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dc.contributor.author Ignaccolo, M. en_US
dc.contributor.author West, B. J. en_US
dc.date.accessioned 2011-06-21T17:27:49Z
dc.date.available 2011-06-21T17:27:49Z
dc.date.issued 2010 en_US
dc.identifier.citation Ignaccolo,M.;Latka,M.;Jernajczyk,W.;Grigolini,P.;West,B. J.. 2010. Dynamics of electroencephalogram entropy and pitfalls of scaling detection. Physical Review E 81(3): 31909-31909. en_US
dc.identifier.issn 1539-3755 en_US
dc.identifier.uri http://hdl.handle.net/10161/4285
dc.description.abstract In recent studies a number of research groups have determined that human electroencephalograms (EEG) have scaling properties. In particular, a crossover between two regions with different scaling exponents has been reported. Herein we study the time evolution of diffusion entropy to elucidate the scaling of EEG time series. For a cohort of 20 awake healthy volunteers with closed eyes, we find that the diffusion entropy of EEG increments (obtained from EEG waveforms by differencing) exhibits three features: short-time growth, an alpha wave related oscillation whose amplitude gradually decays in time, and asymptotic saturation which is achieved after approximately 1 s. This analysis suggests a linear, stochastic Ornstein-Uhlenbeck Langevin equation with a quasiperiodic forcing (whose frequency and/or amplitude may vary in time) as the model for the underlying dynamics. This model captures the salient properties of EEG dynamics. In particular, both the experimental and simulated EEG time series exhibit short-time scaling which is broken by a strong periodic component, such as alpha waves. The saturation of EEG diffusion entropy precludes the existence of asymptotic scaling. We find that the crossover between two scaling regions seen in detrended fluctuation analysis (DFA) of EEG increments does not originate from the underlying dynamics but is merely an artifact of the algorithm. This artifact is rooted in the failure of the "trend plus signal" paradigm of DFA. en_US
dc.language.iso en_US en_US
dc.publisher AMER PHYSICAL SOC en_US
dc.relation.isversionof doi:10.1103/PhysRevE.81.031909 en_US
dc.subject teen birth phenomenon en_US
dc.subject fluctuation analysis en_US
dc.subject time-series en_US
dc.subject behavior en_US
dc.subject eeg en_US
dc.subject physics, fluids & plasmas en_US
dc.subject physics, mathematical en_US
dc.title Dynamics of electroencephalogram entropy and pitfalls of scaling detection en_US
dc.title.alternative en_US
dc.description.version Version of Record en_US
duke.date.pubdate 2010-3-0 en_US
duke.description.endpage 31909 en_US
duke.description.issue 3 en_US
duke.description.startpage 31909 en_US
duke.description.volume 81 en_US
dc.relation.journal Physical Review E en_US

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