EEG microstate sequences in healthy humans at rest reveal scale-free dynamics

University of Geneva · École Polytechnique Fédérale de Lausanne

PubMed
Indexed incrossrefpubmed

Abstract

Recent findings identified electroencephalography (EEG) microstates as the electrophysiological correlates of fMRI resting-state networks. Microstates are defined as short periods (100 ms) during which the EEG scalp topography remains quasi-stable; that is, the global topography is fixed but strength might vary and polarity invert. Microstates represent the subsecond coherent activation within global functional brain networks. Surprisingly, these rapidly changing EEG microstates correlate significantly with activity in fMRI resting-state networks after convolution with the hemodynamic response function that constitutes a strong temporal smoothing filter. We postulate here that microstate sequences should…

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617
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Authors

3

Topics & keywords

Keywords
  • Ministate
  • Electroencephalography
  • Resting state fMRI
  • Detrended fluctuation analysis
  • Neuroscience
  • Brain activity and meditation
  • Statistical physics
  • Artificial intelligence
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