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AuthorStefan, Sabinadc.contributor.author
AuthorSchorr, Barbaradc.contributor.author
AuthorLopez-Rolon, Alexdc.contributor.author
AuthorKolassa, Iris-Tatjanadc.contributor.author
AuthorShock, Jonathan P.dc.contributor.author
AuthorRosenfelder, Martindc.contributor.author
AuthorHeck, Suzettedc.contributor.author
AuthorBender, Andreasdc.contributor.author
Date of accession2019-05-07T11:13:29Zdc.date.accessioned
Available in OPARU since2019-05-07T11:13:29Zdc.date.available
Date of first publication2018dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordQuantitative EEGdc.subject
KeywordUnresponsive wakefulness syndromedc.subject
KeywordMinimally conscious statedc.subject
KeywordOutcome predictiondc.subject
KeywordMicrostate analysisdc.subject
KeywordSequential floating forward selectiondc.subject
Keywordunresponsive wakefulnessdc.subject
Keywordapproximate entropydc.subject
Keywordbrain-injurydc.subject
Keywordnrem sleepdc.subject
Keywordcomadc.subject
Keywordsegmentationdc.subject
Keywordconnectivitydc.subject
Keywordcoherencedc.subject
Keywordseriesdc.subject
Dewey Decimal GroupDDC 150 / Psychologydc.subject.ddc
TitleConsciousness Indexing and Outcome Prediction with Resting-State EEG in Severe Disorders of Consciousnessdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Psychologie und Pädagogikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1007/s10548-018-0643-xdc.identifier.doiExternal
Source - Title of sourceBrain Topographysource.title
Source - Place of publicationSpringersource.publisher
Source - Volume31source.volume
Source - Issue5source.issue
Source - Year2018source.year
Source - From page848source.fromPage
Source - To page862source.toPage
Source - ISSN0896-0267source.identifier.issn
Source - eISSN1573-6792source.identifier.eissn
FundingHannelore-Kohl-Stiftung [2011013]uulm.funding
FundingDeutsche Stiftung Neurologieuulm.funding
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000440763900010uulm.identifier.wos


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