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

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 investigati...

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Autores principales: Young, Jacob H., Arterberry, Martha E., Martin, Joshua P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119624/
https://www.ncbi.nlm.nih.gov/pubmed/33994976
http://dx.doi.org/10.3389/fnhum.2021.628417
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author Young, Jacob H.
Arterberry, Martha E.
Martin, Joshua P.
author_facet Young, Jacob H.
Arterberry, Martha E.
Martin, Joshua P.
author_sort Young, Jacob H.
collection PubMed
description 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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spelling pubmed-81196242021-05-15 Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators Young, Jacob H. Arterberry, Martha E. Martin, Joshua P. Front Hum Neurosci Neuroscience 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. Frontiers Media S.A. 2021-04-30 /pmc/articles/PMC8119624/ /pubmed/33994976 http://dx.doi.org/10.3389/fnhum.2021.628417 Text en Copyright © 2021 Young, Arterberry and Martin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Young, Jacob H.
Arterberry, Martha E.
Martin, Joshua P.
Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators
title Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators
title_full Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators
title_fullStr Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators
title_full_unstemmed Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators
title_short Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators
title_sort contrasting electroencephalography-derived entropy and neural oscillations with highly skilled meditators
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119624/
https://www.ncbi.nlm.nih.gov/pubmed/33994976
http://dx.doi.org/10.3389/fnhum.2021.628417
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