ABSTRACT
At present, an effective detecting method for brain function impairment for the patients with the glioma is urgently needed in clinic, because it may help us understand its pathogenesis. This paper proposes a method of combining diffusion tensor tracing technology and 'small world' network. It utilizes the degree of brain function network to study complex network topological properties of the patients with the glioma in temporal lobe area. The experimental results showed that the brain networks of the patients with the glioma of different grades were destroyed compared with those of the normal persons, but the destruction degree is independent of the tumor grades. The distribution of functional connections is index truncated power-law accompanied by significant heterogeneity. Meanwhile, the stronger functional areas of information in the glioma have transferred and there exists lack of language function area and sensory function area.