基于脑电信号的慢性失眠患者脑老化度研究及重复经颅磁刺激干预

As society develops more and more people suffer from chronic insomnia disorders that often causes damage to cognitive function and accelerates brain aging process. To study the electroencephalogram (EEG) of brain aging in patients with chronic insomnia is a key problem in early diagnosis and treatment of cognitive dysfunction. This project will record the resting state and event related brain electric signals, develop the local and global analysis algorithm and event related potential technology, and compute brain local information figure, global synchronization and event related brain characteristics, to analyze the EEG signals of the chronic insomnia and control group: (1) investigate the significant change areas, complexity and frequency bands, combining with sleep disorder and neuropsychological scale scores to describe the correlation between the chronic insomnia disorder EEG characteristics and degree of cognitive dysfunction; (2) investigate the changes of event related potentials for cognitive dysfunction with chronic insomnia; (3) analyze the effects of various factors on cognitive dysfunction of chronic insomniacs statistically using multivariate regression method to identify the main factors and establish predictive models; (4) Analyze the EEG signals of patients with chronic insomnia in repetitive transcranial magnetic stimulation (rTMS) treatment and non-treatment group, studying the possibility of rTMS for improving the chronic insomnia and cognitive function and verifying the correctness of the algorithm and the conclusion. This project will provide technical and objective theoretical basis for early diagnosis and treatment of cognitive dysfunction caused by chronic insomnia.

随着社会的发展越来越多的人受慢性失眠睡眠障碍困扰，造成认知功能障碍，加速脑老化。研究慢性失眠脑老化的脑电特征，是早期诊断和治疗认知功能障碍的关键问题。本项目将采集静息和事件相关脑电信号，发展局部、全局脑电分析算法及事件相关电位(ERPs)技术，对被试者脑电信号进行分析：(1)考察慢性失眠大脑局部和全局脑电特征显著变化的区域、复杂度和频段，结合睡眠障碍和神经心理量表评分，描述慢性失眠障碍脑电特征与认知功能障碍程度相关性；(2)考察慢性失眠认知功能障碍的ERPs变化；(3)运用多元回归方法，统计分析多种因素对慢性失眠患者认知功能障碍的影响，确定主要因素并建立预测模型；(4)对重复经颅磁刺激(rTMS)治疗和非治疗患者进行脑电信号分析，研究rTMS改善慢性失眠及认知功能的可能性，验证项目算法和结论正确性。本项目将为慢性失眠障碍引起认知功能障碍的早期诊断和治疗提供技术基础和客观理论依据。

随着社会的发展越来越多的人受慢性失眠睡眠障碍困扰，造成认知功能障碍，加速脑老化。研究慢性失眠脑老化的脑电特征，是早期诊断和治疗认知功能障碍的关键问题。本研究探讨了中老年慢性失眠症患者认知功能下降风险与Z药物暴露之间的关系，研究表明Z药物使用与认知功能损害无相关性，Z型药物的使用似乎与注意力保护有关 ；研究了颅内动脉重度狭窄或闭塞及狭窄部位对患者认知功能损害的影响，为临床对颅内动脉重度狭窄或闭塞患者认知功能损害早期采取有效的针对性治疗和康复措施提供客观依据；对所有患者脑电信号进行局部和全局脑电特征提取，获取ERPs成分，并结合神经心理量表、睡眠相关参数以及临床基本资料，探索影响慢性失眠患者认知功能障碍的主要因素及预测模型；应用经颅直流电刺激对慢性失眠患者进行干预，取得较好的临床效果。