Investigation of Epilepsy Patients’ Brains Based on Complex Network
Visualization
HE Yan1,2, YU Yun-li3,YANG Fan1
1. School of Biology & Engineering,
Guizhou Medical University, Guiyang
Guizhou 550004, China; 2. School of Life
Science and Technology, Xi’an Jiaotong
Univeristy, Xi’an Shaanxi 710049, China;
3. Department of Neurology, The Affiliated
Hospital of Guizhou Medical University,
Guiyang Guizhou 550004, China
Abstract：Epilepsy is a kind of brain disease accompanied by transient cognitive impairment. The
objective metrics for clinical diagnosis and treatment evaluation of the disease is deficient because of the
heterogeneity of the pathological mechanism. Multi-channel EEG (Electroencephalogram) recording is an
important technique for monitoring of brain functions. In this paper, complex network visualization is adopted
to investigate the overall state of brain functions in patients with epilepsy. Transient phase locking values are
brought in to extract weighted frequency-dependent complex networks from resting state cortical EEG
signals of epilepsy patients, then Pajek software and minimum spanning tree algorithm are introduced
for depiction of these complex brain networks, which provides a systematic and global visualization
framework for quantitation of brain characteristics of epilepsy patients, and lays a solid technical
foundation for development of intuitive as well as effective auxiliary diagnostic tools for the future.
何艳1,2，于云莉3，杨帆1. 基于复杂网络可视化的癫痫患者大脑状态研究[J]. 中国医疗设备, 2016, 31(9): 39-42.
HE Yan1,2, YU Yun-li3,YANG Fan1. Investigation of Epilepsy Patients’ Brains Based on Complex Network
Visualization. China Medical Devices, 2016, 31(9): 39-42.
