RESEARCH ARTICLE
Editorial: EEG Phenomenology and Multiple Faces of Short-term EEG Spectral Pattern
Al. A Fingelkurts 1, *, An. A Fingelkurts 1
Article Information
Identifiers and Pagination:
Year: 2010Volume: 4
First Page: 111
Last Page: 113
Publisher ID: TONIJ-4-111
DOI: 10.2174/1874440001004010111
PMID: 21347201
PMCID: PMC3043267
Article History:
Electronic publication date: 8/9/2010Collection year: 2010

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.
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.