001     864112
005     20210130002433.0
024 7 _ |a 10.1002/hbm.24716
|2 doi
024 7 _ |a 1065-9471
|2 ISSN
024 7 _ |a 1097-0193
|2 ISSN
024 7 _ |a altmetric:63665465
|2 altmetric
024 7 _ |a pmid:31313451
|2 pmid
024 7 _ |a WOS:000476081600001
|2 WOS
024 7 _ |a 2128/23670
|2 Handle
037 _ _ |a FZJ-2019-04012
082 _ _ |a 610
100 1 _ |a Karrer, Teresa M.
|0 0000-0002-7444-7679
|b 0
245 _ _ |a Brain‐based ranking of cognitive domains to predict schizophrenia
260 _ _ |a New York, NY
|c 2019
|b Wiley-Liss
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1568039259_22201
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a Deutsche Forschungsgemeinschaft, Grant/Award Numbers: BZ2/2-1, BZ2/3-1, BZ2/4-1;Paul Allen Foundation; John D. and CatherineT. MacArthur Foundation; Alfred P. SloanFoundation; ISI Foundation; ExploratoryResearch Space, Grant/Award Number:OPSF449; START-Program of the Faculty ofMedicine, Grant/Award Number: 126/16;Amazon AWS Research Grant; InternationalResearch Training Group, Grant/AwardNumber: IRTG2150
520 _ _ |a Schizophrenia is a devastating brain disorder that disturbs sensory perception, motoraction, and abstract thought. Its clinical phenotype implies dysfunction of variousmental domains, which has motivated a series of theories regarding the underlyingpathophysiology. Aiming at a predictive benchmark of a catalog of cognitive functions,we developed a data-driven machine-learning strategy and provide a proof ofprinciple in a multisite clinical dataset (n = 324). Existing neuroscientific knowledge ondiverse cognitive domains was first condensed into neurotopographical maps. Wethen examined how the ensuing meta-analytic cognitive priors can distinguishpatients and controls using brain morphology and intrinsic functional connectivity.Some affected cognitive domains supported well-studied directions of research onauditory evaluation and social cognition. However, rarely suspected cognitivedomains also emerged as disease relevant, including self-oriented processing of bodilysensations in gustation and pain. Such algorithmic charting of the cognitive landscapecan be used to make targeted recommendations for future mental health research.
536 _ _ |a 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Bassett, Danielle S.
|0 0000-0002-6183-4493
|b 1
700 1 _ |a Derntl, Birgit
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Gruber, Oliver
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Aleman, André
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Jardri, Renaud
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Laird, Angela R.
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Fox, Peter T.
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 8
700 1 _ |a Grisel, Olivier
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Varoquaux, Gaël
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Thirion, Bertrand
|0 0000-0001-5018-7895
|b 11
700 1 _ |a Bzdok, Danilo
|0 P:(DE-Juel1)136848
|b 12
|e Corresponding author
773 _ _ |a 10.1002/hbm.24716
|g p. hbm.24716
|0 PERI:(DE-600)1492703-2
|n 15
|p 4487-4507
|t Human brain mapping
|v 40
|y 2019
|x 1097-0193
856 4 _ |u https://juser.fz-juelich.de/record/864112/files/Karrer_et_al-2019-Human_Brain_Mapping-1.pdf
|y Restricted
856 4 _ |x pdfa
|u https://juser.fz-juelich.de/record/864112/files/Karrer_et_al-2019-Human_Brain_Mapping-1.pdf?subformat=pdfa
|y Restricted
856 4 _ |y Published on 2019-07-16. Available in OpenAccess from 2020-07-16.
|u https://juser.fz-juelich.de/record/864112/files/scz_ranking_HBM_r_v4_clean.pdf
856 4 _ |y Published on 2019-07-16. Available in OpenAccess from 2020-07-16.
|x pdfa
|u https://juser.fz-juelich.de/record/864112/files/scz_ranking_HBM_r_v4_clean.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:864112
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)131678
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|2 G:(DE-HGF)POF3-500
|v (Dys-)function and Plasticity
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2019
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b HUM BRAIN MAPP : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21