In this paper, we analyze the inter-layer connectivity of multiplex functional network of the brain, where each layer represent the separate timescale. For this task we conduct the EEG experiments, which involve the solving of Schulte tables, the widespread psycological test. Using the wavelet bicoherence we reconstruct the functional network on various frequency bands of brain activity, that allows us to build multiplex functional network. Using the concept of betweenness centrality we analyze the inter-layer interaction in the brain functional network and reveal the regions, which demonstrate maximal inter-layer activity.
In this paper we found a correlation between the characteristics of a person revealed in classical psychological testing on the basis of Schulte tables, and its neurophysiological features of the functioning of the brain obtained from the time-frequency analysis of EEG. The results obtained are interesting from the point of view of the choice of training strategies for a particular individual. We believe that the obtained results are of interest for fundamental science and applied works of psychological testing and diagnostics. The study of such forming strategies on EEG data can be automated and do not require the work of highly skilled psychologists.
In this paper we study the correlation between the neurophysiological processes and personal characteristics arising in the processes of human higher mental functions. We find that the activity of the brain correlates with the results of psychological tests (according to the Cattell test). Experimental studies and math processing are described for operation design with the registration of human multi-channel EEG data in two phases (the processes of passive wakefulness (background) and special psychological testing (active phase)).