According to the theory of spatiotemporal organization of brain activity [8], [9], [10], higher-order cognitive processes and goal-directed behaviors require a dynamic integration of spatially distant brain regions into a unified functional network, and this integrative activity is supported by synchronization of neural oscillations at different frequencies. This theory distinguishes between two distinct but related aspects of neural synchrony: local or temporal phase synchronization, which is associated with neural processing within specific cortical areas, and the spatial synchronization underlying functional connectivity and information exchange between distant brain regions. In the early years of quantitative electroencephalography, it was shown that averaged sensory evoked potential waveform emerges as a result of phase resetting of the ongoing EEG oscillations with different frequencies as well as modulation of their amplitude [8], [11]. More recent research using advanced methods for time-frequency analysis of EEG time series, such as wavelet-based decomposition or Gabor transform, provided evidence that ERP waveforms can be at least partially accounted for by phase resetting of EEG oscillations [12], [13], [14], [15], [16]. It has been demonstrated that averaged scalp-recorded ERPs provides
