RESEARCH ARTICLE


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 (http://creativecommons.org/licenses/by-nc/3.0/), 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: alexander.fingelkurts@bm-science.com


Abstract

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.