Bispectrum Estimation of Electroencephalogram Signals During Meditation

Author(s):
Ateke GoshvarpourAteke Goshvarpour1, Atefeh GoshvarpourAtefeh Goshvarpour2,*, Saeed RahatiSaeed Rahati3, Vahid SaadatianVahid Saadatian4
1Department of Biomedical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran
2MSc, Department of Biomedical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran
3Department of Electrical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran
4Department of Psychiatry, Islamic Azad University, Mashhad Branch, Faculty of Medicine, Mashhad, Iran
*Corresponding Author: MSc, Department of Biomedical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran, Tel: +98-9153143994, Fax: +98-5117625993 Email: [email protected]

IJ Psychiatry and Behavioral Sciences:Vol. 6, issue 2; 48-54
Published online:Dec 30, 2012
Article type:Research Article
Received:Nov 19, 2010
Accepted:Jul 02, 2012
How to Cite:Goshvarpour A, Goshvarpour A, Rahati S, Saadatian V. Bispectrum Estimation of Electroencephalogram Signals During Meditation. Iran J Psychiatry Behav Sci. 2012;6(2):. doi:

Abstract

Objective: Electroencephalogram is a reliable reflection of many physiological factors modulating the brain. The Bispectrum is very useful for analyzing non-Gaussian signals such as EEG, and detecting the quadratic phase coupling between distinct frequency components in EEG signals.The main aim of this study was to test the existence of nonlinear phase coupling within the EEG signals in a certain psycho-physiological state; meditation.

Methods: Eleven meditators and four non-meditators were asked to do meditation by listening to the guidance of the master, and 10 subjects were asked to do meditation by themselves. Bispectrum estimation was applied to analyze EEG signals, before and during meditation. EEG signals were recorded using 16-channel PowerLab. ANOVA test was used to establish significant changes in Bispectrum parameters, during two different states (before and during meditation).

Results: Mean Bispectrum magnitude of each channel increased during meditation. These increments of phase coupling are more obvious in occipital region (Pz channel) than frontal and central regions (Fz and Cz channels). Besides that phase coupled harmonics are shifted to the higher frequencies during meditation.

Conclusion:Bispectrum methods can be useful for distinction between two states (before and during meditation).

Declaration of interest: None.

Citation: GoshvarpourA, Goshvarpour A, Rahati S, Saadatian V.Bispectrum estimation of electroencephalogram signals during meditation. Iran J Psychiatry Behav Sci 2012; 6(1): 48-54

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© 2012, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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