Effects of Ageing and Sex on Complexity in the Human Sleep EEG: A Comparison of Three Symbolic Dynamic Analysis Methods

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dc.contributor.authorTosun, Pınar Deniz
dc.contributor.authorDijk, Derk-Jan
dc.contributor.authorSommerer, Raphaelle Winsky
dc.contributor.authorAbasolo, Daniel
dc.date.accessioned2020-05-01T09:11:52Z
dc.date.available2020-05-01T09:11:52Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Biyomedikal Mühendisliği Bölümüen_US
dc.descriptionAbasolo, Daniel/0000-0002-4268-2885en_US
dc.descriptionWOS: 000455753100001en_US
dc.description.abstractSymbolic dynamic analysis (SDA) methods have been applied to biomedical signals and have been proven efficient in characterising differences in the electroencephalogram (EEG) in various conditions (e.g., epilepsy, Alzheimer's, and Parkinson's diseases). In this study, we investigated the use of SDA on EEGs recorded during sleep. Lempel-Ziv complexity (LZC), permutation entropy (PE), and permutation Lempel-Ziv complexity (PLZC), as well as power spectral analysis based on the fast Fourier transform (FFT), were applied to 8-h sleep EEG recordings in healthy men (n=31) and women (n=29), aged 20-74 years. The results of the SDA methods and FFT analysis were compared and the effects of age and sex were investigated. Surrogate data were used to determine whether the findings with SDA methods truly reflected changes in nonlinear dynamics of the EEG and not merely changes in the power spectrum. The surrogate data analysis showed that LZC merely reflected spectral changes in EEG activity, whereas PE and PLZC reflected genuine changes in the nonlinear dynamics of the EEG. All three SDA techniques distinguished the vigilance states (i.e., wakefulness, REM sleep, NREM sleep, and its sub-stages: stage 1, stage 2, and slow wave sleep). Complexity of the sleep EEG increased with ageing. Sex on the other hand did not affect the complexity values assessed with any of these three SDA methods, even though FFT detected sex differences. This study shows that SDA provides additional insights into the dynamics of sleep EEG and how it is affected by ageing.en_US
dc.description.sponsorshipMinistry of Education of the Republic of TurkeyMinistry of National Education - Turkey; Royal Society Wolfson Research Merit AwardRoyal Society of London; Leverhulme TrustLeverhulme Trust [RPG-2014-267]; H. Lundbeck A/S (Valby, Denmark)en_US
dc.description.sponsorshipThe authors would like to thank the Ministry of Education of the Republic of Turkey for the higher education bursary scheme which provided funding for the Ph.D. of P.D. Tosun. D.-J. Dijk is supported by a Royal Society Wolfson Research Merit Award. R. Winsky-Sommerer is supported by a Leverhulme Trust research project grant (RPG-2014-267). The authors would also like to thank Mr. Giuseppe Atzori from the Clinical Research Centre for his advice and support with the dataset. The study for this dataset was funded by H. Lundbeck A/S (Valby, Denmark) and conducted at Surrey Sleep Research Centre (SSRC) and granted to Prof. Derk-Jan Dijk.en_US
dc.identifier.doi10.1155/2019/9254309en_US
dc.identifier.issn1076-2787
dc.identifier.issn1099-0526
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1155/2019/9254309
dc.identifier.urihttps://hdl.handle.net/20.500.12684/5794
dc.identifier.wosWOS:000455753100001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWiley-Hindawien_US
dc.relation.ispartofComplexityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleEffects of Ageing and Sex on Complexity in the Human Sleep EEG: A Comparison of Three Symbolic Dynamic Analysis Methodsen_US
dc.typeArticleen_US

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