北京地区2357名健康人脑电图分析报告
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  • 英文篇名:Analysis of EEG among 2 357 healthy people in Beijing area
  • 作者:吴逊
  • 英文作者:WU Xun;Department of Neurology, Peking University First Hospital;
  • 关键词:脑电图 ; 健康人群 ; 中国人 ; 北京地区
  • 英文关键词:Electroencephalography;;Healthy people;;Chinese;;Beijing area
  • 中文刊名:DXZA
  • 英文刊名:Journal of Epilepsy
  • 机构:北京大学第一医院神经内科;
  • 出版日期:2019-07-15
  • 出版单位:癫痫杂志
  • 年:2019
  • 期:v.5
  • 语种:中文;
  • 页:DXZA201904004
  • 页数:6
  • CN:04
  • ISSN:51-1762/R
  • 分类号:23-28
摘要
目的健康人群从新生儿到中老年的发育过程中的脑电图(EEG)变化在国外已有很多研究。但对中国健康人群的EEG研究较少。因此研究了2 357名健康人群的EEG。方法在冯应琨教授的带领下,于1982年分析了2 357名健康人群清醒时EEG,年龄为2~60岁及以上,包括睁闭眼和过度换气。结果在2~4岁头后部基本节律已达8~9 Hz,但为不规则节律。7岁以后为9 Hz节律,α指数>60%,波幅高于其他年龄。在12~14岁优势节律为10 Hz,与成人相似,α指数70%~80%。此后α节律的波幅逐渐下降。60岁及以上优势节律为9 Hz,α指数<60%,波幅低于成年人。在14~16岁额颞区θ指数为6%,与成年人一致。在18~20岁β指数为20%。结论该多中心研究分析了北京地区2 357名健康中国人群的清醒状态下EEG,虽然该研究完成于20世纪80年代,但对现在的临床EEG诊断治疗仍有较大参考价值。
        Objective Numerous foreign researches focused on the changes of EEG during the developmental periods from the newborn to late adulthood.However,the EEG changes of healthy Chinese people is still rare.Therefore,we examined the EEG of 2 357 healthy Chinese people.Methods In 1982,guided by Prof.Feng,we analysed the waking EEG of 2 357 healthy people,from 2 to above 60 years old,including open eyes induction test and hyperventilation.Results At age 2~4,the posterior basic rhythms has reached 8~9 Hz,but the rhythms were unregular pattern.After age 7,the rhythms were 9 Hz,a index was more than 60%,the amplitude was higher than other ages.At age 12~14,the main rhythms was 10 Hz,the same as adulthood,a index was 70%~80%.After this age,the amplitude of a rhythm deceased gradually.Above 60 years old,the main rhythm was 9 Hz,a index <60%,the amplitude was lower than adulthood.At age 14~16,the 0 index in frontal and temporal regions was 6%,the same as the adulthood.At age 18~20,β index was 20%.Conclusions In the article,we analyzed the waking EEG of 2 357 healthy Chinese people in Beijing area.Although this multi-center study was accomplished at 1980 s,the data is still of great value to the clinical EEG today.
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