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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2020, Volume 30, Issue 4, Pages 50–60
DOI: https://doi.org/10.14357/08696527200405 (Mi ssi734) 		 
Biosignal statistical analysis in the study of human visual working memory

A. V. Erofeevaa, T. V. Zakharovaab

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
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DOI: https://doi.org/10.14357/08696527200405
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.
Funding agency Grant number
Russian Foundation for Basic Research 18-07-00252
Moscow Center of Fundamental and Applied Mathematics
The work was partly supported by the Russian Foundation for Basic Research (project 18-07-00252). The research was conducted in accordance with the program of the Moscow Center for Fundamental and Applied Mathematics.
Received: 03.06.2020
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Erofeeva, T. V. Zakharova, “Biosignal statistical analysis in the study of human visual working memory”, Sistemy i Sredstva Inform., 30:4 (2020), 50–60
Citation in format AMSBIB
\Bibitem{EroZak20}
\by A.~V.~Erofeeva, T.~V.~Zakharova
\paper Biosignal statistical analysis in the study of human visual working memory
\jour Sistemy i Sredstva Inform.
\yr 2020
\vol 30
\issue 4
\pages 50--60
\mathnet{http://mi.mathnet.ru/ssi734}
\crossref{https://doi.org/10.14357/08696527200405}
\elib{https://elibrary.ru/item.asp?id=44264277}
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    		Системы и средства информатики
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