Abstract
Network analysis based on graph theory has greatly promoted the cognition of the human brain network. A detailed brain network function connection analysis was carried out for the brain of normal human brain and mental illness patients. We studied the Magnetoencephalography (MEG) of 9 normal subjects and 9 schizophrenics in left hemisphere temporal lobe and frontal lobe regions. And obtained the dynamic function connectivity matrix by calculating Pearson correlation coefficients that based on sliding time window and shorttime Fourier transform, and constructed weight and binary network by graph theory. Analyzed the small world properties of normal human brain networks, and compared the differences of network between normal subjects and patients with schizophrenia.
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