Contrasting Electroencephalography-Derived Entropy and Neural Oscillations With Highly Skilled Meditators.
Jacob Young, Martha E Arterberry, Joshua P Martin
Frontiers in Human Neuroscience January 1, 2021 DOI: 10.3389/fnhum.2021.628417 (opens in new tab) via PubMed
Summary
AI-generated from the abstractMeditation encompasses various mental training practices that improve attention and emotion regulation. The electrical brain activity of highly skilled meditators engaging in one of six meditation styles (shamatha, vipassana, zazen, dzogchen, tonglen, and visualization) was recorded, with a mind-wandering task as a control. Lempel-Ziv complexity revealed differences in nonlinear brain dynamics (entropy) during meditation compared to mind wandering, suggesting that meditation, regardless of practice, affects neural complexity. However, no differences were found in power spectra across six frequency bands, likely because participants engaged in different practices. Exploratory analyses indicated neurological differences among meditation practices.
Study at a glance
| Characteristics | Observational study Peer reviewed |
|---|---|
| Population | Highly skilled meditators |
| Interventions | shamatha vipassana zazen dzogchen tonglen visualization |
| Topics | Meditation |
| Keywords | Lempel–ziv Electroencephalography Entropy Oscillations |
| Key finding | Meditation, regardless of practice, affects neural complexity as measured by Lempel-Ziv complexity, while power spectra showed no differences across six frequency bands. |
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.