DocumentCode
3133834
Title
A study of schizophrenia inheritance through pattern classification
Author
Liu, Meijie ; Wang, Lubin ; Shen, Hui ; Liu, Zhening ; Hu, Dewen
Author_Institution
Coll. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Volume
1
fYear
2011
fDate
25-28 July 2011
Firstpage
152
Lastpage
156
Abstract
In the present study, functional connectivities throughout the whole brain were examined in schizophrenic patients (Sch), their healthy siblings (HS) and healthy controls (HC) using resting-state functional magnetic resonance imaging. One-against-one classifications using PCA + nonlinear SVM were then employed between the three groups using the functional connections as original features, resulting in 78.26% classification accuracy between HC and Sch, 73.47% classification accuracy between Sch and HS, and 63.83% between HC and HS, which were proven effective through 10000 times permutation test. The results have given the evidence that the healthy siblings of schizophrenic patients showed higher risk for developing schizophrenia than healthy controls to some extent from the aspect of classification, reflecting the inheritance of schizophrenia.
Keywords
biomedical MRI; image classification; medical image processing; neurophysiology; principal component analysis; support vector machines; PCA; brain functional connectivity; healthy controls; healthy siblings; nonlinear SVM; one-against-one classification; pattern classification; permutation test; principal component analysis; resting-state functional magnetic resonance imaging; schizophrenia inheritance; schizophrenic patient; support vector machines; Accuracy; Imaging; Pattern classification; Principal component analysis; Psychiatry; Sensitivity; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-0813-8
Type
conf
DOI
10.1109/ICICIP.2011.6008219
Filename
6008219
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