Evidence map›Paper›PMID 38204769›Full record

ArticleInternational journal of yoga

Heart-brain Rhythmic Synchronization during Meditation: A Nonlinear Signal Analysis.

Shrivastava Anurag, Bikesh Kumar Singh, Dwivedi Krishna, Krishna Prasanna, Singh Deepeshwar

Abstract read
In one paragraph

Article in International journal of yoga. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shrivastava AnuragDepartment of Biomedical Engineering, National Institute of Technology, Raipur, Chhattisgarh, India.
Bikesh Kumar SinghDepartment of Biomedical Engineering, National Institute of Technology, Raipur, Chhattisgarh, India.
Dwivedi KrishnaDepartment of Yoga Life Sciences, Swami Vivekananda Yoga AnusandhanaSamsthana, Bengaluru, Karnataka, India.
Krishna PrasannaWelfare Harvesters, Bengaluru, Karnataka, India.
Singh DeepeshwarDepartment of Yoga, School of Yoga, Naturopathy and Cognitive Studies, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart-brain synchronization is the integration of mind, body, and spirit. It occurs when the electrical activity of the heart and brain is synchronized. In recent years, there has been mounting curiosity to investigate the effects of meditation on heart-brain synchronization with respect to mental and emotional health and well-being. The current investigation aims to explore the rhythmic synchronicity between the brain and the heart during heartfulness meditation (HM) practice. Materials and Methods: The study was performed on 45 healthy volunteers who were categorized into three equal groups: long-term meditators (LTMs), short-term meditators (STMs), and nonmeditators (NMs). The electroencephalogram (EEG) signals were recorded to measure the prefrontal activity, and electrocardiogram (ECG) signals were recorded to measure the cardiac activity. The data were recorded in four states: baseline, meditation, transmission, and posttransmission. The detrended fluctuation analysis (DFA) method was used for the analysis of EEG and ECG signals. Results: The result indicates that DFA values of EEG and ECG declined during meditation and transmission states as compared to pre- and postmeditation states. Significant results were obtained for the LTM group in all the states. A positive correlation was also observed between DFA of the heart and brain for the LTM group and no significant correlations were observed for the STM and NM groups. Conclusion: The shreds of evidence suggest that heart-brain synchronization facilitates mental and emotional stability. HM practice has the potential to regulate the fluctuation of the mind. Regular meditation practice may result in physiological synchrony between cardiac and neural behavior, which can be considered a quality index for meditation practice.

Indexed as

Detrended fluctuation analysiselectrocardiogramelectroencephalogramheart–brain synchronizationheartfulness meditation

Identifiers

PMID38204769
PMCPMC10775837

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.