Cognitive load change the betweenness centrality in human EEG records
K.S. Sergeev1, M.O. Zhuravlev1,3, D.S. Morev2, A.E. Runnova1,2,3
1Saratov State University, Saratov, Russia; 2Saratov State Medical University named after V. I. Razumovsky, Saratov, Russia; 3Federal State Budgetary Institution National Medical Research Center for Therapy and Preventive Medicine of the Ministry of Healthсare of the Russian Federation, Moscow,Russia
Abstract
A method for calculating the betweenness centrality of EEG based on wavelet bicoherence is considered. It has been established that during cognitive load in some frequency bands the significant changes in the betweenness centrality occur. In delta-waves in phases with cognitive load the betweenness centrality increases compared to the rest phases. This change is most noticeable when considering the signals of the right and left hemispheres. In the alpha and beta waves, the betweenness centrality in the cognitive load phases is noticeably less than in the rest phase. The difference in the betweenness centrality is most clearly seen in the alpha wave, both in the motor cortex and in the other leads.
Developed method allows us to construct a classifier that distinguishes the state of rest from the state of solving any cognitive task on the basis of the degree of betweenness centrality. Such a classifier can be used, for example, in the development of brain-computer neural interfaces as a test system that determines whether a person is currently solving a certain task or is resting and ignoring the task. At the same time, it is not possible to distinguish different types of cognitive load.
Speaker
Konstantin Sergeev
Saratov State University
Russia
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