首页|Multiscale ApEn and SampEn in Quantifying Nonlinear Complexity of Depressed MEG

Multiscale ApEn and SampEn in Quantifying Nonlinear Complexity of Depressed MEG

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Depression is a neurophysiological disorder with recurrent dysregulations of self-mental states. Multi-scale Approximate entropy (ApEn) and Sample entropy (SampEn) are employed to characterize nonlinear com-plexity 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.

MagnetoencephalographyDepressionApproximate entropySample entropyMultiscale

YAO Wenpo、HU Hui、WANG Jun、YAN Wei、LI Jin、HOU Fengzhen

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School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

School of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China

College of Physics and Information Technology, Shaanxi Normal University, Xi'an 710062, China

School of Science, China Pharmaceutical University, Nanjing 210009, China

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This work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaJiangsu Provincial Key R&D Program(Social Development)Jiangsu Provincial Key R&D Program(Social Development)Natural Science Foundation of Jiangsu ProvinceNatural Science Research Major Program in Universities of Jiangsu ProvincePostgraduate Research&Practice Innovation Program of Jiangsu Province

61271082614015183167100661771251BE2015700BE2016773BK2014143216KJA310002KYCX17-0788

2019

10.1049/cje.2018.06.007

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(4)
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