Alexander T Duda, Adam R Clarke, Frances M De Blasio, Thomas W Rout, Robert J Barry
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引用次数: 2
摘要
在调查了冥想对心理健康和幸福的好处之后,现在的研究正在寻求理解这些结果背后的机制。本研究旨在确定闭眼休息和集中冥想状态下的自然α和θ频率成分,并检查它们在两个测试阶段内和之间的差异。研究人员记录了冥想新手在闭眼休息和集中冥想状态下的脑电图,在进行为期大约一个月的简短的日常集中冥想练习之前和之后。独立频率主成分分析(f-PCA)产生了四个感兴趣的频谱成分,在两个条件和会话之间是一致的:Delta-Theta-Alpha, Low -Alpha, High -Alpha和Alpha- beta。虽然在第二阶段的冥想条件下,所有四个成分都显示出一些增加,但只有低α (~ 9.5-10.0 Hz)在休息时显示出类似的增加。这些发现支持使用f-PCA作为一种新的数据分析方法来研究冥想中的心理生理状态。
The Effects of Concentrative Meditation on the Electroencephalogram in Novice Meditators.
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.
期刊介绍:
Clinical EEG and Neuroscience conveys clinically relevant research and development in electroencephalography and neuroscience. Original articles on any aspect of clinical neurophysiology or related work in allied fields are invited for publication.