<meta charset="utf8"></head><body>用 EEG 和 fMRI 解码宗教诵经期间的大脑活动

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	<li>Gao, J., Leung, H. K., Wu, B. W. Y., Skouras, S., Sik, H. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+neurophysiological+correlates+of+religious+chanting.">The neurophysiological correlates of religious chanting.</a> Sci Rep. 9 (1), 4262 (2019).</li><li>Sik, H. H., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Modulation+of+the+neurophysiological+response+to+fearful+and+stressful+stimuli+through+repetitive+religious+chanting.">Modulation of the neurophysiological response to fearful and stressful stimuli through repetitive religious chanting.</a> J Vis Exp. 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H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Randomized+Controlled+Trial+of+Awareness+Training+Program+(ATP),+a+Group-Based+Mahayana+Buddhist+Intervention.">A Randomized Controlled Trial of Awareness Training Program (ATP), a Group-Based Mahayana Buddhist Intervention.</a> Mindfulness. 10, 1280-1293 (2019).</li><li>Gomes, B. A., Plaska, C. R., Ortega, J., Ellmore, T. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+simultaneous+EEG-fMRI+study+of+thalamic+load-dependent+working+memory+delay+period+activity.">A simultaneous EEG-fMRI study of thalamic load-dependent working memory delay period activity.</a> Front Behav Neurosci. 17, 1132061 (2023).</li><li>Gao, J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Repetitive+religious+chanting+modulates+the+late-stage+brain+response+to+fear-and+stress-provoking+pictures.">Repetitive religious chanting modulates the late-stage brain response to fear-and stress-provoking pictures.</a> Front Psychol. 7, 2055 (2017).</li><li>Ciccarelli, G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Simultaneous+real-time+EEG-fMRI+neurofeedback:+A+systematic+review.">Simultaneous real-time EEG-fMRI neurofeedback: A systematic review.</a> Front Hum Neurosci. 17, 1123014 (2023).</li><li>Abreu, R., Nunes, S., Leal, A., Figueiredo, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Physiological+noise+correction+using+ECG-derived+respiratory+signals+for+enhanced+mapping+of+spontaneous+neuronal+activity+with+simultaneous+EEG-fMRI.">Physiological noise correction using ECG-derived respiratory signals for enhanced mapping of spontaneous neuronal activity with simultaneous EEG-fMRI.</a> Neuroimage. 154, 115-127 (2017).</li></ol>

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>3.0 T Philips MRI scanner</td>
			<td>Philips</td>
			<td>3.0T</td>
			<td>MRI data acquisition device</td>
		</tr>
		<tr>
			<td>EEGLAB</td>
			<td>Swartz Center for Computational Neuroscience</td>
			<td>13.6.5b</td>
			<td>EEG analysis software</td>
		</tr>
		<tr>
			<td>Electroencephalogram (EEG) system</td>
			<td>Electrical Geodesics, Inc. (EGI)</td>
			<td>GES 200</td>
			<td>EEG acquisition device</td>
		</tr>
		<tr>
			<td>HRVAS</td>
			<td>Ramshur, J.</td>
			<td>Version 1</td>
			<td>Plug-in for EEGLAB to process ECG data</td>
		</tr>
		<tr>
			<td>HydroCel GSN 128 channels</td>
			<td>Electrical Geodesics, Inc. (EGI)</td>
			<td>GSN 130</td>
			<td>EEG cap</td>
		</tr>
		<tr>
			<td>iMac 27&#34;</td>
			<td>Apple</td>
			<td>Version 10.8</td>
			<td>Running the Netstation software</td>
		</tr>
		<tr>
			<td>LabChart</td>
			<td>ADInstruments</td>
			<td>Version 8</td>
			<td>Physiological data acquisition software</td>
		</tr>
		<tr>
			<td>LIPSIA</td>
			<td>Max-Planck-Institute for Human Cognitive and Brain Sciences</td>
			<td>Version 2.2.7</td>
			<td>fMRI data analysis software</td>
		</tr>
		<tr>
			<td>Matlab</td>
			<td>MathWorks</td>
			<td>R2011a</td>
			<td>EEGLAB is based on Matlab, statistical analysis tool for EEG data</td>
		</tr>
		<tr>
			<td>Netstation</td>
			<td>Electrical Geodesics, Inc. (EGI)</td>
			<td>Version 3</td>
			<td>EEG acquisition software</td>
		</tr>
		<tr>
			<td>PowerLab 8/35</td>
			<td>ADInstruments</td>
			<td>PL3508</td>
			<td>Physiological data acquisition hardware</td>
		</tr>
		<tr>
			<td>SPSS</td>
			<td>IBM</td>
			<td>Version 27</td>
			<td>Statistical analysis tool for behavior and EEG ROI data</td>
		</tr>
		<tr>
			<td>Windows PC</td>
			<td>Dell</td>
			<td>Version 8</td>
			<td>Running the LabChart software</td>
		</tr>
	</tbody>
</table>

religious chanting and self-related brain regions: a multi-modal neuroimaging study

