TY  - JOUR
AU  - Karrer, Teresa M.
AU  - Bassett, Danielle S.
AU  - Derntl, Birgit
AU  - Gruber, Oliver
AU  - Aleman, André
AU  - Jardri, Renaud
AU  - Laird, Angela R.
AU  - Fox, Peter T.
AU  - Eickhoff, Simon
AU  - Grisel, Olivier
AU  - Varoquaux, Gaël
AU  - Thirion, Bertrand
AU  - Bzdok, Danilo
TI  - Brain‐based ranking of cognitive domains to predict schizophrenia
JO  - Human brain mapping
VL  - 40
IS  - 15
SN  - 1097-0193
CY  - New York, NY
PB  - Wiley-Liss
M1  - FZJ-2019-04012
SP  - 4487-4507
PY  - 2019
N1  - 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
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:31313451
UR  - <Go to ISI:>//WOS:000476081600001
DO  - DOI:10.1002/hbm.24716
UR  - https://juser.fz-juelich.de/record/864112
ER  -