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The aim of the study was to investigate the relationship between individual characteristics the electroencephalogram in the resting state and the level of non-verbal intelligence. The study involved 77 students of Yaroslavl State University. Analyzing the relationship between IQ and spectral parameters of EEG theta, alpha and two sub bands of beta oscillations, we have found out that amplitude and power of alpha band EEG oscillations and low frequency beta bend EEG oscillations were positively correlated with test performance. The variety of brain periodic regimes was assessed by using correlation dimension of EEG. The correlation dimension can be used to quantify the degree of complexity of nonlinear dynamical system. It was found to be EEG correlation dimension was positively associated with the level of intelligence. To study the periodicity of the EEG signal was used the autocorrelation EEG analysis. It was shown that autocorrelogram duration was negatively associated with non-verbal intelligence level, and autocorrelogram amplitude was positively associated with IQ. We have deduced the regression equation which allows to predict the level of non-verbal intelligence based on individual EEG characteristics.

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