Literature DB >> 25354314

Improved emotional stability in experienced meditators with concentrative meditation based on electroencephalography and heart rate variability.

Yu-Hao Lee1, Yung-Jong Shiah, Sharon Chia-Ju Chen, Shih-Feng Wang, Ming-Shing Young, Chih-Lung Lin.   

Abstract

OBJECTIVE: To determine whether emotional stability distinguishes how experienced and novice meditators react to visual stimuli.
DESIGN: PARTICIPANTS practiced concentrative meditation and then responded to visual stimuli while continuing to meditate. PARTICIPANTS: Ten experienced and 10 novice meditators responded to sequences of visual stimuli after concentrative meditation.
RESULTS: As predicted, both groups had increased parasympathetic activities during concentrative meditation. Experienced meditators had increased low-frequency electroencephalography (EEG) rhythms in response to visual stimulation, whereas novices had increased high-frequency EEG rhythms. Correlational analyses revealed that novice meditators changed from a meditative state to a nonrelaxed state when the visual stimuli were presented, whereas experienced meditators maintained the meditative state.
CONCLUSION: The study provides evidence that regular concentrative meditation can improve emotional stability and that recording physiologic responses to visual stimuli can be a good method for identifying the effects of long-term concentrative meditation practice.

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Year:  2014        PMID: 25354314     DOI: 10.1089/acm.2013.0465

Source DB:  PubMed          Journal:  J Altern Complement Med        ISSN: 1075-5535            Impact factor:   2.579


  6 in total

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4.  From Self to Nonself: The Nonself Theory.

Authors:  Yung-Jong Shiah
Journal:  Front Psychol       Date:  2016-02-04

5.  Online Training in Mind-Body Therapies: Different Doses, Long-term Outcomes.

Authors:  Kathi J Kemper; Nisha Rao; Gregg Gascon; John D Mahan
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6.  A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers.

Authors:  Yu-Hao Lee; Ya-Ju Hsieh; Yung-Jong Shiah; Yu-Huei Lin; Chiao-Yun Chen; Yu-Chang Tyan; JiaCheng GengQiu; Chung-Yao Hsu; Sharon Chia-Ju Chen
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

  6 in total

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