Why the study?
This study investigated the effects of meditation on human physiological processes, including EEG and ECG dynamics, using a non-Markovian quantum-like approach compatible with self-organization and the breakdown of ergodicity.
Does Naam Jap meditation alter the scaling exponent δ and complexity index μ of brain (EEG) and heart (ECG) dynamics compared to pre- and post-meditation states in healthy adults?
Does Naam Jap meditation alter the scaling exponent δ and complexity index μ of brain (EEG) and heart (ECG) dynamics compared to pre- and post-meditation states in healthy adults?
Answers are grounded in this paper and cite their sources.
This hypothesis and theory paper demonstrates that Naam Jap meditation induces neural and cardiac coherence in the perennial non-ergodic regime (μ < 2) and enhances post-meditation physiological complexity.
This article investigates the effects of meditation on human physiological processes using a non-Markovian quantum-like approach compatible with self-organization and the breakdown of ergodicity of ordinary statistical physics. According to the theory of self-organization, these processes are nonergodic and exhibit finite survival. Their scaling behavior is characterized by the parameter δ , ranging from a minimal value of δ = 0 to a maximal value of δ = 1 . The condition of maximal cognition, δ = 1 , represents an idealized limit, as suggested by the relation μ R = 2 − δ , corresponding to unbounded survival ( μ R = 1 ) . Meditation appears to reduce the scaling exponent δ during the meditative state while promoting neural coherence, a property that, in the case of Naam Jap meditation, is attributed entirely to crucial events. During Naam Jap meditation, the decrease in δ is observed in both brain and heart dynamics and is accompanied by enhanced brain–heart complexity synchronization. Following this meditation-induced coherent state, δ increases above its pre-meditation value, with group-level statistical analysis supporting this increase in both electroencephalogram (EEG) and electrocardiogram (ECG) dynamics, suggesting a post-meditation enhancement of physiological complexity. These results further suggest that the scaling exponent δ depends on an inverse power-law index μ , following δ = μ − 1 for μ < 2 and δ = 1 / ( μ − 1 ) for μ > 2 , with δ = 0.5 for μ > 3 . We focus on the μ < <m
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Poudel et al. (2026) studied Physiological complexity and brain-heart dynamics during meditation (n=9). Naam Jap meditation vs. Pre-meditation and post-meditation resting conditions (within-subject comparison) was evaluated on Scaling exponent (δ) and inverse power-law complexity index (μ) of EEG and ECG dynamics.
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