Religious chanting, a very popular practice in Eastern cultures, is often compared to prayer in Western societies1. Despite its prevalence, scientific research on the neural correlates of religious chanting remains rather limited. Sophisticated multimodal electrophysiological and neuroimaging techniques were utilized in this study to fill this knowledge gap and to explore the neural associations of chanting Amit&#257;bha Buddha, one of the most widespread and one of the oldest actively preserved religious traditions2,3. Repetitive religious chanting can serve as an effective technique in Buddhist counseling to help soothe one&#39;s mind from turbulent thoughts and emotions.
Given the high spatial resolution of functional magnetic resonance imaging (fMRI), it can be applied to overcome the limitations of traditional EEG studies4. Combining fMRI&#160;and electroencephalogram (EEG) source clustering via independent component analysis (ICA), the study identifies and groups independent components of brain activity across participants. This method introduces a novel strategy for identifying signals from mixed EEG sources or disparate sources across participants, which has been challenging due to differences in brain anatomy and electrode placement.
The form of repetitive religious chanting that was studied with this protocol involves repetitive recitation of the name of Amit&#257;bha Buddha. It is also a meditative practice that has been reported to elicit blissful sensations and transcendental experiences. Amongst different Buddhist practices, the practice of chanting&#160;Amit&#257;bha Buddha is&#160;simple and easily accessible. This practice promises rebirth in the Pure Land for all those who sincerely call upon this name, which has similarities to certain traditions in Western religion1,3.
Through multimodal neuroimaging, this study aims to provide a comprehensive understanding of the neural correlates of repetitive religious chanting. The protocol can contribute to the booming field of research on the neurophysiological effects of different religious and meditative practices.
The study hypothesized that repetitive religious chanting would lead to significant signal changes in brain regions responsible for self-related processes. Furthermore, given the positive emotions attributed to Amit&#257;bha Buddha, we hypothesized that emotional shifts would transpire during religious chanting. These effective changes are likely to coincide with modifications in peripheral physiological indicators, such as variations in multi-band heart rate variability (HRV) indices and respiration rate5.

<meta charset="utf8"></head><body>作者聚焦：探索与宗教吟诵相关的动态神经变化

宗教诵经和自相关脑区：一项多模态神经影像学研究

Our research explore the neurophysiological correlates of religious chanting using multimodal neuroimaging techniques. We aim to uncover the brain region and the neural processes involved in repetitive religious chanting and how they differ from non-religious chanting and resting state. Recent studies have began to investigate the effect of various meditative and religious practices on the brain using advanced neuroimaging methods.These developments have shed lights on the neural mechanisms underlying the potential therapeutic benefits of such practices. Our study combine high-density electroencephalogram, EEG, functional magnetic resonance imaging, fMRI, and physiological measures like electrocardiogram, ECG. This cutting-edge neuroimaging and electrophysiological technologies has enabled us to capture the dynamic neural and bodily changes associated with religious chanting in great detail.Although religious chantings and prayers are extremely popular in both eastern and western cultures, spanning ancient to modern times, there is a scarcity of scientific research on this topic. Our research addresses this research gap and uncover potential applications of religious chanting in the context of psychological counseling. Compared to single-modality techniques, our protocol uses fMRI and eigenvector centrality mapping to guide EEG source localization, therefore enhancing spatial accuracy.In addition, measuring heart rate variability alongside with brain activity provides a more comprehensive understanding of religious chanting's effect on stress reduction and cardiovascular stability.

This protocol presents a multi-modal neuroimaging approach to explore the potential brain activity associated with repetitive religious chanting, a ...

religious-chanting-self-related-brain-regions-multi-modal

Research

JoVE Journal

Neuroscience

Religious Chanting and Self-Related Brain Regions: A Multi-Modal Neuroimaging Study

375 次观看.  The University of Hong Kong. 我们的研究使用多模态神经成像技术探索宗教吟诵的神经生理学相关性。我们的目标是揭示重复宗教吟诵所涉及的大脑区域和神经过程，以及它们与非宗教吟诵和休息状态有何不同。最近的研究开始使用先进的神经影像学方法调查各种冥想和宗教活动对大脑的影响。这些发展揭示了这种做法潜在治疗益处背后的神经机制。我们的研究结合了高密...