EEG-guided meditation: A personalized approach

Fingelkurts, Andrew A.; Fingelkurts, Alexander A.; Kallio-Tamminen, Tarja

doi:10.1016/j.jphysparis.2015.03.001

Cited by 41 publications

(22 citation statements)

References 169 publications

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“…Maity et al (2015) showed consistent increase of multi-fractal spectra in EEG time series or increase of degree of complexity can be a parameter for quantification of well-being and an improved therapy. According to last studies, meditation with a wider spectra leads to better functions of the body and can correct some abnormal functions and health problems (Hernández et al 2018;Fingelkurts et al 2015;Travis et al 2018). The mean values of GIC for each subject for 500 points epochs: before versus during meditation (red horizontal line is the mean of all GIC values before meditation and blue horizontal line is the mean of all GIC values during meditation).…”

Section: Discussionmentioning

confidence: 99%

Analysis of heart rate signals during meditation using visibility graph complexity

2018

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In the dynamics analysis of heart rate, the complexity of visibility graphs (VGs) is seen as a sign of short term variability in signals. The present study was conducted to investigate the possible impact of meditation on heart rate signals complexity using VG method. In this study, existing heart rate signals in Physionet database were used. The dynamics of the signals were then studied both before and during meditation by examining the complexity of VGs using graph index complexity (GIC). Generally, the obtained results showed that the heart rate signals were more complex during meditation. The simple process of calculating the GIC of VG and its adaptability to the chaotic nature of the biological signals can help in estimating the heart rate complexity in meditation.

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Section: Discussionmentioning

confidence: 99%

Analysis of heart rate signals during meditation using visibility graph complexity

2018

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“…It has also been reported that meditation has an adverse effect of predisposing to epileptogenesis panic attacks, overexcited central nervous system, paradoxical rise in anxiety, becoming more hypercritical, disorientation, and high BP [ 10 ]. Regarding the use of meditation for high BP, more randomized clinical trials are required that could provide certain results [ 50 ].…”

Section: Controversial Studiesmentioning

confidence: 99%

“…A very small number of clinical applications of meditation have been identified and those too are lacking in control group and concurrent antidepressant medication group along with shorter follow-up period [ 6 , 7 ]. Albeit some progress has been made in theorizing the neurophysiological effects under meditation [ 4 , 8 – 10 ], evoked potential, and event related potential research in meditation [ 11 ], still rationale to quantitatively represent the neural effects is not clear.…”

Section: Introductionmentioning

confidence: 99%

EEG Derived Neuronal Dynamics during Meditation: Progress and Challenges

Kaur

Singh

2015

Advances in Preventive Medicine

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Meditation advances positivity but how these behavioral and psychological changes are brought can be explained by understanding neurophysiological effects of meditation. In this paper, a broad spectrum of neural mechanics under a variety of meditation styles has been reviewed. The overall aim of this study is to review existing scientific studies and future challenges on meditation effects based on changing EEG brainwave patterns. Albeit the existing researches evidenced the hold for efficacy of meditation in relieving anxiety and depression and producing psychological well-being, more rigorous studies are required with better design, considering client variables like personality characteristics to avoid negative effects, randomized controlled trials, and large sample sizes. A bigger number of clinical trials that concentrate on the use of meditation are required. Also, the controversial subject of epileptiform EEG changes and other adverse effects during meditation has been raised.

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“…Most meditation practices are aimed to better manipulate the mind, brain function and physical state through mindfulness concentration and respiratory regulation. Having been adopted as the complementary medical practices, meditation inspired more scientific studies on its physiological and mental effects [10] [11] [12]. Meditation researches are mostly focused on Yoga and transcendental meditation from India, Japanese Zen, and Tibetan Buddhism [13] [14].…”

Section: Introductionmentioning

confidence: 99%

Macrostate and Microstate of EEG Spatio-Temporal Nonlinear Dynamics in Zen Meditation

Lo¹,

Tian²,

Liu³

2017

JBBS

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Macrostate and microstate characteristics of interregional nonlinear interdependence of brain dynamics are investigated for Zen-meditation and normal resting EEG. Evaluation of nonlinear interdependence based on nonlinear dynamic theory and phase space reconstruction is employed in the 30-channel electroencephalographic (EEG) signals to characterize the functioning interactions among different local neuronal networks. This paper presents a new scheme for exploring the microstate and macrostate of interregional brain neural network interactivity. Nonlinear interdependence quantified by similarity index is applied to the phase trajectory reconstructed from multi-channel EEG. The microstate similarity-index matrix (miSIM) is evaluated every 5 millisecond. The miSIMs are classified by K-means clustering. The cluster center corresponds to the macrostate SIM (maSIM) evaluated by conventional scheme. Zen-meditation EEG exhibits rather stationary and stronger interconnectivity among frontal midline regional neural oscillators, whereas resting EEG appears to drift away more often from the midline and extend to the inferior brain regions.

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EEG-guided meditation: A personalized approach

Cited by 41 publications

References 169 publications

Analysis of heart rate signals during meditation using visibility graph complexity

Analysis of heart rate signals during meditation using visibility graph complexity

EEG Derived Neuronal Dynamics during Meditation: Progress and Challenges

Macrostate and Microstate of EEG Spatio-Temporal Nonlinear Dynamics in Zen Meditation

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