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Related Experiment Video

Updated: Apr 11, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Long-range dependencies make the difference-Comment on "A stochastic model for EEG microstate sequence analysis"

Markus Gschwind¹, Christoph M Michel², Dimitri Van De Ville³

¹Department of Neurology, University Hospital, Geneva, Geneva, Switzerland; Functional Brain Mapping Laboratory, Department of Neuroscience, Biotech Campus, University of Geneva, Geneva, Switzerland.

|June 3, 2015

Summary

No abstract available in PubMed .

Keywords:

Autocorrelation DFA Detrended fluctuation analysis EEG microstates Fractality Lognormal distribution Long-range dependency Markov chain Power law Self-similarity Topographical fluctuations Wavelet leaders

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