脑电特征分析在阿尔茨海默症临床研究中的应用

阿尔茨海默症(AD)是典型的脑认知功能障碍性疾病，严重影响患者的工作与生活，如何早期诊断此类疾病，一直是人们关注的热点，也是一项有意义的研究。脑电信号包含的功能信息，在脑认知功能障碍的早期诊断中有着独特的优势。从AD的发病机理出发，总结AD的常规诊断方法，进一步阐述脑电特征分析方法，即脑电功率谱、脑诱发电位、脑电近似熵及脑电复杂度等在AD诊断中的应用研究现状，并进行展望。

The Application of EEG Feature Analysis in ClinicalResearch of Alzheimer′s Disease

Alzheimer′s disease (AD) is a typical brain cognitive dysfunction, having serious impacts on the patient′s work and life. Early diagnosis of this disease has been one important issue that attracts intense attention and also a meaningful work. EEG contains a lot of functional information in favor of early diagnosis of brain cognitive dysfunction. Our study based on the pathogenesis of AD summed up the conventional diagnostic methods of AD, and further reviewed the current situation of the EEG analysis method, such as the EEG power spectrum, evoked potentials, approximate entropy and complexity, etc. The perspective in this field was discussed as well.