Disease Prediction in the At-Risk Mental State for Psychosis Using Neuroanatomical Biomarkers: Results From the FePsy Study

Background: Reliable prognostic biomarkers are needed for the early recognition of psychosis. Recently, multivariate machine learning methods have demonstrated the feasibility to predict illness onset in clinically defined at-risk individuals using structural magnetic resonance imaging (MRI) data. H...

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Bibliographische Detailangaben
Hauptverfasser: Koutsouleris, Nikolaos, Borgwardt, Stefan, Meisenzahl, Eva M., Bottlender, Ronald, Möller, Hans-Jürgen, Riecher-Rössler, Anita
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2012
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Regular Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3494048/
https://ncbi.nlm.nih.gov/pubmed/22080496
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/schbul/sbr145
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