YAO Wenpo, HU Hui, WANG Jun, YAN Wei, LI Jin, HOU Fengzhen. Multiscale ApEn and SampEn in Quantifying Nonlinear Complexity of Depressed MEG[J]. Chinese Journal of Electronics, 2019, 28(4): 817-821. doi: 10.1049/cje.2018.06.007
Citation: YAO Wenpo, HU Hui, WANG Jun, YAN Wei, LI Jin, HOU Fengzhen. Multiscale ApEn and SampEn in Quantifying Nonlinear Complexity of Depressed MEG[J]. Chinese Journal of Electronics, 2019, 28(4): 817-821. doi: 10.1049/cje.2018.06.007

Multiscale ApEn and SampEn in Quantifying Nonlinear Complexity of Depressed MEG

doi: 10.1049/cje.2018.06.007
Funds:  This work is 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), and Postgraduate Research & Practice Innovation Program of Jiangsu Province (No.KYCX17-0788).
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  • Corresponding author: WANG Jun (corresponding author) was born in Yancheng, China, in 1973. He received the B.S. degree in physics from Nanjing Normal University, Nanjing, China, in 1993 and the Ph.D. degree in acoustics from Nanjing University in 2003. (Email:wangj@njupt.edu.cn)
  • Received Date: 2018-03-27
  • Rev Recd Date: 2018-05-11
  • Publish Date: 2019-07-10
  • 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.
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