Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition

Irina Knyazeva, Boytsova Yulia, Sergey Danko, Nikolay Makarenko

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Modern neuroimaging studies have shown that there are significant differences in the brain activity zones during resting states with open and closed eyes in light and dark circumstances. Our previous EEG studies also showed that these states demonstrate differences in the power spectrum and between-channel coherence, both in light and dark conditions. This work continues our previous studies. Here we increased the group of subjects and focused on the estimation of changes in the spatial between-channel coherence. We explored the following conditions: the resting state with closed eyes in the dark, the resting state with opened eyes in the dark, and the resting state with opened eyes in the light with eyes focused on the screen. To characterize the distinctions between each pair of states, we used individual differences in the phase synchronization. We calculated them for each pair of channels for a set of seven frequencies corresponding to the main rhythms. The size effect and its level of uncertainty were estimated using the Bayesian approach.

Original languageEnglish
Title of host publicationAdvances in Neural Computation, Machine Learning, and Cognitive Research IV
Subtitle of host publicationSelected Papers from the 22nd International Conference on Neuroinformatics, 2020
EditorsBoris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
PublisherSpringer Nature
Pages44-50
Number of pages7
ISBN (Print)9783030605766
DOIs
StatePublished - 2021
Event22nd International Conference on Neuroinformatics, 2020 - Moscow, Russian Federation
Duration: 12 Oct 202016 Oct 2020

Publication series

NameStudies in Computational Intelligence
Volume925 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference22nd International Conference on Neuroinformatics, 2020
Country/TerritoryRussian Federation
CityMoscow
Period12/10/2016/10/20

Scopus subject areas

  • Artificial Intelligence

Keywords

  • Bayesian methods
  • Brain default system
  • EEG resting state
  • EEG synchronization

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