The Effects of Concentrative Meditation on the Electroencephalogram in Novice Meditators
Alexander T. Duda, Adam R. Clarke, Frances M. De Blasio, Thomas W. Rout, Robert J. Barry
Clinical EEG and Neuroscience March 1, 2023 DOI: 10.1177/15500594211065897 (opens in new tab)
Summary
AI-generated from the abstractNovice meditators who practiced daily concentrative meditation for about a month showed changes in specific brain wave components during both meditation and resting states. Using frequency Principal Components Analysis (f-PCA), four spectral components were identified: Delta-Theta-Alpha, Low Alpha, High Alpha, and Alpha-Beta. All four components increased during meditation at the second session, but only Low Alpha (around 9.5-10.0 Hz) showed similar increases during resting. The findings support f-PCA as a novel method for analyzing psychophysiological states in meditation research.
Study at a glance
| Characteristics | Pre-post intervention study Peer reviewed |
|---|---|
| Population | Novice meditators |
| Intervention | concentrative meditation |
| Duration | Approximately one-month |
| Key finding | Low Alpha (∼9.5-10.0 Hz) increased during both meditation and resting states after one month of daily concentrative meditation practice, while other spectral components increased only during meditation. |
Abstract
Following investigations into the benefits of meditation on psychological health and well-being, research is now seeking to understand the mechanisms underlying these outcomes. This study aimed to identify natural alpha and theta frequency components during eyes-closed resting and concentrative meditation states and examined their differences within and between two testing sessions. Novice meditators had their EEG recorded during eyes-closed resting and concentrative meditation conditions, before and after engaging in a brief daily concentrative meditation practice for approximately one-month. Separate frequency Principal Components Analyses (f-PCA) yielded four spectral components of interest, congruent between both conditions and sessions: Delta-Theta-Alpha, Low Alpha, High Alpha, and Alpha-Beta. While all four components showed some increase in the meditation condition at the second session, only Low Alpha (∼9.5-10.0 Hz) showed similar increases while resting. These findings support the use of f-PCA as a novel method of data analysis in the investigation of psychophysiological states in meditation.