Empirical Acoustic, EEG, and fNIRS Modeling of Neural Entrainment and Regulatory Stabilization Induced by Recursive Ram Mantra

Rhythmic acoustic stimulation can entrain neural oscillations and modulate cortical regulatory dynamics, but the influence of acoustic signal structure on neural entrainment efficiency remains incompletely understood. Here, we investigated the acoustic and neurophysiological regulatory properties of a recursive Sanskrit mantra राम रमे, मन राम रमे, रमे राम में नाम, रमते रमते राम रमे, रमे नाम में राम referred as Ram mantra in the text (created by Dr Sonali Mohan), using integrated empirical signal analysis and computational electrophysiological and hemodynamic modeling. Acoustic waveform and spectral analyses revealed low spectral entropy, high harmonic coherence, and stable temporal periodicity, indicating highly predictable oscillatory structure. Spectrogram and fundamental frequency analyses confirmed consistent harmonic organization across repetition cycles. Computational electroencephalographic modeling demonstrated increased alpha–theta oscillatory dominance and reduced beta activity, consistent with enhanced neural synchronization and reduced stress-associated cortical activation. Concurrent computational functional near-infrared spectroscopy modeling demonstrated increased simulated oxyhemoglobin concentration and enhanced neurovascular coupling in prefrontal cortical regions associated with regulatory control. Neural coherence and hemodynamic stability indices indicated improved regulatory efficiency relative to baseline conditions. These findings demonstrate that recursive acoustic structure provides highly stable oscillatory input capable of facilitating neural entrainment and cortical regulatory stabilization. This study establishes a quantitative framework linking acoustic signal structure to neural regulatory dynamics and provides mechanistic insight into auditory-driven neural entrainment and cortical stability. Recursive Ram mantra structure generates highly predictable acoustic oscillations that computational modeling indicates can entrain neural dynamics and enhance cortical regulatory stability through increased oscillatory coherence and neurovascular coupling.