hummgenic changes in large scale temporal correlation of EEG in BP

In this paper we present results of detrended fluctuation analysis (DFA) on raw EEG data obtained from subjects performing Bhramari Pranayama (BP).BP is characterized by the production of low frequency humming sound like that of bumble bee by sustaining pronunciation of nasal /m/ sound while keeping ears occluded and oral cavity closed at lips. BP is effective in healing many neuronal disorders. We hypothesize that the humming sound is playing such healing role by changing brain wave patterns. The results of DFA analysis show that BP changes scaling exponents for the raw EEG data in the frontal and temporal region of the brain. Decrement in scaling exponent lowers decay of temporal correlations in data while increment in scaling exponent provides rapid decay. The estimated exponent were found to lie between 0.5 and 1.6 which also show that EEG signals are generated through fractal process and contain long range temporal correlates. It is hypothesized that the interaction of self humming and brain wave signals might be actor behind bringing good effects by BP.