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

Bendfeldt, Kerstin and Smieskova, Renata and Koutsouleris, Nikolaos and Klöppel, Stefan and Schmidt, André and Walter, Anna and Harrisberger, Fabienne and Wrege, Johannes and Simon, Andor and Taschler, Bernd and Nichols, Thomas and Riecher-Rössler, Anita and Lang, Undine E. and Radue, Ernst-Wilhelm and Borgwardt, Stefan. (2015) Classifying individuals at high-risk for psychosis based on functional brain activity during working memory processing. NeuroImage: Clinical, 9. pp. 555-563.

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Abstract

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 WM-induced brain activity. Linear support vector machines and leave-one-out-cross-validation were applied to fMRI data of matched ARMS, FEP and HC (19 subjects/group). The HC and ARMS were correctly classified, with an accuracy of 76.2% (sensitivity 89.5%, specificity 63.2%, p = 0.01) using a verbal working memory network mask. Only 50% and 47.4% of individuals were classified correctly for HC vs. FEP (p = 0.46) or ARMS vs. FEP (p = 0.62), respectively. Without mask, accuracy was 65.8% for HC vs. ARMS (p = 0.03) and 65.8% for HC vs. FEP (p = 0.0047), and 57.9% for ARMS vs. FEP (p = 0.18). Regions in the medial frontal, paracingulate, cingulate, inferior frontal and superior frontal gyri, inferior and superior parietal lobules, and precuneus were particularly important for group separation. These results suggest that FEP and HC or FEP and ARMS cannot be accurately separated in small samples under these conditions. However, ARMS can be identified with very high sensitivity in comparison to HC. This might aid classification and help to predict transition in the ARMS.
Faculties and Departments:03 Faculty of Medicine > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Erwachsenenpsychiatrie (Riecher-Rössler)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Erwachsenenpsychiatrie (Riecher-Rössler)
UniBasel Contributors:Riecher-Rössler, Anita
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
e-ISSN:2213-1582
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
Last Modified:25 Jun 2019 12:09
Deposited On:27 Aug 2018 13:10

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