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  • Author: Nejad, Ayna B.

    Copenhagen University Hospital, Denmark

  • Author: Madsen, Kristoffer H.

    Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, 2800, Lyngby, Denmark

  • Author: Ebdrup, Bjørn H.

    Copenhagen University Hospital, Denmark

  • Author: Siebner, Hartwig Roman

    Copenhagen University Hospital, Denmark

  • Author: Rasmussen, Hans

    Copenhagen University Hospital, Denmark

  • Author: Aggernæs, Bodil

    Copenhagen University Hospital, Denmark

  • Author: Glenthøj, Birte Y.

    Copenhagen University Hospital, Denmark

  • Author: Baaré, William Frans Christiaan

    Copenhagen University Hospital, Denmark

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Since working memory deficits in schizophrenia have been linked to negative symptoms, we tested whether features of the one could predict the treatment outcome in the other. Specifically, we hypothesized that working memory-related functional connectivity at pre-treatment can predict improvement of negative symptoms in antipsychotic-treated patients. Fourteen antipsychotic-naive patients with first-episode schizophrenia were clinically assessed before and after 7 months of quetiapine monotherapy. At baseline, patients underwent functional magnetic resonance imaging while performing a verbal n-back task. Spatial independent component analysis identified task-modulated brain networks. A linear support vector machine was trained with these components to discriminate six patients who showed improvement in negative symptoms from eight non-improvers. Classification accuracy and significance was estimated by leave-one-out cross-validation and permutation tests, respectively. Two frontoparietal and one default mode network components predicted negative symptom improvement with a classification accuracy of 79% (p = 0.003). Discriminating features were found in the frontoparietal networks but not the default mode network. These preliminary data suggest that functional patterns at baseline can predict negative symptom treatment–response in schizophrenia. This information may be used to stratify patients into subgroups thereby facilitating personalized treatment.
Original languageEnglish
JournalInternational Journal of Neuropsychopharmacology
Volume16
Issue number6
Pages (from-to)1195-1204
ISSN1461-1457
DOIs
StatePublished - 2013
CitationsWeb of Science® Times Cited: 15

    Keywords

  • Antipsychotic drugs, Functional connectivity, Multivariate classification analysis, Negative symptoms, Schizophrenia
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