Exploring The Abnormal Brain Regions And Abnormal Functional Connections In Sz By Multiple Hypothesis Testing Techniques

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 abnormal brain regions. By implementing the biomarker selection approach, six abnormal brain regions and twenty-three abnormal functional connectivity in the brains of SZ are explored. It is discovered that compared with healthy controls, the significantly reduced gray matter volumes are mainly distributed in the limbic lobe and the basal ganglia, and the significantly increased gray matter volumes are distributed in the frontal gyms. Meanwhile, it is revealed that the significantly strengthened connections are those between the middle frontal gyms and the superior occipital gyms, the superior occipital gyms and the middle occipital gyms as well as the middle occipital gyms and the fusiform gyms, and the rest connections are significantly weakened.