基于线性估计的抑郁症脑磁图研究  

Research on depression MEG based on linear estimator

作　　者：年孟奇 乙万义[2] 白登选 王琼 戴加飞 姚文坡 闫伟[4] 王俊[2] NIAN Mengqi;YI Wanyi;BAI Dengxuan;WANG Qiong;DAI Jiafei;YAO Wenpo;YAN Wei;WANG Jun(School of Geographic and Biologic Information,Nanjing University of Posts and Telecommunications,Nanjing 210003;School of Communications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023;Department of Neurology,Jinling Hospital,Medical School of Nanjing University,Nanjing 210008;Brain Hospital Affiliated to Nanjing Medical University,Nanjing 210029)

机构地区：[1]南京邮电大学通信与信息工程学院,南京210003 [2]南京邮电大学地理与生物信息学院,南京210023 [3]南京大学医学院金陵医院神经内科,南京210008 [4]南京医科大学附属脑科医院,南京210029

出　　处：《北京生物医学工程》2023年第6期589-596,623,共9页Beijing Biomedical Engineering

摘　　要：目的为了研究抑郁症脑磁图的病理特征,使用信息熵对不同情绪刺激的脑磁图复杂度进行量化分析。方法采用线性估计的静态熵、条件熵和互信息,对正性、中性和负性情绪图片刺激下抑郁症患者脑磁图的特征进行对比性分析。结果在中性情绪图片刺激下,抑郁症脑磁图41个通道的静态熵和51个通道的互信息显著高于健康对照组(P<0.05),且均主要集中于额区和颞区。相比之下,条件熵在不同情绪刺激和不同维度下对抑郁症脑磁图的识别效果较差。当维度值改变时,对线性估计条件熵和互信息的区分效果影响较小。结论抑郁症患者较易受到情绪刺激影响,并且静态熵和互信息可以有效地表征抑郁症脑磁图非线性差异,为抑郁症的研究提供帮助。Objective To study the pathological characteristics of depression magnetoencephalography(MEG),the complexity of MEG for different emotional stimuli was quantified by using entropy.Methods Comparative analysis of the characteristics of the MEG of depression patients under positive,neutral,and negative emotional picture stimuli was made by using linear estimator of static entropy,conditional entropy,and mutual information.Results Under neutral mood picture stimuli,static entropy of 41 channels and mutual information of 51 channels were significantly higher in depression MEG than in healthy controls(P<0.05),and both were mainly located in frontal and temporal regions.In comparison,conditional entropy was less effective in identifying depression MEG across emotional stimuli and dimensions.When dimensional values changed,there was less effect on the discriminative effect of linear estimator of conditional entropy and mutual information.Conclusions Depression is more susceptible to emotional stimuli,and static entropy and mutual information can effectively characterize nonlinear differences in depression MEG for the study of depression.

关 键 词：信息熵 条件熵 互信息 脑磁图 抑郁症 

分 类 号：R318.04[医药卫生—生物医学工程]