DocumentCode
1614873
Title
fMRI analysis of schizophrenic patients with aggressive behavior
Author
Pei Zhu ; Xiaoyan Liu ; Jian-Song Zhou
Author_Institution
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
fYear
2013
Firstpage
675
Lastpage
678
Abstract
It has been repeatedly demonstrated that schizophrenia has a small but significant association with violence or aggression. Attempt was made in this work to explore a potential quantitative index for classification of schizophrenic patients with and without aggressive behavior (MSA and MSNA), by analyzing the resting state fMRI data of 13*2 samples with regional homogeneity approach (ReHo). Statistically meaningful differences were found between MS A and MSNA group in eleven brain sub-areas, including left supramarginal gyrus, left parietal lobule, right superior temporal gyrus and left cerebellum anterior lob etc. Receptive operation characteristic analysis of the mean smReho map of those brain areas demonstrates further that the mean smReho value of the left cerebellum anterior lob has highest sensitivity and specificity for classification of MSNA and MSA, with a critical value of 1.175. In our future work, fMRI data acquired by different machines will be used to test this critical value.
Keywords
biomedical MRI; brain; data acquisition; image classification; medical image processing; statistical analysis; MSNA classification; MSNA group; ReHo; aggressive behavior; brain sub-areas; fMRI analysis; fMRI data; fMRI data acquisition; left cerebellum anterior lob; left parietal lobule; left supramarginal gyrus; mean smReho map; potential quantitative index; receptive operation characteristic analysis; regional homogeneity approach; right superior temporal gyrus; schizophrenic patients; statistical analysis; Brain; Educational institutions; Indexes; Magnetic resonance imaging; Neuroimaging; Psychiatry; Sensitivity and specificity; aggression; cerebellum; fMRI; resting state; schizophrenia;
fLanguage
English
Publisher
ieee
Conference_Titel
Chinese Automation Congress (CAC), 2013
Conference_Location
Changsha
Print_ISBN
978-1-4799-0332-0
Type
conf
DOI
10.1109/CAC.2013.6775820
Filename
6775820
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