Editorial: EEG Phenomenology and Multiple Faces of Short-term EEG Spectral Pattern

Al. A Fingelkurts 1, *, An. A Fingelkurts 1
1 BM-Science – Brain and Mind Technologies Research Centre, Espoo, Finland

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© Fingelkurts and Fingelkurts; Licensee Bentham Open

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the BM-Science – Brain & Mind Technologies Research Centre, PO Box 77, FI-02601, Espoo, Finland; Tel: +358 9 5414506; Fax: +358 9 5414507; E-mail:


An electroencephalogram (EEG) signal is extremely nonstationary, highly composite and very complex, all of which reflects the underlying integral neurodynamics. Understanding the EEG “grammar”, its internal structural organization would place a “Rozetta stone” in researchers’ hands, allowing them to more adequately describe the information processes of the brain in terms of EEG phenomenology. This Special Issue presents a framework where short-term EEG spectral pattern (SP) of a particular type is viewed as an information-rich event in EEG phenomenology. It is suggested that transition from one type of SP to another is accompanied by a “switch” between brain microstates in specific neuronal networks, or in cortex areas; and these microstates are reflected in EEG as piecewise stationary segments. In this context multiple faces of a short-term EEG SP reflect the poly-operational structure of brain activity.

Keywords: Electroencephalogram (EEG) phenomenology, short-term spectral patterns, neuronal assemblies, EEG oscillatory states, brain oscillations, EEG frequencies.