EEG Synchronizations Length During Meditation
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The dynamic structure of the EEG signal is characterized by segments of synchronization and desynchronization. In this paper, the frequency and duration of these segments were monitored during calm meditation and insight meditation in experienced and naive meditators. A newly developed methodology based on complex continuous wavelet coherence was used to estimate these parameters. The durations highly depend on frequency band and vary from 60 ms to 250 ms. A shorter duration and a lower frequency of synchronization were found for experienced meditators during both types of meditations for the real and the imaginary parts of the complex continuous wavelet coherence. The greatest duration differences were in the gamma band, which may be associated with handling attention during meditation, whereas the differences in the alpha band were most significant for frequency. Combining the two parameters resulted in the total duration of the synchronization, which has discriminative accuracy of up to 100% and appears to be a sensitive parameter of the length of training of meditators.
KeywordsCalm meditation Continuous complex wavelet coherence EEG synchronization Insight meditation
Continuous wavelet transform
Wavelet cross spectrum
Complex continuous wavelet coherence
Receiver operating characteristic
Finite impulse response
This work was supported by the grant MH CZ- DRO. Faculty Hospital in Hradec Kralove (long-term organization development plan) (UHHK, 00179906) and by the grant PRVOUK: P37/08.
Compliance with Ethical Standard
The authors declare that they have no competing interests.
JK, OV, AP participated in the design of the study and performed the statistical analysis. Data were collected and analyzed by the investigators JK, JB, OV. OV, AP, MV conceived of the study, and participated in its design and helped to draft the manuscript. All authors read and approved the final manuscript.
- 8.Netoff, T. I., & Schiff, S. J. (2002). Decreased neuronal synchronization during experimental seizures. Journal of Neuroscience, 22, 7297–7307.Google Scholar
- 9.Gupta, D., & James, C.J. (2007). Narrowband vs. broadband phase synchronization analysis applied to independent components of ictal and interictal EEG. In Engineering in Medicine and Biology Society (pp. 3864–3867). Lyon: IEEEGoogle Scholar
- 12.Tanaka, K., Mizuno, Y., Tanaka, T., & Kitajo, K. (2013). Detection of phase synchronization in EEG with bivariate empirical mode decomposition. In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology (vol. 213, pp. 973–976).Google Scholar
- 20.Freeman, W. J., & Rogers, L. J. (2002). Fine temporal resolution of analytic phase reveals episodic synchronization by state transitions in gamma EEGs. Journal of Neurophysiology, 87, 937–945.Google Scholar
- 21.Baer, R. A. (2005). Mindfulness-based treatment approaches: clinician’s guide to evidence base and applications. London: Academic Press.Google Scholar
- 32.Fries, P., Nikolic, D., & Singer, W. (2007). The gamma cycle. Trends. Neuroscience, 30, 309–316.Google Scholar
- 37.Torrence, C., & Compo, G.P. (1998). A practical guide to wavelet analysis. Bulletin of the American. Meteorological Society, 79, 61–78.Google Scholar
- 38.Shnibha, R., & Albarbar, A. (2013). Petroleum Pumps’ current and vibration signatures analysis using wavelet coherence technique. Advances in Acoustics and Vibration, 6.Google Scholar
- 40.Walker, J.S. (2008). A primer on wavelets and their scientific applications. New York: CRC PressGoogle Scholar
- 42.Chung, D., Yun, K., & Jeong, J. (2015). Decoding covert motivations of free riding and cooperation from multi-feature pattern analysis of EEG signals. Social Cognitive and Affective Neuroscience, 10(9), 1210–1218.Google Scholar