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利用脑电非线性分析参数复杂度对肝气郁结证患者的研究
引用本文:刘子旺,王玉来,郭蓉娟,尹岭,姚斌. 利用脑电非线性分析参数复杂度对肝气郁结证患者的研究[J]. 中华中医药杂志, 2007, 22(10): 685-688
作者姓名:刘子旺  王玉来  郭蓉娟  尹岭  姚斌
作者单位:1. 北京中医药大学东方医院,北京,100078
2. 中国人民解放军总医院,北京,100853
基金项目:国家自然科学基金;北京市自然科学基金
摘    要:目的:探讨肝气郁结证患者脑电非线性动力学变化规律。方法:15名肝气郁结证患者和15名正常受试者按年龄、性别配对,用参数Cx对安静闭眼、安静睁眼、睁眼心算3种状态下的脑电数据进行分析。结果:肝气郁结证患者部分区域的Cx较正常人增高,随刺激条件的增加,肝气郁结证患者与正常人大脑皮层的Cx均增高,但两者之间Cx差异逐渐缩小,肝气郁结证患者可能有认知功能的改变。结论:脑电非线性分析相对客观和准确地观测到肝气郁结证患者皮层的变化,可以用来对肝气郁结证的脑机制进行研究。

关 键 词:肝气郁结证  脑电图  非线性动力学  复杂度  临床研究
修稿时间:2006-10-06

Study on stagnation of Liver-Qi syndrome by parameter complexity of electroencephalogram nonlinear analysis
LIU Zi-wang,WANG Yu-lai,GUO Rong-juan,YIN Ling,YAO Bin. Study on stagnation of Liver-Qi syndrome by parameter complexity of electroencephalogram nonlinear analysis[J]. China Journal of Traditional Chinese Medicine and Pharmacy, 2007, 22(10): 685-688
Authors:LIU Zi-wang  WANG Yu-lai  GUO Rong-juan  YIN Ling  YAO Bin
Affiliation:1 Dongfang Hospital, Beijing University of TCM, Beijing 100078, China; 2General Hospital of PLA, Beijing 100853, China
Abstract:Objective: To investigate the channel of non-linear dynamics characteristics of electroencephalogram(EEG) with the patients of stagnation of Liver-Qi syndrome.Methods: 15 Liver-Qi stagnation syndrome patients and 15 normal persons were paired by sex and age.The data of EEG under three states(eyes closed,eyes opened,and mental arithmetic with eyes opened) were analyzed by the parameter of Complexity(Cx).Results: Cx of the stagnation of Liver-Qi syndrome group increased significantly compared with that of the healthy control group.The difference of Cx between two groups was gradually reduced along with the increased of stimulated condition.The Liver-Qi stagnation syndrome patients may be changed in cognitive function.Conclusion: Dynamic non-linear analysis is more appropriate for the study of mental functions channel of stagnation of Liver-Qi syndrome and can be investigated the brain mechanism of the stagnation of Liver-Qi syndrome.
Keywords:Syndrome of stagnation of Liver-Qi  Electroencephalogram  Non-linear dynamics  Complexity  Clinical study
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