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Pei-Chen Lo

7 papers in the library · 83 citations · publishing 2003-2021

Papers

EEG Alpha Blocking Correlated with Perception of Inner Light During Zen Meditation

The American Journal of Chinese Medicine January 1, 2003 Pei-Chen Lo, Ming-Liang Huang, Kang-Ming Chang 64 citations

Based on experimental results and practitioners' subjective experience, hypotheses are proposed to account for meditative phenomena in Zen-Buddhist practice. Orthodox practitioners aiming to prove the most original true-self discover inner energy or light, perceived as resonance, which optimizes physiological and mental health. In a meditation experiment, a significant correlation was observed between perception of inner light and EEG alpha blockage. During a blessing unknown to subjects, significant alpha blocking occurred in those who had meditated for years to resonate with inner light. This offers new insight into how meditation benefits health.

MEDITATION EEG INTERPRETATION BASED ON NOVEL FUZZY-MERGING STRATEGIES AND WAVELET FEATURES

Biomedical Engineering Applications Basis and Communications August 25, 2005 Kang-Ming Chang, Pei-Chen Lo 14 citations

Meditation alters brain electrical activity in ways that can be detected with EEG. This paper introduces a new automated method for scoring meditation stages from EEG recordings, using wavelet analysis and fuzzy c-means clustering with novel cluster-management strategies to produce interpretations that more closely match expert visual inspection. The resulting gray-scale chart of EEG features reveals five distinct meditation scenarios that differ from those of control subjects.

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

Journal of Behavioral and Brain Science January 1, 2017 Pei-Chen Lo, Tian Wu, Fang-Ling Liu 4 citations

During Zen meditation, the brain's frontal midline regions show more stable and stronger neural interconnectivity compared to normal resting states. Using 30-channel EEG recordings, the study analyzed nonlinear interdependence between brain regions by reconstructing phase trajectories and computing similarity-index matrices every 5 milliseconds. These microstate matrices were classified into macrostates via K-means clustering. Zen-meditation EEG exhibited stationary and robust coupling among frontal midline neural oscillators, while resting EEG showed connectivity that drifted more frequently from the midline and extended to inferior brain regions.

Comparison of Spatio-Spectral Properties of Zen-Meditation and Resting EEG Based on Unsupervised Learning

Journal of Behavioral and Brain Science January 1, 2021 Pei-Chen Lo, Nasir Hussain 1 citation

During Zen meditation, practitioners focus on three brain regions simultaneously, producing widespread high-frequency brainwave activity above 16 Hz, in contrast to resting EEG which is dominated by lower frequencies around 14.4 Hz. Using an unsupervised machine learning technique called self-organizing maps on EEG data from 30 participants, the study found that Zen meditation EEG shows globally high-frequency oscillations throughout the recording. The authors note that while beta waves are typically associated with active concentration, they are also induced by benzodiazepine medications for anxiety and insomnia. They hypothesize that Zen practitioners achieve a unique state of mindful concentration combined with optimal body-mind relaxation.

Cross-Bifrequency Analysis of Cardiorespiratory Interactions at Rest and Zen Meditation

International Conference on Systems and Informatics November 1, 2019 Pei-Chen Lo, Yizhou Wu

A modified self-organizing map (IwSOM) that weights input features differently is used to analyze cross-bifrequency maps of heart rate and respiration during Zen-meditation and resting states. The cross-bispectral analysis quantifies quadratic phase coupling between cardiac and respiratory oscillators. IwSOM classification shows that the rest session of the control group is characterized by coupling frequencies where respiratory rate resonates with heart rate at 0.05 Hz. Zen-meditation exhibits strong resonance between heart rate and respiration in the same low frequency range, indicating distinct cardiorespiratory interaction patterns during meditation compared to rest.

Variation Analysis of Sphygmogram to Assess Cardiovascular System under Meditation.

Evidence-based complementary and alternative medicine : eCAM March 1, 2009 Chuan-Yi Liu, Ching-Chuan Wei, Pei-Chen Lo

Zen-meditation practitioners showed greater increases in blood-pressure-waveform parameters reflecting heart ejection ability, aorta compliance, arterial elasticity, and aortic valve function, along with a greater decrease in a parameter indicating peripheral resistance, compared to a control group. All changes were statistically significant. The authors infer that Zen meditation may effectively improve characteristics of the cardiovascular system.

Inward-attention meditation increases parasympathetic activity: a study based on heart rate variability.

Biomedical research (Tokyo, Japan) October 1, 2008 Shr-Da Wu, Pei-Chen Lo

Inward-attention meditation, a technique practiced in Zen that focuses attention inward rather than on slow breathing, shifts the autonomic nervous system toward greater parasympathetic activity. Experienced meditators showed a decrease in the LF/HF ratio and LF norm and an increase in HF norm compared to non-meditators during rest, indicating improved sympathovagal balance. Regular oscillating rhythms of heart rate appeared in the high-frequency band of heart rate variability when the LF/HF ratio was small, a pattern previously observed only in the low-frequency band during slow breathing. These oscillations had smaller amplitude in the high-frequency band.