title: Individual differences in brain dynamics: important implications for the calculation of event-related band power.
abstract: Measures of event-related band power such as event-related desynchronization (ERD) are conventionally analyzed within fixed frequency bands, although it is known that EEG frequency varies as a function of a variety of factors. The question of how to determine these frequency bands for ERD analyses is discussed and a new method is proposed. The rationale of this new method is to adjust the frequency bands to the individual alpha frequency (IAF) for each subject and to determine the bandwidth for the alpha and theta bands as a percentage of IAF. As an example, if IAF equals 12 Hz, the widths of the alpha and theta bands are larger as compared to a subject with an IAF of, e.g., only 8 Hz. The results of an oddball paradigm show that the proposed method is superior to methods that are based on fixed frequencies and fixed bandwidths.
authors.affiliation: Department of Physiological Psychology, University of Salzburg, Austria. michael.doppelmayr@sbg.ac.at
authors.forename: M
authors.initials: M
authors.lastname: Doppelmayr
authors.forename: W
authors.initials: W
authors.lastname: Klimesch
authors.forename: T
authors.initials: T
authors.lastname: Pachinger
authors.forename: B
authors.initials: B
authors.lastname: Ripper
mesh_terms: D000328:Adult; D000513:Alpha Rhythm / Q000706:statistics & numerical data; D001921:Brain / Q000502:physiology*; D003491:Cybernetics; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005071:Evoked Potentials; D005074:Evoked Potentials, Visual; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D013826:Theta Rhythm / Q000706:statistics & numerical data