Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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 language | English |
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Title of host publication | Advances in Neural Computation, Machine Learning, and Cognitive Research IV |
Subtitle of host publication | Selected Papers from the 22nd International Conference on Neuroinformatics, 2020 |
Editors | Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
Publisher | Springer Nature |
Pages | 44-50 |
Number of pages | 7 |
ISBN (Print) | 9783030605766 |
DOIs | |
State | Published - 2021 |
Event | 22nd International Conference on Neuroinformatics, 2020 - Moscow, Russian Federation Duration: 12 Oct 2020 → 16 Oct 2020 |
Name | Studies in Computational Intelligence |
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Volume | 925 SCI |
ISSN (Print) | 1860-949X |
ISSN (Electronic) | 1860-9503 |
Conference | 22nd International Conference on Neuroinformatics, 2020 |
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Country/Territory | Russian Federation |
City | Moscow |
Period | 12/10/20 → 16/10/20 |
ID: 71884440