A Multimodel Approach for Schizophrenia Diagnosis using fMRI and sMRI Dataset

摘要

Schizophrenia is an acute psychotic disorder, reflected as unusual social conduct. The exact reason for the Schizophrenia is still unknown. At Present it is deprived of any established clinical diagnostic test. Study reveals that unbalanced brain chemicals, cells, environment, and genetics contribute toward this disease. Its diagnosis is through the external observation of behavioral symptoms. Healthcare specialists take the help of Functional magnetic resonance imaging (fMRI) to identify schizophrenia patients by comparing the brain activation patterns with the healthy subjects. This paper presents a novel approach for the cognitive state, classifier for Schizophrenia. A multivariate fusion model by combining Functional Network Connectivity (FNC) and Source Based Morphometry (SBM) features obtained from fMRI and sMRI techniques, is used for the classification of Schizophreniac patients and Healthy subjects.