Literature DB >> 25805441

EEG-guided meditation: A personalized approach.

Andrew A Fingelkurts1, Alexander A Fingelkurts2, Tarja Kallio-Tamminen3.   

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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain; Cognitive processes; Electroencephalogram (EEG); Meditation; Mind–body practice; Physical well-being; Yoga

Mesh:

Year:  2015        PMID: 25805441     DOI: 10.1016/j.jphysparis.2015.03.001

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  5 in total

1.  Long-term meditation training induced changes in the operational synchrony of default mode network modules during a resting state.

Authors:  Andrew A Fingelkurts; Alexander A Fingelkurts; Tarja Kallio-Tamminen
Journal:  Cogn Process       Date:  2015-11-02

2.  Analysis of heart rate signals during meditation using visibility graph complexity.

Authors:  Mahda Nasrolahzadeh; Zeynab Mohammadpoory; Javad Haddadnia
Journal:  Cogn Neurodyn       Date:  2018-08-27       Impact factor: 5.082

3.  Commentary: Patanjali and neuroscientific research on meditation.

Authors:  J Shashi Kiran Reddy; Sisir Roy
Journal:  Front Psychol       Date:  2018-02-27

Review 4.  Beyond the veil of duality-topographic reorganization model of meditation.

Authors:  Austin Clinton Cooper; Bianca Ventura; Georg Northoff
Journal:  Neurosci Conscious       Date:  2022-10-11

Review 5.  EEG Derived Neuronal Dynamics during Meditation: Progress and Challenges.

Authors:  Chamandeep Kaur; Preeti Singh
Journal:  Adv Prev Med       Date:  2015-12-06
  5 in total

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