Prediction of Successful Personal Cognitive Performance Based on Integrated Characteristics of Multichannel EEG

Abstract

The present study aimed to assess the possible relationship between psychometric and electroencephalographic (EEG) parameters in humans. Normalized parameters of the integrated spatial (p_S) and integrated temporal (p_T) regularities of real resting EEG with the eyes closed were calculated. The algorithm of estimation of these parameters was based on the calculation of empirical multivariate temporal structure function of the first order. It was revealed that p_S and p_T parameters varied in a specific range, which was characterized by well-defined individual configuration reflecting the variability type (spatial, temporal, or mixed) of resting EEG. Obtained p_S and p_T parameters were compared to the speed of performed cognitive activity. The cognitive tasks included nonverbal subtests of the Wechsler Adult Intelligence Scale (WAIS) including block design according to a given template and construction of an object without any template, and motor probe. The successful performance on cognitive tasks was detected to be achieved with different combinations of p_S and p_T parameters in different subjects. Thus, the same intelligence resource can probably be organized with nonlinear principle in different subjects.