计算机工程与应用2017，Vol.53Issue(12)：25-30,6.DOI:10.3778/j.issn.1002-8331.1703-0114
精神分裂症患者工作记忆EEG功能网络属性分析
Properties analysis of working memory EEG functional network in schizophrenia
摘要
Abstract
Schizophrenia and cognitive impairments such as information processing, Working Memory(WM)is closely linked. The aim of this study is to investigate the significant differences in various frequency bands, in each stage of elec-troencephalographs(EEGs)between schizophrenia patients and normal controls during visual WM task, providing the basis for diagnosis of schizophrenia. This paper quantizes phase synchronism between two pairs of electrodes by phase locking value, and constructs an incidence matrix. The research computes global properties and the area under the curve of local properties in different sparsity of networks and uses non-parametric test to find the significance properties and nodes as features. In addition, this experiment inputs these features into a support vector machine to distinguish patients and con-trols. The results show that the right frontal and occipital region play a major role inθandαbands and theγ-band-related brain regions are concentrated in the parietal lobe region during WM task;and in the corresponding region patient'sθandαwave correlation between electrodes are lower than normal, butγwave correlation is higher than normal.关键词
工作记忆/精神分裂症/EEG功能网络属性/特征频段/特征脑区Key words
working memory/schizophrenia/EEG functional network properties/feature frequency band/feature brain region分类
信息技术与安全科学引用本文复制引用
孙丽婷,阴桂梅,谭淑平,赵艳丽,张进国,李东,李海芳..精神分裂症患者工作记忆EEG功能网络属性分析[J].计算机工程与应用,2017,53(12):25-30,6.基金项目
国家自然科学基金(No.61472270). （No.61472270）
