AI 中文总结
本研究探究能否用EEG信号区分奢摩他与内观禅修状态，提取相关特征分析后发现δ频带存在显著状态差异，证实EEG指标可用于禅修的客观表征。
AI 中文摘要
禅修与一系列认知及生理益处相关，但不同禅修实践的潜在神经机制尚未完全明确。本研究探究脑电图（EEG）信号是否可用于表征和区分两种常见禅修技术——奢摩他（Samatha，强调持续专注）与内观（Vipassana，强调正念观察与洞察），二者涉及不同认知过程。通过从预禅修静息态、奢摩他及内观状态下记录的EEG信号中提取频带功率、相干性和小波熵等特征，评估频谱功率、信号复杂性及功能连接如何区分这两种实践。12名经验丰富的禅修者的初步结果显示，存在与状态相关的EEG差异，其中δ频带的效应最为显著。这些结果证明了基于EEG的指标在禅修客观表征中的实用性，并加深了对不同禅修实践潜在神经过程的理解。
英文摘要
Meditation has been associated with a range of cognitive and physiological benefits. However, the underlying neural mechanisms of different meditation practices are not yet fully understood. This study investigates whether electroencephalogram (EEG) signals can be used to characterize and distinguish two commonly practiced meditation techniques, namely Samatha and Vipassana, which involve distinct cognitive processes, with Samatha emphasizing sustained concentration and Vipassana emphasizing mindful observation and insight. By extracting features such as band power, coherence and wavelet entropy from EEG signals recorded during pre-meditation resting, Samatha, and Vipassana states, we provide an assessment of how spectral power, signal complexity, and functional connectivity differentiate these practices. Preliminary results from $12$ experienced meditators indicate condition-dependent EEG differences, with the most pronounced effects observed in the delta frequency band. These results demonstrate the utility of EEG-based metrics for the objective characterization of meditation and advance our comprehension of the neural processes underlying different contemplative practices.
CommentsAccepted for APSIPA ASC 2026
