Evaluating Brain Activity in Response to Short Meditation Stimuli Using R-Score, Electroencephalography, and Neural Networks.

Background: Stress is a major problem in today's culture, especially for expectant mothers. Newer therapies that show promising avenues for the reduction of stress include sound therapy, yoga, mantra chanting, and meditation (M). Electroencephalography (EEG) electroencephalography plays an important role in understanding the relaxation effects caused by these practices. Purpose: This study looks at the immediate neuro-physiological effects of brief auditory stimuli on pregnant participants, focusing on EEG responses during and after meditation (AM). Unlike the literature that has focused on AM, the significance of EEG readings during M is emphasised. Methods: The new classification model, namely REA (R-score, EEG and Artificial Neural Network [ANN]) was employed for the analysis against the conventional approach of ANN. Results: The statistical feature analysis showed in M EEG more significant than AM EEG. The results indicated that short audio interventions can be used to induce relaxation, and the identified EEG channels of CFz (frontal midline), F8 (right frontal lobe), and CP2 (parietal lobe) resulted in 100% accuracy in recognising meditative states during M. This accuracy underlines the importance of these regions for the differentiation of the relaxation states. Conclusion: The present study offers novel insights into trimester-specific responses to brief M audio stimuli and highly underscores the crucial role of EEG monitoring in M. These results point out that short auditory interventions might serve as a useful tool in the realm of stress reduction in prenatal care and offer a future direction of research into the neuro-physiological effects of M.