Multiscale ApEn and SampEn in Quantifying Nonlinear Complexity of Depressed MEG  

作　　者：YAO Wenpo HU Hui WANG Jun YAN Wei LI Jin HOU Fengzhen 

机构地区：[1]School of Telecommunications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China [2]School of Geography and Biological Information,Nanjing University of Posts and Telecommunications,Nanjing 210023,China [3]Brain Hospital Affiliated to Nanjing Medical University,Nanjing 210029,China [4]College of Physics and Information Technology,Shaanxi Normal University,Xi'an 710062,China [5]School of Science,China Pharmaceutical University,Nanjing 210009,China

出　　处：《Chinese Journal of Electronics》2019年第4期817-821,共5页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61271082,No.61401518,No.31671006,No.61771251);Jiangsu Provincial Key R&D Program(Social Development)(No.BE2015700,No.BE2016773);the Natural Science Foundation of Jiangsu Province(No.BK20141432);Natural Science Research Major Program in Universities of Jiangsu Province(No.16KJA310002);Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX17-0788)

摘　　要：Depression is a neurophysiological disorder with recurrent dysregulations of self-mental states.Multiscale Approximate entropy(ApEn)and Sample entropy(SampEn)are employed to characterize nonlinear complexity of Magnetoencephalography(MEG)of depressive patients in our contribution.SampEn shares similarities with ApEn while has better distinctions between the MEGs of depression patients and normal people.Test results prove that nonlinear complexity of the depressive MEG is lower than that of the normal subjects,indicating weaker response of depression patients to emotional stimuli,and the optimum discriminations between the depressive and healthy people lie in frontal lobe of brain which is related to emotional regulation.Our findings provide valuable information about depression,highlight the loss of nonlinear complexity in MEG of depressive patient and can be used as clinical diagnostic aids.Depression is a neurophysiological disorder with recurrent dysregulations of self-mental states. Multiscale Approximate entropy(ApEn) and Sample entropy(SampEn) are employed to characterize nonlinear complexity of Magnetoencephalography(MEG) of depressive patients in our contribution. SampEn shares similarities with ApEn while has better distinctions between the MEGs of depression patients and normal people. Test results prove that nonlinear complexity of the depressive MEG is lower than that of the normal subjects, indicating weaker response of depression patients to emotional stimuli, and the optimum discriminations between the depressive and healthy people lie in frontal lobe of brain which is related to emotional regulation. Our findings provide valuable information about depression, highlight the loss of nonlinear complexity in MEG of depressive patient and can be used as clinical diagnostic aids.

关 键 词：MAGNETOENCEPHALOGRAPHY DEPRESSION Approximate ENTROPY Sample ENTROPY Multiscale 

分 类 号：TN[电子电信]