Supervised, Multivariate, Whole-brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research

Supervised, Multivariate, Whole-brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research

We examined how penalized linear discriminant analysis with resampling, which is a supervised, multivariate, whole-brain reduction technique, can help schizophrenia diagnostics and research. In an experiment with magnetic resonance brain images of 52 first-episode schizophrenia patients and 52 healt...

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Bibliographic Details
Main Authors: Eva Janousova, Giovanni Montana, Tomas Kasparek, Daniel Schwarz
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-08-01
Series:Frontiers in Neuroscience
Subjects:
Classification
Magnetic Resonance Imaging
Schizophrenia
Computational Neuroanatomy
pattern recognition
Support Vector Machines
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00392/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00392/full

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