EEG-guided meditation: A personalized approach

Q Medicine
Andrew A. Fingelkurts , Alexander A. Fingelkurts , Tarja Kallio-Tamminen
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引用次数: 30

Abstract

The therapeutic potential of meditation for physical and mental well-being is well documented, however the possibility of adverse effects warrants further discussion of the suitability of any particular meditation practice for every given participant. This concern highlights the need for a personalized approach in the meditation practice adjusted for a concrete individual. This can be done by using an objective screening procedure that detects the weak and strong cognitive skills in brain function, thus helping design a tailored meditation training protocol. Quantitative electroencephalogram (qEEG) is a suitable tool that allows identification of individual neurophysiological types. Using qEEG screening can aid developing a meditation training program that maximizes results and minimizes risk of potential negative effects. This brief theoretical–conceptual review provides a discussion of the problem and presents some illustrative results on the usage of qEEG screening for the guidance of mediation personalization.

脑电图引导冥想:一种个性化的方法
冥想对身体和精神健康的治疗潜力是有据可查的,然而,不利影响的可能性值得进一步讨论任何特定冥想练习对每个给定参与者的适用性。这种关注强调了在冥想练习中针对具体个体调整个性化方法的必要性。这可以通过使用客观的筛选程序来完成,该程序可以检测大脑功能中的弱和强认知技能,从而帮助设计量身定制的冥想训练方案。定量脑电图(qEEG)是一种合适的工具,可以识别个体的神经生理类型。使用qEEG筛查可以帮助制定冥想训练计划,使效果最大化,并将潜在负面影响的风险降到最低。这篇简短的理论概念综述提供了对这个问题的讨论,并提出了一些关于使用qEEG筛选来指导调解个性化的说导性结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Physiology-Paris
Journal of Physiology-Paris 医学-神经科学
CiteScore
2.02
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Each issue of the Journal of Physiology (Paris) is specially commissioned, and provides an overview of one important area of neuroscience, delivering review and research papers from leading researchers in that field. The content will interest both those specializing in the experimental study of the brain and those working in interdisciplinary fields linking theory and biological data, including cellular neuroscience, mathematical analysis of brain function, computational neuroscience, biophysics of brain imaging and cognitive psychology.
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