Quantitative electroencephalogram-informed geometric meditation: a pilot validation study

Objectives: The emerging neuroscience literature has provided some evidence that meditation may have measurable effects on the electrophysiological parameters in the nervous system. We hypothesized that a novel geometric meditation approach comprising Geometric Somatic-Breathing Based [GSBB] and Geometric Introspective Based [GIB] meditation yield favorable electrophysiological changes at brain's cortical level and autonomic nervous system upon deep meditative experience

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Materials and Methods: A multi-sensor digital sampling setup, including Electroencephalography [EEG], Galvanic Skin Response [GSR], and Heart Rate Variability [HRV] was used to obtain data and compare meditation and baseline epochs from 3 long-term geometric meditators

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Results: The analysis revealed a notable change in autonomic nervous response, including Root Mean Square of Successive Differences [RMSSD] in Heart Rate Variability [HRV] as well as GSR and Quantitative Electroencephalogram [QEEG] correlates across 10 practiced techniques in training and post-training as compared to the baseline state

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Conclusion: Such findings may serve as a pilot validation dataset to pursue further research on quantitative EEG-guided geometric meditation approach