基于图论的复杂网络分析在癫痫中的研究进展

Developments of complex brain networks based on graph theoretical analysis in epilepsy

癫痫作为一种脑网络异常疾病,目前已有用复杂网络分析方法分析磁共振和脑电图数据等构建出全脑的结构和功能网络;这种源于图论分析的复杂网络方法,可以对连接所构网络进行量化分析,提供多种量化指标,可以帮助我们提高对癫痫发展及癫痫发作产生机制的认识。本文介绍了当前复杂网络的基本概念及其在癫痫疾病上的应用情况。

Epilepsy is a disease of aberrant network .Recent advances in MRI and electrophysiology with the complex brain networks based on graph theoretical analysis now make it possible to investigate structural and functional network of the entire brain ,and these techniques are able to quantify the analyses of functional connectivity network by a set of values and currently contribute to our understanding of the mechanisms underlying the development of epilepsy and the generation of epileptic seizures .In this paper ,the authors discuss the multiple basic concepts in complex networks and the current ap-plications of complex network in epilepsy .