738b90c
7 Ncb0cb41d0fb1490fa4fc2548f32564b6
8 Nf8491724c230405397081ad7271f6116
9 Nfa2ff07cb6e4472a90082e3d937fad2d
10 anzsrc-for:17
11 anzsrc-for:1701
12 schema:author N3aa0f177349345cab0160092489e9b8b
13 schema:citation sg:pub.10.1007/978-3-642-72658-3_50
14 sg:pub.10.1038/240414a0
15 https://doi.org/10.1002/ana.410050402
16 https://doi.org/10.1016/0013-4694(51)90074-0
17 https://doi.org/10.1016/0013-4694(71)90165-9
18 https://doi.org/10.1016/0013-4694(75)90265-5
19 https://doi.org/10.1016/0013-4694(78)90190-6
20 https://doi.org/10.1016/0013-4694(81)90221-2
21 https://doi.org/10.1016/0013-4694(82)90024-4
22 https://doi.org/10.1016/0013-4694(85)91025-9
23 https://doi.org/10.1016/0013-4694(86)90092-1
24 https://doi.org/10.1016/0028-3932(80)90083-4
25 https://doi.org/10.1016/0028-3932(81)90010-5
26 https://doi.org/10.1016/0028-3932(86)90013-8
27 https://doi.org/10.1016/0167-8760(84)90044-8
28 https://doi.org/10.1016/0301-0082(83)90014-x
29 https://doi.org/10.1016/0301-0511(82)90027-8
30 https://doi.org/10.1016/0301-0511(82)90044-8
31 https://doi.org/10.1016/s0079-6123(08)62184-6
32 https://doi.org/10.1037/0735-7044.99.3.564
33 https://doi.org/10.1055/s-2008-1060980
34 https://doi.org/10.1055/s-2008-1061003
35 https://doi.org/10.1159/000117937
36 https://doi.org/10.1159/000118093
37 https://doi.org/10.1159/000118177
38 https://doi.org/10.1192/bjp.130.3.260
39 schema:datePublished 1988-09
40 schema:datePublishedReg 1988-09-01
41 schema:description In recent years different mapping techniques have proved to be an efficient means in studying cognitive processes. Our approach is based on recordings with 19 EEG channels and the computation of spectral parameters. Power and coherence values are obtained from the EEG of control recordings and recordings during the performance of cognitive tasks and are compared for significant differences. The statistical procedures used yield descriptive error probabilities for the rejection of the null hypothesis which are mapped either colour coded or by black and white squares. The usefulness of this method is demonstrated on a mental cube rotation study involving 31 students, 13 males and 18 females. One essential result during the performance of this test is an increase of theta power only in females. As far as local coherence and the theta band are concerned, males show increased values right parietally and right temporo-occipitally; opposed to this, in females the left hemisphere is more affected. In the beta bands, local coherence increases in males right parietally and left temporo-occipitally. Contrary to this, in females the parietal increase of local coherence is more accentuated in the left hemisphere but temporo- occipital coherence is increased in the right hemisphere. In both sexes interhemispheric parietal coherence increases during cube rotation suggesting increased functional couplings between the hemispheres. This study demonstrates that the inclusion of the coherence parameter in brain mapping furthers the detection of sex and hemispheric differences during the performance of cognitive tasks.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N098ab25ee7614720b4d87fa5e12ce284
46 Nc6d4551037c24f59b3fa16654c4ffb16
47 sg:journal.1098975
48 schema:name Probability mapping: Power and coherence analyses of cognitive processes
49 schema:pagination 46-54
50 schema:productId N02b8e846ca1c42248b181ce26b29a616
51 N225fb0df7cce4365bd59f569b774b3d6
52 N25e554ea64ad45558752dce7e843665f
53 Nc8ee472dcbc24e78b4f64388e20fe358
54 Ncf389bf7ec8c4e2c81d679b992104106
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016598100
56 https://doi.org/10.1007/bf01129339
57 schema:sdDatePublished 2019-04-11T13:26
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N0903b78c7620479e8380755a9128b5ef
60 schema:url http://link.springer.com/10.1007/BF01129339
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N02b8e846ca1c42248b181ce26b29a616 schema:name nlm_unique_id
65 schema:value 8903034
66 rdf:type schema:PropertyValue
67 N0903b78c7620479e8380755a9128b5ef schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N098ab25ee7614720b4d87fa5e12ce284 schema:volumeNumber 1
70 rdf:type schema:PublicationVolume
71 N171541bab7c9492ea645df7073c25ba0 rdf:first sg:person.0770504456.97
72 rdf:rest rdf:nil
73 N225fb0df7cce4365bd59f569b774b3d6 schema:name pubmed_id
74 schema:value 3274962
75 rdf:type schema:PropertyValue
76 N25e554ea64ad45558752dce7e843665f schema:name readcube_id
77 schema:value 4f15b9b4cebd2ee96e87afc2e287bd022dded95c00a6c65e5f7fe6a5733f9b6c
78 rdf:type schema:PropertyValue
79 N3aa0f177349345cab0160092489e9b8b rdf:first sg:person.0677416200.13
80 rdf:rest N171541bab7c9492ea645df7073c25ba0
81 N50462acc1d71496f8aa96e5e04d04718 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Humans
83 rdf:type schema:DefinedTerm
84 N5449b589d6934c6e9065caffbe1a3499 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Male
86 rdf:type schema:DefinedTerm
87 N62b35e9b1422444e94ccd83a1bd13f28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Brain
89 rdf:type schema:DefinedTerm
90 N62b3de0195114b6e9d191500ae71194c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Brain Mapping
92 rdf:type schema:DefinedTerm
93 N788affae47904aa7b99416b84b849665 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Electroencephalography
95 rdf:type schema:DefinedTerm
96 Nb9c58f16420b4558956ba6e47738b90c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Cognition
98 rdf:type schema:DefinedTerm
