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S. Bodenmann, T. Rusterholz, R. Dürr, C. Stoll, V. Bachmann, E. Geissler, K. Jaggi-Schwarz and H. P. Landolt, “The Functional Val158Met Polymorphism of COMT Predicts Interindividual Differences in Brain Alpha Oscillations in Young Men,” Journal of Neuroscience, Vol. 29, No. 35, 2009, pp. 10855-10862. doi:10.1523/JNEUROSCI.1427-09.2009

has been cited by the following article:

• TITLE: Comments for Current Interpretation EEG Alpha Activity: A Review and Analysis

  AUTHORS: Olga Bazanova

  KEYWORDS: EEG Alpha Activity; Individual Alpha Peak Frequency; Individual Alpha Band Width; Activation; Alpha Spindle Microstructure

  JOURNAL NAME: Journal of Behavioral and Brain Science, Vol.2 No.2, May 30, 2012

  ABSTRACT: Introduction: Exploring the EEG alpha oscillations generates considerable interest because there is well known its role in cognitive and psycho emotional aspects of human life. However, till now there isn’t well determined definition what is alpha activity phenomena and which indices are characterize it. Method: This article focuses on the attempt to determine EEG alpha-activity phenomena, its physical, molecular and morphological nature, to highlight its indices and their role in optimal functioning. Results: Specifically, this article examines individual alpha activity indices: 1) the individual alpha peak frequency; 2) activation magnitude measured by estimation the amount of alpha amplitude suppression in response to eyes open and individual alpha band width; 3) three alpha “autorhythmicity” indices: intra-spindle amplitude variability, spindle length and steepness. Conclusions: Throughout, the article provides a number of suggestions which alpha activity indices and in which conditions could be applied in psycho physiological investigations, what is their role in optimal functioning and what are possible directions for future research.