Macrostate and Microstate of EEG Spatio-Temporal Nonlinear Dynamics in Zen Meditation
Pei-Chen Lo, Tian Wu, Fang-Ling Liu
Journal of Behavioral and Brain Science 2017 DOI: 10.4236/jbbs.2017.713046 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational study Peer reviewed |
|---|---|
| Intervention | Zen meditation |
| Topics | Buddhism Meditation |
| Keywords | Ministate Electroencephalography Nonlinear system Artificial intelligence Pattern recognition psychology Similarity geometry |
| Citations | 4 |
| Key findings | Zen-meditation EEG exhibits more stationary and stronger interconnectivity among frontal midline regional neural oscillators compared to resting EEG, which drifts away from the midline to inferior brain regions. |
Abstract
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.
Comparable studies
Other observational and cohort studies on buddhism, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| AN ELECTROENCEPHALOGRAPHIC STUDY ON THE ZEN MEDITATION (ZAZEN) Zen priests and disciples of Zen sects of Buddhism | 1966 | Observational study | n = 48 |
| “Thinking about Not-Thinking”: Neural Correlates of Conceptual Processing during Zen Meditation Regular Zen practitioners and matched control subjects | 2008 | Observational cohort | |
| Individual Trait Anxiety Levels Characterizing the Properties of Zen Meditation Healthy adults who had not previously practiced any form of meditation | 2004 | Observational cohort | n = 22 |
| Zen meditation, Length of Telomeres, and the Role of Experiential Avoidance and Compassion 20 Zen meditation experts and 20 healthy matched non-meditators | 2016 | Observational cohort | n = 40 |
| EEG dynamics of experienced Zen meditation practitioners probed by complexity index and spectral measure Experienced Zen meditation practitioners and matched controls | 2009 | Observational cohort | n = 46 |
Citations in the library
Cited by 2
- Mapping meditative states and stages with electrophysiology: concepts, classifications, and methods. Current Opinion in Psychology August 1, 2019
- On the Neurobiology of Meditation: Comparison of Three Organizing Strategies to Investigate Brain Patterns during Meditation Practice Medicina December 18, 2020
Cites 12
- Mental Training Enhances Attentional Stability: Neural and Behavioral Evidence Journal of Neuroscience October 21, 2009
- Mindfulness-Based Stress Reduction, Mindfulness-Based Cognitive Therapy, and Zen Meditation for Depression, Anxiety, Pain, and Psychological Distress Journal of Psychiatric Practice July 1, 2012
- EEG oscillatory states as neuro-phenomenology of consciousness as revealed from patients in vegetative and minimally conscious states. Consciousness and Cognition March 1, 2012
- EEG Alpha Blocking Correlated with Perception of Inner Light During Zen Meditation The American Journal of Chinese Medicine 2003
- Long-term meditation training induced changes in the operational synchrony of default mode network modules during a resting state. Cognitive Processing February 1, 2016
and 7 more in the library