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What it means to be Zen: marked modulations of local and interareal synchronization during open monitoring meditation.

Anne Hauswald, Teresa Übelacker, Sabine Leske, Nathan Weisz

Neuroimage January 3, 2015 DOI: 10.1016/j.neuroimage.2014.12.065 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study Peer reviewed
Sample size 11
Population Meditators with varying degrees of meditation experience
Intervention Zen meditation
Measures Mindfulness Attention and Awareness Scale (MAAS)
Topics Meditation Buddhism
Keywords Humans Electroencephalography Brain mapping Signal processing, computer-assisted Adult Middle aged Female EEG Oscillations Graph theory High-frequency gamma
Key findings Mindfulness scores correlated with gamma power during meditation, particularly high-frequency gamma (100-245 Hz), with higher mindfulness linked to increased gamma in cingulate and somatosensory cortices. In the 160-170 Hz range, higher mindfulness was associated with lower small-worldness and reduced global and local clustering in paracentral, insular, and thalamic regions. The authors suggest these patterns reflect state changes induced by Zen meditation.

Abstract

Experienced meditators are able to voluntarily modulate their state of consciousness and attention. In the present study, we took advantage of this ability and studied brain activity related to the shift of mental state. Electrophysiological activity, i.e. EEG, was recorded from 11 subjects with varying degrees of meditation experience during Zen meditation (a form of open monitoring meditation) and during non-meditation rest. On a behavioral level, mindfulness scores were assessed using the Mindfulness Attention and Awareness Scale (MAAS). Analysis of EEG source power revealed the so far unreported finding that MAAS scores significantly correlated with gamma power (30-250Hz), particularly high-frequency gamma (100-245Hz), during meditation. High levels of mindfulness were related to increased high-frequency gamma, for example, in the cingulate cortex and somatosensory cortices. Further, we analyzed the relationship between connectivity during meditation and self-reported mindfulness (MAAS). We found a correlation between graph measures in the 160-170Hz range and MAAS scores. Higher levels of mindfulness were related to lower small worldedness as well as global and local clustering in paracentral, insular, and thalamic regions during meditation. In sum, the present study shows significant relationships of mindfulness and brain activity during meditation indicated by measures of oscillatory power and graph theoretical measures. The most prominent effects occur in brain structures crucially involved in processes of awareness and attention, which also show structural changes in short- and long-term meditators, suggesting continuative alterations in the meditating brain. Overall, our study reveals strong changes in ongoing oscillatory activity as well as connectivity patterns that appear to be sensitive to the psychological state changes induced by Zen meditation.

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

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