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Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators

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Specialty Neurology
Date 2021 May 17
PMID 33994976
Citations 2
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Abstract

Meditation is an umbrella term for a number of mental training practices designed to improve the monitoring and regulation of attention and emotion. Some forms of meditation are now being used for clinical intervention. To accompany the increased clinical interest in meditation, research investigating the neural basis of these practices is needed. A central hypothesis of contemplative neuroscience is that meditative states, which are unique on a phenomenological level, differ on a neurophysiological level. To identify the electrophysiological correlates of meditation practice, the electrical brain activity of highly skilled meditators engaging in one of six meditation styles (shamatha, vipassana, zazen, dzogchen, tonglen, and visualization) was recorded. A mind-wandering task served as a control. Lempel-Ziv complexity showed differences in nonlinear brain dynamics (entropy) during meditation compared with mind wandering, suggesting that meditation, regardless of practice, affects neural complexity. In contrast, there were no differences in power spectra at six different frequency bands, likely due to the fact that participants engaged in different meditation practices. Finally, exploratory analyses suggest neurological differences among meditation practices. These findings highlight the importance of studying the electroencephalography (EEG) correlates of different meditative practices.

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References
1.
Fell J, Axmacher N, Haupt S . From alpha to gamma: electrophysiological correlates of meditation-related states of consciousness. Med Hypotheses. 2010; 75(2):218-24. DOI: 10.1016/j.mehy.2010.02.025. View

2.
Saggar M, King B, Zanesco A, MacLean K, Aichele S, Jacobs T . Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity. Front Hum Neurosci. 2012; 6:256. PMC: 3437523. DOI: 10.3389/fnhum.2012.00256. View

3.
Fox K, Nijeboer S, Dixon M, Floman J, Ellamil M, Rumak S . Is meditation associated with altered brain structure? A systematic review and meta-analysis of morphometric neuroimaging in meditation practitioners. Neurosci Biobehav Rev. 2014; 43:48-73. DOI: 10.1016/j.neubiorev.2014.03.016. View

4.
Pinneo L . On noise in the nervous system. Psychol Rev. 1966; 73(3):242-7. DOI: 10.1037/h0023240. View

5.
Fries P . A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn Sci. 2005; 9(10):474-80. DOI: 10.1016/j.tics.2005.08.011. View