Classification of first-episode schizophrenia patients and healthy subjects by automated MRI measures of regional brain volume and cortical thickness.
作者： Yoichiro Takayanagi , Tsutomu Takahashi , Lina Orikabe , Yuriko Mozue , Yasuhiro Kawasaki
DOI: 10.1371/JOURNAL.PONE.0021047
关键词: Radiology 、 Magnetic resonance imaging 、 Brain mapping 、 Amygdala 、 Central nervous system 、 Pathology 、 Neuroimaging 、 Text mining 、 Lateralization of brain function 、 Brain size 、 Biology
摘要: Background Although structural magnetic resonance imaging (MRI) studies have repeatedly demonstrated regional brain abnormalities in patients with schizophrenia, relatively few MRI-based attempted to distinguish between first-episode schizophrenia and healthy controls. Method Three-dimensional MR images were acquired from 52 (29 males, 23 females) 40 (22 18 subjects. Multiple measures (regional volume cortical thickness) calculated by a fully automated procedure used for group comparison classification linear discriminant function analysis. Results Schizophrenia showed gray matter reductions thinning various regions predominantly prefrontal temporal cortices compared controls. The classifiers obtained 66 subjects of the first successfully assigned 26 second accuracy above 80%. Conclusion Our results that combinations differentiated Such neuroimaging approaches may provide objective biological information adjunct clinical diagnosis early schizophrenia.
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