A. V. Erofeeva, T. V. Zakharova, “Biosignal statistical analysis in the study of human visual working memory”, Sistemy i Sredstva Inform., 2020, Volume 30, Issue 4,Pages <nobr>50

Biosignal statistical analysis in the study of human visual working memory

A. V. Erofeeva^a, T. V. Zakharova^ab

^a Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, 1-52 Leninskie Gory, GSP-1, Moscow 119991, Russian Federation
^b Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation

Abstract: The article is devoted to EEG (electroencephalography) studying of connectivity of cortical areas involved in keeping vision information in the working memory. There was used VAR-modeling for describing signals got from connected with working memory brain zones. Brain connections were estimated the based on Granger Causality Partial Directed Coherence (PDC) and then compared by Wilcoxon signed-rank test. Connection intensity dependence on the executing task was found.

Keywords: EEG, functional connectivity, vision working memory, PDC, VAR-model, Wilcoxon signed-rank test, Granger causality.

Received: 03.06.2020

DOI: 10.14357/08696527200405