Our research explore the neurophysiological correlates of religious chanting using multimodal neuro-imaging techniques. We aim to uncover the brain region and the neuro processes involved in repetitive religious chanting and how they differ from non-religious chanting and resting state. Recent studies have begun to investigate the effect of various meditative and religious practices on the brain using advanced neuroimaging methods.
These developments have shed lights on the neuro 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 neuro 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 engine factor 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. To begin, inform the selected participant about the experiment and let the subject sit comfortably on the chair for a trial run. Set up the 128-channel electroencephalogram or EEG and multiple physiological data recording equipment, according to the manufacturer's instructions.
Acquire EEG data while the participant is chanting Amitabha Buddha, chanting Santa Claus, and is in a resting state with eyes closed. Record 10 minutes of EEG data in each condition. To begin, prepare a magnetic resonance imaging or MRI scanner and test its functionality.
Set all the parameters for the T1-weighted scanning sequence. Position the participant to begin the scanning. Next, set the sequence parameters to obtain functional MRI images with gradient echo planar imaging using an 8-channel sense head coil.
Start the functional MRI data acquisition while the participant is chanting Amitabha Buddha, chanting Santa Claus, and is in a resting state. Launch the Leipzig image processing and statistical inference algorithm software. First, perform signal-intensity normalization, movement correction, and spatial normalization to MNI space.
Then, carry out spatial smoothing with full width at half maximum of six millimeters, and set the temporal high-pass filtering with a cutoff frequency of one by 90 hertz to remove low frequency drifts in the functional MRI time series. Regress out covariate of no interest, such as global signal fluctuations and movement parameters from the data for each scanning sequence corresponding to the three conditions. Finally, apply convector centrality mapping or ECM to investigate whole brain functional connectors with the most influential nodes within a network.
Subtract the ECM images of two conditions from one another to produce the contrast image. The functional MRI analysis results indicated, at the strongest difference in convector centrality between religious and non-religious chanting, was predominantly situated in the posterior cingulate cortex. Post hoc analysis showed that religious chanting induced higher delta power than non-religious chanting and resting conditions.
