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Behavioural Neurology
Volume 2016 (2016), Article ID 7849526, 11 pages
Research Article

A Correlative Classification Study of Schizophrenic Patients with Results of Clinical Evaluation and Structural Magnetic Resonance Images

1Institute of Biomedical Engineering, National Cheng Kung University, Tainan 701, Taiwan
2Department of Psychiatry, Taichung Veterans General Hospital, Chiayi Branch, Chiayi 600, Taiwan
3Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, Taiwan

Received 6 April 2016; Revised 29 August 2016; Accepted 20 September 2016

Academic Editor: Camillo Marra

Copyright © 2016 Wen-Lin Chu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Patients with schizophrenia suffer from symptoms such as hallucination and delusion. There are currently a number of publications that discuss the treatment, diagnosis, prognosis, and damage in schizophrenia. This study utilized joint independent component analysis to process the images of GMV and WMV and incorporated the Wisconsin card sorting test (WCST) and the positive and negative syndrome scale (PANSS) to examine the correlation of obtained brain characteristics. We also used PANSS score to classify schizophrenic patients into acute and subacute cases, to analyze the brain structure differences. Finally, we used brain structure images and the error rate of the WCST as eigenvalues in support vector machine learning and classification. The results of this study showed that the frontal and temporal lobes of a normal brain are more apparent than those of a schizophrenia brain. The highest level of classification recognition reached 91.575%, indicating that the WCST error rate and characteristic changes in brain structure volume can be used to effectively distinguish schizophrenia and normal brains. Similarly, this result confirmed that the WCST and brain structure volume are correlated with the differences between schizophrenia and normal participants.