The activities of the brain and the heart are dynamic, chaotic, and possibly intrinsically coordinated. This study aims to investigate the effect of Mindfulness-Based Stress Reduction (MBSR) program on the chaoticity of electronic activities of the brain and the heart, and to explore their potential correlation. Electroencephalogram (EEG) and electrocardiogram (ECG) were recorded at the beginning of an 8-week standard MBSR training course and after the course. EEG spectrum analysis was carried out, wavelet entropies (WE) of EEG (together with reconstructed cortical sources) and heart rate were calculated, and their correlation was investigated. We found enhancement of EEG power of alpha and beta waves and lowering of delta waves power during MBSR training state as compared to normal resting state. Wavelet entropy analysis indicated that MBSR mindfulness meditation could reduce the chaotic activities of both EEG and heart rate as a change of state. However, longitudinal change of trait may need more long-term training. For the first time, our data demonstrated that the chaotic activities of the brain and the heart became more coordinated during MBSR training, suggesting that mindfulness training may increase the entrainment between mind and body. The 3D brain regions involved in the change in mental states were identified.

Objectives This study evaluated the effectiveness of a Mahayana Buddhist teaching-and group-based intervention, the Awareness Training Program (ATP), which is textually aligned to a Mahayana Sūtra so that its theory and practice are coherent. The ATP aims to alleviate stress by enhancing participant's compassion and wisdom of nonattachment. Methods Middle-aged working adults (n = 122) in Hong Kong participated in this randomized waiting-list controlled trial. Selfreported psychological questionnaires were used to assess the participants' level of stress (PSS), sense of coherence (SOC), psychological well-being (GHQ), and nonattachment (NAS) at pretest, posttest, and 3 months later. Results The data showed significant improvements in the intervention group over the controls for all outcome measures at posttest and 3 months later (post and post-3 PSS: ηp 2 = .15 and .16; post and post-3 SOC: ηp 2 = .05 and .10; post and post-3 GHQ: ηp 2 = .16 and .13; post and post-3 NAS: ηp 2 = .17 and .14). A mediation analysis demonstrated that nonattachment mediated both the treatment and the maintenance effects for all outcome variables (post and post-3 PSS: indirect effect ab = − 1.50 and − 1.70; post and post-3 SOC: ab = 2.48 and 3.61; post and post-3 GHQ: ab = − 1.65 and − 1.56; bootstrap 95% confidence interval (CI), CI does not include zero). Conclusions The ATP may effectively reduce stress and improve a sense of coherence and psychological well-being by enhancing participants' wisdom of nonattachment. This study provides promising evidence that the ATP could be an effective intervention for middle-aged working adults.

Despite extensive research on various types of meditation, research on the neural correlates of religious chanting is in a nascent stage. Using multi-modal electrophysiological and neuroimaging methods, we illustrate that during religious chanting, the posterior cingulate cortex shows the largest decrease in eigenvector centrality, potentially due to regional endogenous generation of delta oscillations. Our data show that these functional effects are not due to peripheral cardiac or respiratory activity, nor due to implicit language processing. Finally, we suggest that the neurophysiological correlates of religious chanting are likely different from those of meditation and prayer, and would possibly induce distinctive psychotherapeutic effects.

In both the East and West, traditional teachings say that the mind and heart are somehow closely correlated, especially during spiritual practice. One difficulty in proving this objectively is that the natures of brain and heart activities are quite different. In this paper, we propose a methodology that uses wavelet entropy to measure the chaotic levels of both electroencephalogram (EEG) and electrocardiogram (ECG) data and show how this may be used to explore the potential coordination between the mind and heart under different experimental conditions. Furthermore, Statistical Parametric Mapping (SPM) was used to identify the brain regions in which the EEG wavelet entropy was the most affected by the experimental conditions. As an illustration, the EEG and ECG were recorded under two different conditions (normal rest and mindful breathing) at the beginning of an 8-week standard Mindfulness-based Stress Reduction (MBSR) training course (pretest) and after the course (posttest). Using the proposed method, the results consistently showed that the wavelet entropy of the brain EEG decreased during the MBSR mindful breathing state as compared to that during the closed-eye resting state. Similarly, a lower wavelet entropy of heartrate was found during MBSR mindful breathing. However, no difference in wavelet entropy during MBSR mindful breathing was found between the pretest and posttest. No correlation was observed between the entropy of brain waves and the entropy of heartrate during normal rest in all participants, whereas a significant correlation was observed during MBSR mindful breathing. Additionally, the most well-correlated brain regions were located in the central areas of the brain. This study provides a methodology for the establishment of evidence that mindfulness practice (i.e., mindful breathing) may increase the coordination between mind and heart activities.

No abstract