摘要
研究精神分裂症患者(SC)和抑郁症患者(DP)的静息态脑电功率谱熵,深入比较该指标在两种疾病人群中的表现,探究这一指标对两种疾病大脑异常情况的反映。选择性别、年龄相匹配的精神分裂症、抑郁症患者各100例(男:50,女:50),采集睁眼、闭眼两种状态下的静息态脑电数据;对脑电信号进行信号预处理,并通过独立成分分析实现伪迹校正;基于Welch变换进行功率谱分析,归一化后利用相对功率计算脑电的功率谱熵;采用t检验、方差分析等统计手段,对该指标做统计分析。结果表明,在任意相同状态下,精神分裂症组的组平均功率谱熵在每一导联上都低于抑郁症患者组(导联平均功率谱熵:闭眼状态下,SC:1.26;DP:1.32;睁眼状态下,SC:1.33;DP:1.37),且在多数导联上差异显著(P<0.05);对于两组被试,其闭眼状态下的功率谱熵均分别低于睁眼状态下的功率谱熵;对于功率谱熵从睁眼状态至闭眼状态的减少量,两组被试在Fp1、Fp2导联存在显著差异(P<0.05)(Fp1:SC为0.08,DP为0.02;Fp2:SC为0.09,DP为0.02);在睁眼状态下,精神分裂症与抑郁症患者大脑左右半球功率谱熵的不对称性存在差异,精神分裂症组表现出更广的不对称性(呈显著不对称性的电极对:SC有4对,包括F3-F4、O1-O2、F7-F8、T5-T6;DP有2对,包括P3-P4、F7-F8);闭眼状态下二者的不对称性均只显著体现在F7-F8、T5-T6导联(P<0.05)。功率谱熵这一指标能够敏感直观地描述功率谱的分布情况与不规则程度,进而反映脑电信号的复杂程度以及个体大脑活跃程度。该指标能够作为一项有效参考,反映两种疾病人群在静息态下大脑活动的差异,并有望用于区分精神分裂症与抑郁症。
The aims of this paper were to investigate the power spectral entropy of the resting state EGG of schizophrenic(SC)and depressive(DP)patients and compare the performance of this index in these two kinds of diseases and to explore the reflection of this index on brain abnormalities of the two diseases.The subjects included 100 schizophrenia patients and 100 depression patients whose sex and age were matched(male:50,female:50).EEG was recorded under two conditions:(i)resting with eyes closed,and(ii)resting with eyes open.The signal preprocessing and the artifact correction were performed first.Power spectrum analysis was based on Welch transform,and the entropy of power spectrum was calculated by using relative power after normalization.At last,statistical analysis of the index was done by t-test and analysis of variance(ANOVA)through Matlab and SPSS.In any of the same states,the group average power spectral entropy of patients with schizophrenia was lower than that of patients with depression(lead average power spectrum entropy:closed-eye state:SC:1.26;DP:1.32;open eyes state:SC:1.33;DP:1.37),and the difference was significant on most leads(P<0.05).For all the subjects,the power spectral entropy in the closed-eye state was lower than that in the open eyes state.The decrease of the entropy from closed-eye state to open eyes state showed significant difference between the two groups in Fp1 and Fp2 leads(P<0.05)(Fp1:SC:0.08;DP:0.02;Fp2:SC:0.09;DP:0.02).In the closed-eye state,there was a difference in the asymmetry of power spectrum entropy between the left and right hemispheres of patients with schizophrenia and depression,and the schizophrenic group showed wider asymmetry(the pairs of electrodes with significant asymmetry:SC:4 pairs,including F3-F4,O1-O2,F7-F8,T5-T6;DP:2 pairs,including P3-P4,F7-F8).In the open eyes state,both of the two groups only showed significant asymmetry in the F7-F8,T5-T6 leads(P<0.05).In conclusion,the power spectrum entropy can sensitively and intuitively describe the distribution and irr
作者
冯静雯
赖虹宇
邓伟
曾金坤
张军鹏
李涛
Feng Jingwen;Lai Hongyu;Deng Wei;Zeng Jinkun;Zhang Junpeng;Li Tao(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;Mental Health Center,Hua Xi Hospital,Sichuan University,Chengdu 610000,China)
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2019年第4期385-391,共7页
Chinese Journal of Biomedical Engineering
基金
国家重点研发项目(2016YFC0904300)
四川大学华西医院学科卓越发展1·3·5工程项目(ZY2016203,ZY2016103)
四川大学创新火花库项目(2018SCUH0080)
关键词
精神分裂症
抑郁症
静息态脑电
功率谱熵
schizophrenia
depression
resting state EEG
power spectral entropy
