Dynamics of EEG Entropy: beyond signal plus noise

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Paper discussing the dynamics of EEG entropy.

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17 p.: ill.

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Ignaccolo, Massimiliano; Latka, Miroslaw; Jernajczyk, Wojciech; Grigolini, Paolo & West, Bruce J. February 6, 2009.

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Paper discussing the dynamics of EEG entropy.

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17 p.: ill.

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This is the pre-print version of the paper.

Abstract: EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context. Detrended fluctuation analysis of the EEG data is compared with diffusion entropy analysis and is found to suppress certain important properties of the EEG time series.

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  • arXiv:0902.1113

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  • February 6, 2009

Added to The UNT Digital Library

  • July 24, 2013, 1:20 p.m.

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  • March 27, 2014, 4:21 p.m.

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Ignaccolo, Massimiliano; Latka, Miroslaw; Jernajczyk, Wojciech; Grigolini, Paolo & West, Bruce J. Dynamics of EEG Entropy: beyond signal plus noise, paper, February 6, 2009; (digital.library.unt.edu/ark:/67531/metadc174706/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.