Elucidation of change mechanism of electroencephalogram. An approach with model parameter estimation-

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We developed a novel method that can be used to estimate the instantaneous phases and amplitudes of the alpha rhythm with high accuracy by modeling the alpha rhythm phase and amplitude as Markov random field models. Then, advancing this method, we developed our novel statistical method that can detect phase and amplitude shifts of fluctuating alpha rhythm in a single EEG trial. We demonstrated that our advanced method could statistically detect the phase shift of the alpha rhythm caused by an external stimulus in a single EEG trial, which suggests that human EEG data include phase shifts that are not only the phase-locking type but also the non-phase-locking type in response to external stimuli.