Human brain rhythms emerge from synchronized neural activity, detectable via EEG (electroencephalogram) as oscillatory patterns across different frequency bands (delta, theta, alpha, beta, gamma etc.). These brain rhythms are strongly influenced by external stimuli like music, dance, and visual arts, yet the impact of musical rhythms—especially symmetric (e.g., 3/3, 4/4) versus asymmetric (e.g., 3/2/2, 2/3) patterns—on EEG dynamics remains underexplored. This study aims to investigate how variations in rhythmic patterns commonly found in Indian music and their tempo affect brain activity in musicians versus non-musicians, using metronome clicks to isolate rhythmic effects from timbre or pitch of various musical instruments. EEG data from 10 participants (5 musicians, 5 non-musicians) were recorded using a 14-channel Emotiv EPOC X EEG system while they listened to four (two symmetric and two asymmetric) different rhythmic patterns of varying tempo (40–240 BPM). Recorded EEG signals were divided into various brain frequency bands using wavelet transform and detrended fuctuation analysis (DFA) was used to quantify long-range temporal correlations (LRTCs), where a scaling exponent (α > 0.5) indicates persistent neural activity. Key findings indicate that with varying tempo for each rhythm pattern, a more synchronous variation in DFA scaling exponents was observed in both alpha and theta EEG frequency bands among the chosen frontal, temporal, and occipital electrodes for musicians compared to the non-musicians, more so for the symmetric beat patterns. These findings highlight how musical training shapes rhythm perception in music, especially in the context of Indian music. Further exploration in this domain could deepen understanding of the role of rhythm in neurocognition of music, with future implications for emotion regulation and therapeutic applications.