Perception of own and another face: multianalysis approach of eeg data

This article presents a study of differences in the perception of own and another face using an integrated approach to the analysis of EEG data. Healthy volunteers were offered a series of pre-processed and unified photographs of their own and another face. We used variable methods of EEG analysis: evoked potentials (ERP), the method of analyzing the spectral power of the EEG, as well as nonlinear EEG indicators such as fractal dimension, envelope frequency and Hjorth complexity. It was found that during perception of own face compared to another face, the power of slow-wave activity was higher, the power of alpha and beta rhythms was lower, the amplitude of the P100 component was lower, the amplitude of the late positive component was higher, and the values of all investigated nonlinear parameters of EEG were higher. The obtained results and applied techniques for analyzing EEG data will be used in the future to study the pathology of self-identification in patients with brain lesions.