Lan Yang1, Shun Qi2,3,#, Chen Qiao1,*, Yanmei Kang1
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 215-237, 2020, DOI:10.32604/cmes.2020.010796
Abstract Schizophrenia (SZ) is one of the most common mental diseases. Its
main characteristics are abnormal social behavior and inability to correctly understand real things. In recent years, the magnetic resonance imaging (MRI) technique has been popularly utilized to study SZ. However, it is still a great challenge
to reveal the essential information contained in the MRI data. In this paper, we
proposed a biomarker selection approach based on the multiple hypothesis testing
techniques to explore the difference between SZ and healthy controls by using
both functional and structural MRI data, in which biomarkers represent both
abnormal brain functional connectivity and… More >
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