title: Editorial: EEG Phenomenology and Multiple Faces of Short-term EEG Spectral Pattern.
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.
authors.affiliation: BM-Science - Brain and Mind Technologies Research Centre, Espoo, Finland.
authors.forename: Al A
authors.initials: AA
authors.lastname: Fingelkurts
authors.forename: An A
authors.initials: AA
authors.lastname: Fingelkurts