Hauptseite > Publikationsdatenbank > Brain‐based ranking of cognitive domains to predict schizophrenia > print |
001 | 864112 | ||
005 | 20210130002433.0 | ||
024 | 7 | _ | |a 10.1002/hbm.24716 |2 doi |
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024 | 7 | _ | |a 1097-0193 |2 ISSN |
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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) |
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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. |
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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 |
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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 |
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