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基于 EEG 数据提取的香农熵和皮尔逊第一偏度系数分析冥想与感觉参与的大脑状态。

Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson's First Skewness Coefficient Extracted from EEG Data.

机构信息

Department of Physics, Dodd-Walls Centre for Photonics and Quantum Technologies, University of Auckland, Auckland 1142, New Zealand.

Department of Mathematics, University of Memphis, Memphis, TN 38152, USA.

出版信息

Sensors (Basel). 2023 Jan 23;23(3):1293. doi: 10.3390/s23031293.

Abstract

It has been proposed that meditative states show different brain dynamics than other more engaged states. It is known that when people sit with closed eyes instead of open eyes, they have different brain dynamics, which may be associated with a combination of deprived sensory input and more relaxed inner psychophysiological and cognitive states. Here, we study such states based on a previously established experimental methodology, with the aid of an electro-encephalography (EEG) array with 128 electrodes. We derived the Shannon Entropy (H) and Pearson's 1st Skewness Coefficient (PSk) from the power spectrum for the modalities of meditation and video watching, including 20 participants, 11 meditators and 9 non-meditators. The discriminating performance of the indices H and PSk was evaluated using Student's t-test. The results demonstrate a statistically significant difference between the mean H and PSk values during meditation and video watch modes. We show that the H index is useful to discriminate between and participants during meditation over both the prefrontal and occipital areas, while the PSk index is useful to discriminate from based on the prefrontal areas for both meditation and video modes. Moreover, we observe episodes of anti-correlation between the prefrontal and occipital areas during meditation, while there is no evidence for such anticorrelation periods during video watching. We outline directions of future studies incorporating further statistical indices for the characterization of brain states.

摘要

有人提出,冥想状态显示出与其他更专注状态不同的大脑动态。众所周知,当人们闭着眼睛而不是睁开眼睛坐着时,他们的大脑动态会有所不同,这可能与剥夺感官输入和更放松的内在心理生理和认知状态的结合有关。在这里,我们基于先前建立的实验方法研究了这些状态,借助带有 128 个电极的脑电图 (EEG) 阵列。我们从冥想和观看视频的模态的功率谱中推导出了香农熵 (H) 和 Pearson 的第一偏度系数 (PSk),包括 20 名参与者、11 名冥想者和 9 名非冥想者。使用学生 t 检验评估了指数 H 和 PSk 的判别性能。结果表明,在冥想和视频观看模式下,H 和 PSk 值的平均值之间存在统计学上的显著差异。我们表明,H 指数可用于在冥想期间区分 和 参与者,无论是在前额区域还是枕叶区域,而 PSk 指数可用于根据前额区域区分冥想和视频模式下的 和 参与者。此外,我们观察到冥想期间前额叶和枕叶区域之间存在反相关的情况,而在观看视频期间没有这种反相关期的证据。我们概述了未来的研究方向,包括进一步的统计指数来描述大脑状态。

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