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

Area of Science:

• Neuroscience
• Psychology
• Maternal Health

Background:

• Stress is a significant concern for expectant mothers.
• Meditation and other therapies are explored for stress reduction.
• Electroencephalography (EEG) is crucial for understanding relaxation effects.

Purpose of the Study:

• To investigate the immediate neuro-physiological effects of auditory stimuli on pregnant women.
• To focus on EEG responses during meditation (M), not just after (AM).
• To emphasize the significance of EEG readings during M.

Main Methods:

• Utilized a novel REA (R-score, EEG, Artificial Neural Network) classification model.
• Compared the REA model against the conventional Artificial Neural Network (ANN) approach.
• Analyzed EEG data from pregnant participants during and after meditation.

Main Results:

• EEG during meditation (M) showed more significant statistical features than EEG after meditation (AM).
• Short audio interventions effectively induced relaxation.
• Specific EEG channels (CFz, F8, CP2) achieved 100% accuracy in recognizing meditative states during M.

Conclusions:

• EEG monitoring during meditation offers crucial insights into prenatal stress reduction.
• Short auditory interventions show potential as a tool in prenatal care.
• Further research into the neuro-physiological effects of meditation is warranted.