EEG-guided meditation: A personalized approach

Andrew A. Fingelkurts , Alexander A. Fingelkurts , Tarja Kallio-Tamminen
{"title":"EEG-guided meditation: A personalized approach","authors":"Andrew A. Fingelkurts ,&nbsp;Alexander A. Fingelkurts ,&nbsp;Tarja Kallio-Tamminen","doi":"10.1016/j.jphysparis.2015.03.001","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":50087,"journal":{"name":"Journal of Physiology-Paris","volume":"109 4","pages":"Pages 180-190"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jphysparis.2015.03.001","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physiology-Paris","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0928425715000054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Editorial Automated detection of high-frequency oscillations in electrophysiological signals: Methodological advances Digital hardware implementation of a stochastic two-dimensional neuron model Recent progress in multi-electrode spike sorting methods Retrospectively supervised click decoder calibration for self-calibrating point-and-click brain–computer interfaces
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1