3 results match your criteria: "Faculty of Medicine and Faculty Hospital Brno-Bohunice[Affiliation]"

Recent techniques of image analysis brought the possibility to recognize subjects based on discriminative image features. We performed a magnetic resonance imaging (MRI)-based classification study to assess its usefulness for outcome prediction of first-episode schizophrenia patients (FES). We included 39 FES patients and 39 healthy controls (HC) and performed the maximum-uncertainty linear discrimination analysis (MLDA) of MRI brain intensity images.

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Unlabelled: Schizophrenia is a condition with a highly variable course that is hard to predict. The aim of the present study was to investigate if local gray matter volume (GMV) can differentiate poor (PF) and good (GF) functioning patients using voxel-wise analysis in a group of first-episode schizophrenia subjects (FES).

Method: 32 FES male patients were assessed twice: at the time of the first episode of schizophrenia and one year later.

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Prefrontal but not temporal grey matter changes in males with first-episode schizophrenia.

Prog Neuropsychopharmacol Biol Psychiatry

January 2007

Department of Psychiatry, Masaryk University, Faculty of Medicine and Faculty Hospital Brno-Bohunice, Jihlavska 20, 625 00, Brno, the Czech Republic.

Introduction: Changes of brain morphology are now considered as a part of the pathology of schizophrenia. Voxel-based morphometry may be used to study regional changes of the grey matter in the whole brain. It is advantageous to study first-episode patients to prevent the influence of many possible biasing factors when trying to identify primary pathological processes underlying the manifestation of the illness.

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