Systems and Means of Informatics
2020, Volume 30, Issue 4, pp 50-60
BIOSIGNAL STATISTICAL ANALYSIS IN THE STUDY OF HUMAN VISUAL WORKING MEMORY
- A. V. Erofeeva
- T. V. Zakharova
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.
[+] References (9)
- Velichkovsky, B. B., and S. A. Kozlovsky. 2013. Rabochaya pamyat' cheloveka: funda- mental'nye issledovaniya i prakticheskie prilozheniya [Human working memory: Fundamental researches and practical applications]. Integral [Integral] 68(6):38-40.
- Utochkin, I. S., M.A. Yurevich, and M.E. Bulatova. 2016. Zritel'naya rabochaya pamyat': metody, issledovaniya, teorii [Vision working memory: Methods, research, theory]. Rossiyskiy zh. kognitivnoy nauki [Russ. J. Cognitive Science] 3(3):58-76.
- Christophel, T. B., P. C. Klink, B. Spitzer, P. R. Roelfsema, and J. D. Haynes. 2017. The distributed nature of working memory. Trends Cogn. Sci. 21 (2): 111-124.
- Ivanitsky, A. M., A. R. Nikolaev, and G. A. Ivanitsky. 1999. Electroencephalography. Modern techniques in neuroscience research. Berlin-Heidelberg: Springer-Verlag. 971995.
- Baccala, L. A., and K. Sameshima. 2001. Partial directed coherence: A new concept in neural structure determination. Biol. Cybern. 84:463-474.
- Kurganskii, A. V. 2010. Nekotorye voprosy issledovaniya korkovo-korkovykh funktsi- onal'nykh svyazey s pomoshch'yu vektornoy avtoregressionnoy modeli mnogokanal'noy EEG [Study of cortico-cortical functional connectivity with vector autoregressive model of multichannel EEG]. Zh. vysshey nervnoy deyatel'nosti I. P. Pavlova [I. P. Pavlov J. Higher Nervous Activity] 60(6):740-759.
- Marple, S. L., Jr. 1987. Digital spectral analysis with applications. Englewood Cliffs, NJ: Prentice-Hall. 218 p.
- Ding, M., S.L. Bressler, W. Yang, and H. Liang. 2000. Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: Data preprocessing, model validation, and variability assessment. Biol. Cybern. 83 (1):35-45.
- Schlogl, A. 2000. The electroencephalogram and the adaptive autoregressive model: Theory and applications. Graz: Technischen Universitat Graz. PhD Diss. 93 p.
[+] About this article
Title
BIOSIGNAL STATISTICAL ANALYSIS IN THE STUDY OF HUMAN VISUAL WORKING MEMORY
Journal
Systems and Means of Informatics
Volume 30, Issue 4, pp 50-60
Cover Date
2020-12-10
DOI
10.14357/08696527200405
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
EEG; functional connectivity; vision working memory; PDC; VAR-model; Wilcoxon signed-rank test; Granger causality
Authors
A. V. Erofeeva  and T. V. Zakharova , 
Author Affiliations
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
Institute of Informatics Problems, Federal Research Center "Computer Science
and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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