计算机工程与应用2019，Vol.55Issue(5)：60-64,5.DOI:10.3778/j.issn.1002-8331.1803-0455
精分EEG脑网络同步稳定性研究
Study on Synchronization Stability of Compelx Brain Network:Schizophrenia EEG
姚蓉 1杨雄 1杨鹏飞 1阴桂梅 1李海芳2
作者信息
- 1. 太原理工大学 信息与计算机学院,太原 030600
- 2. 太原师范学院 计算机系,山西 晋中 030619
- 折叠
摘要
Abstract
In order to further characterize changes in the state of each electrode channel during brain activity in schizo-phrenic patients, the article uses complex network synchronization stability theory and the working memory SMST experi-mental paradigm to analyze the EEG signals. The brain function network is constructed from the perspective of complex networks and the evolution of the brain network and its synchronization over time is analyzed using the characteristic spectrum ratio method. Comparing the simulation experiments, it shows that the synchronization ability of the refined patients and the normal control group is very different and the difference is mainly due to the difference in a localized region S of the corresponding brain network. The comparative experiments are designed to further verify the effect of this region on the synchronization of brain networks. The discovery of the brain-synchronous and stable region S has provided new ideas for studying the evolution of brain networks under neuropsychiatric diseases.关键词
脑电图/精神分裂症/工作记忆/复杂网络/脑网络同步Key words
Electroencephalogram(EEG)/ schizophrenia/ working memory/ complex network/ brain network synchronization分类
信息技术与安全科学引用本文复制引用
姚蓉,杨雄,杨鹏飞,阴桂梅,李海芳..精分EEG脑网络同步稳定性研究[J].计算机工程与应用,2019,55(5):60-64,5.
