EEG microstate syntax analysis: A review of methodological challenges and advances

David Haydock1, Shabnam Kadir2, Robert Leech3

  • 1Biocomputation Research Group, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, UK; Birkbeck-UCL Centre for Neuroimaging, Psychology and Language Sciences, University College London, UK.

Neuroimage
|February 17, 2025
PubMed
Summary

Electroencephalography (EEG) microstate sequences exhibit complex, non-Markovian dynamics. This study categorizes syntax analysis methods and proposes continuous EEG models for better understanding neural dynamics and replicability.

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