基于脑网络分析的轻度认知障碍患者脑电变异感兴趣脑区研究

摘要

As a middle state between normal and Alzheimer’s disease(AD) elderly people, the early diagnosis of mild cognitive impairment(MCI) is greatly significant for AD prevention and treatment. Currently, Electroencephalogram (EEG) technology has been widely used to detect and diagnose MCI patients in clinic. However, lackingregions of interest in brains is a challenge in the analysis of EEG signals for physicians. In order to identify altered brain regions in MCI patients, this study investigated 18 subjectsby carrying Peking Opera tasks. EEG signals of each subject were recorded underthe state of eyes-closed, and brain network method was applied for EEG signal analysis. The experimental results showed that network parameters in MCI group were similar with normal group, while betweenness centrality was significantly changed in MCI group. As a result, betweenness centrality of CP3 and P4 nodes in MCI group were significantly changed compared withnormal group.%轻度认知障碍(mild cognitive impairment, MCI)是介于正常老年人和阿尔茨海默病(Alzheimer’s disease, AD)患者之间的一种临床状态，MCI的早期诊断对AD预防和治疗具有非常重大意义。目前，临床经常使用脑电(Electroencephalogram, EEG)技术对MCI患者进行筛查和诊断，但是缺少感兴趣脑区是医生针对MCI的EEG信号诊断中遇到的一个临床问题。为了研究感兴趣脑区，本实验选取了18名老年人参与京剧体验任务，记录了他们在听京剧任务后闭眼状态下的脑电信号，并通过脑网络分析方法对数据进行了分析。结果表明， MCI组的网络参数与正常老年组的基本保持一致，但MCI组节点介数相较于正常老年组却发生较为明显的改变， MCI患者在任务状态下相较于正常老人在CP3和P4两个节点发生显著改变。