Classifying individuals at high-risk for psychosis based on functional brain activity during working memory processing

Classifying individuals at high-risk for psychosis based on functional brain activity during working memory processing

The psychosis high-risk state is accompanied by alterations in functional brain activity during working memory processing. We used binary automatic pattern-classification to discriminate between the at-risk mental state (ARMS), first episode psychosis (FEP) and healthy controls (HCs) based on n-back...

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Bibliographic Details
Main Authors: Kerstin Bendfeldt, Renata Smieskova, Nikolaos Koutsouleris, Stefan Klöppel, André Schmidt, Anna Walter, Fabienne Harrisberger, Johannes Wrege, Andor Simon, Bernd Taschler, Thomas Nichols, Anita Riecher-Rössler, Undine E. Lang, Ernst-Wilhelm Radue, Stefan Borgwardt
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:NeuroImage: Clinical
Subjects:
Working memory
Classification
Machine learning
Magnetic resonance imaging
Schizophrenia
Risk factors
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158215001758

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http://www.sciencedirect.com/science/article/pii/S2213158215001758

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