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000864112 1001_ $$00000-0002-7444-7679$$aKarrer, Teresa M.$$b0
000864112 245__ $$aBrain‐based ranking of cognitive domains to predict schizophrenia
000864112 260__ $$aNew York, NY$$bWiley-Liss$$c2019
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000864112 500__ $$aDeutsche 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
000864112 520__ $$aSchizophrenia is a devastating brain disorder that disturbs sensory perception, motoraction, and abstract thought. Its clinical phenotype implies dysfunction of variousmental domains, which has motivated a series of theories regarding the underlyingpathophysiology. Aiming at a predictive benchmark of a catalog of cognitive functions,we developed a data-driven machine-learning strategy and provide a proof ofprinciple in a multisite clinical dataset (n = 324). Existing neuroscientific knowledge ondiverse cognitive domains was first condensed into neurotopographical maps. Wethen examined how the ensuing meta-analytic cognitive priors can distinguishpatients and controls using brain morphology and intrinsic functional connectivity.Some affected cognitive domains supported well-studied directions of research onauditory evaluation and social cognition. However, rarely suspected cognitivedomains also emerged as disease relevant, including self-oriented processing of bodilysensations in gustation and pain. Such algorithmic charting of the cognitive landscapecan be used to make targeted recommendations for future mental health research.
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000864112 7001_ $$00000-0002-6183-4493$$aBassett, Danielle S.$$b1
000864112 7001_ $$0P:(DE-HGF)0$$aDerntl, Birgit$$b2
000864112 7001_ $$0P:(DE-HGF)0$$aGruber, Oliver$$b3
000864112 7001_ $$0P:(DE-HGF)0$$aAleman, André$$b4
000864112 7001_ $$0P:(DE-HGF)0$$aJardri, Renaud$$b5
000864112 7001_ $$0P:(DE-HGF)0$$aLaird, Angela R.$$b6
000864112 7001_ $$0P:(DE-HGF)0$$aFox, Peter T.$$b7
000864112 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b8
000864112 7001_ $$0P:(DE-HGF)0$$aGrisel, Olivier$$b9
000864112 7001_ $$0P:(DE-HGF)0$$aVaroquaux, Gaël$$b10
000864112 7001_ $$00000-0001-5018-7895$$aThirion, Bertrand$$b11
000864112 7001_ $$0P:(DE-Juel1)136848$$aBzdok, Danilo$$b12$$eCorresponding author
000864112 773__ $$0PERI:(DE-600)1492703-2$$a10.1002/hbm.24716$$gp. hbm.24716$$n15$$p4487-4507$$tHuman brain mapping$$v40$$x1097-0193$$y2019
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000864112 8564_ $$uhttps://juser.fz-juelich.de/record/864112/files/scz_ranking_HBM_r_v4_clean.pdf$$yPublished on 2019-07-16. Available in OpenAccess from 2020-07-16.
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