Literature DB >> 12689117

Interpretation of scaling properties of electroencephalographic fluctuations via spectral analysis and underlying physiology.

P A Robinson1.   

Abstract

Detrended fluctuation analysis has recently demonstrated the existence of two approximate temporal scaling regimes in locally detrended human electroencephalographic (EEG) fluctuations, and has suggested a connection between the location of the breakpoint between regimes and the alpha resonance near 10 Hz. It is shown here that these scalings can be explained in terms of the filtering of the underlying power spectrum implied by the detrending process. Using a recent physiologically based model of EEG generation, the main features of the scalings, and deviations from them, are related to the underlying physiology of dendritic propagation and muscle electrical activity, and it is concluded that the effects of such physiological features are usually clearer in spectra.

Entities:  

Mesh:

Year:  2003        PMID: 12689117     DOI: 10.1103/PhysRevE.67.032902

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  8 in total

1.  Complexity measures of brain wave dynamics.

Authors:  Jianbo Gao; Jing Hu; Wen-Wen Tung
Journal:  Cogn Neurodyn       Date:  2011-02-09       Impact factor: 5.082

2.  Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal.

Authors:  Haiguang Wen; Zhongming Liu
Journal:  Brain Topogr       Date:  2015-08-29       Impact factor: 3.020

3.  Multiscale brain modelling.

Authors:  P A Robinson; C J Rennie; D L Rowe; S C O'Connor; E Gordon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

4.  The dynamics of EEG entropy.

Authors:  Massimiliano Ignaccolo; Mirek Latka; Wojciech Jernajczyk; Paolo Grigolini; Bruce J West
Journal:  J Biol Phys       Date:  2009-08-11       Impact factor: 1.365

5.  NREM Sleep EEG Characteristics Correlate to the Mild Cognitive Impairment in Patients with Parkinsonism.

Authors:  Cheng Zhang; Luhua Wei; Fengqingyang Zeng; Tingwei Zhang; Yunchuang Sun; Yane Shen; Guangfa Wang; Jing Ma; Jue Zhang
Journal:  Biomed Res Int       Date:  2021-07-24       Impact factor: 3.411

6.  Facilitating joint chaos and fractal analysis of biosignals through nonlinear adaptive filtering.

Authors:  Jianbo Gao; Jing Hu; Wen-wen Tung
Journal:  PLoS One       Date:  2011-09-06       Impact factor: 3.240

7.  Multiscale analysis of biological data by scale-dependent lyapunov exponent.

Authors:  Jianbo Gao; Jing Hu; Wen-Wen Tung; Erik Blasch
Journal:  Front Physiol       Date:  2012-01-24       Impact factor: 4.566

8.  High-frequency Broadband Modulations of Electroencephalographic Spectra.

Authors:  Julie Onton; Scott Makeig
Journal:  Front Hum Neurosci       Date:  2009-12-23       Impact factor: 3.169

  8 in total

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