冥想
脑电图
心理学
阿尔法(金融)
听力学
会话(web分析)
临床心理学
神经科学
医学
心理测量学
计算机科学
内部一致性
神学
万维网
哲学
作者
Alexander T. Duda,Adam R. Clarke,Frances M. De Blasio,Thomas W. Rout,Robert J. Barry
标识
DOI:10.1177/15500594211065897
摘要
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.
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