99 Nc6d4551037c24f59b3fa16654c4ffb16 schema:issueNumber 1
100 rdf:type schema:PublicationIssue
101 Nc8ee472dcbc24e78b4f64388e20fe358 schema:name dimensions_id
102 schema:value pub.1016598100
103 rdf:type schema:PropertyValue
104 Ncb0cb41d0fb1490fa4fc2548f32564b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Adult
106 rdf:type schema:DefinedTerm
107 Ncf389bf7ec8c4e2c81d679b992104106 schema:name doi
108 schema:value 10.1007/bf01129339
109 rdf:type schema:PropertyValue
110 Nf8491724c230405397081ad7271f6116 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Probability
112 rdf:type schema:DefinedTerm
113 Nfa2ff07cb6e4472a90082e3d937fad2d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Female
115 rdf:type schema:DefinedTerm
116 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
117 schema:name Psychology and Cognitive Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
120 schema:name Psychology
121 rdf:type schema:DefinedTerm
122 sg:journal.1098975 schema:issn 0896-0267
123 1573-6792
124 schema:name Brain Topography
125 rdf:type schema:Periodical
126 sg:person.0677416200.13 schema:affiliation https://www.grid.ac/institutes/grid.10420.37
127 schema:familyName Rappelsberger
128 schema:givenName P.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677416200.13
130 rdf:type schema:Person
131 sg:person.0770504456.97 schema:affiliation https://www.grid.ac/institutes/grid.10420.37
132 schema:familyName Petsche
133 schema:givenName H.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770504456.97
135 rdf:type schema:Person
136 sg:pub.10.1007/978-3-642-72658-3_50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025058329
137 https://doi.org/10.1007/978-3-642-72658-3_50
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/240414a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044528930
140 https://doi.org/10.1038/240414a0
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1002/ana.410050402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046448867
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/0013-4694(51)90074-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033409248
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/0013-4694(71)90165-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007707035
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/0013-4694(75)90265-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010167781
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/0013-4694(78)90190-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035489296
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0013-4694(81)90221-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037022437
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/0013-4694(82)90024-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052774294
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/0013-4694(85)91025-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001107480
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/0013-4694(86)90092-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042466764
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/0028-3932(80)90083-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036125104
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/0028-3932(81)90010-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022234790
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/0028-3932(86)90013-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014478177
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/0167-8760(84)90044-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032175413
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/0301-0082(83)90014-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044693253
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/0301-0511(82)90027-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012053993
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/0301-0511(82)90044-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051006254
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/s0079-6123(08)62184-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035884483
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1037/0735-7044.99.3.564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005677859
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1055/s-2008-1060980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057552486
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1055/s-2008-1061003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057552509
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1159/000117937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003966549
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1159/000118093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006793754
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1159/000118177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020072984
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1192/bjp.130.3.260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064166761
189 rdf:type schema:CreativeWork
190 https://www.grid.ac/institutes/grid.10420.37 schema:alternateName University of Vienna
191 schema:name Brain Research Institute of the Austrian Academy of Sciences, and Neurophysiological Institute of the University of Vienna, Waehringerstrasse 17, A-1090, Vienna, Austria
192 rdf:type schema:Organization
 




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


...