E.P. Stankova - Post-graduate Student, Department of Human and Animal Physiology, Yaroslavl State University, Yaroslavl, Russia. E-mail: stankova-katia@yandex.ru I.U. Myshkin - Dr.Sc. (Biol.), Professor, Department of Human and Animal Physiology, Yaroslavl State University, Yaroslavl, Russia. E-mail: myshkin@uniyar.ac.ru

The aim of the study was to deduce the equation for predicting short-term memory digit span based on elec-troencephalogram (EEG) individual characteristics. The study involved 79 subjects aged 18-26 years old of both sexes. EEG was recorded in resting state with closed eyes in 16 standard sites in monopolar configuration. The magnitude of four main EEG spectral bands, the EEG pattern complexity (based on EEG correlation dimen-sion) and the manifestation of periodic and random components in the EEG signal were used as the source data for the regression analysis. We have obtained the multiple regression model to predict short-term memory digit span based on beta band power and alpha band amplitude in temporal lobes, as well as on EEG correlation di-mension (CD) in the prefrontal cortex. According to the model short-term memory digit span = 3.36-0.04*a +0.01*b +0.57*c, were a - beta band power in T5, b - maximum alpha band amplitude in T5, c - correlation dimension in Fp1. The multiple correlation coefficient was 0.38, the level of significance was p<0.008. Thus, the higher the magnitude of the EEG alpha band and EEG correlation dimension and, at the same time, the lower the magnitude of beta band of human EEG recorded in a resting state are, the greater the short-term memory digit span we have. To check the adequacy of the model building the ROC - curve was used. The area under the curve was equal to 0.84. Firstly, these estimates are consistent with the hypothesis that the value of the diversity of periodic regimes in a human electroencephalogram determines the memory span. Secondly, the research results support the idea that the alpha rhythm is necessary to combine neural ensembles, working at different frequencies and in the access to the knowledge system [1]. Thirdly, our data are also confirm Lebedev-s hypothesis that cyclically repeated wave patterns at the alpha band frequency are code elements which store a various information in human memory [3].

 

1. Myshkin I.JU., Majjorov V.V. Model dinamicheskojj kratkovremennojj pamjati // Psikhologicheskijj zhurnal. 1995. № 6. S. 83-89.
2. Svidetelstvo o gosudarstvennojj registracii programmy dlja EHVM № 2015660908. Programma dlja ocenki kognitivnykh sposobnostejj / E.P. Stankova, O.A. Dunaeva, I.JU. Myshkin, M.A. Krylov.
3. Klimesch W. Alpha-band oscillations, attention, and controlled access to stored information // Trends Cogn Sci. 2012. V. 16(12). P. 606-617.
4. Lebedev A.N. Nejjronnyjj kod // Psikhologija. 2004. № 3. S. 18-36.