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- Title
Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition.
- Authors
Koutsouleris, Nikolaos; Meisenzahl, Eva M; Davatzikos, Christos; Bottlender, Ronald; Frodl, Thomas; Scheuerecker, Johanna; Schmitt, Gisela; Zetzsche, Thomas; Decker, Petra; Reiser, Maximilian; Möller, Hans-Jürgen; Gaser, Christian
- Abstract
Identification of individuals at high risk of developing psychosis has relied on prodromal symptomatology. Recently, machine learning algorithms have been successfully used for magnetic resonance imaging-based diagnostic classification of neuropsychiatric patient populations.
- Publication
Archives of general psychiatry, 2009, Vol 66, Issue 7, p700
- ISSN
1538-3636
- Publication type
Journal Article
- DOI
10.1001/archgenpsychiatry.2009.62