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Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition. / Knyazeva, Irina; Yulia, Boytsova; Danko, Sergey; Makarenko, Nikolay.

Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the 22nd International Conference on Neuroinformatics, 2020. ed. / Boris Kryzhanovsky; Witali Dunin-Barkowski; Vladimir Redko; Yury Tiumentsev. Springer Nature, 2021. p. 44-50 (Studies in Computational Intelligence; Vol. 925 SCI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Knyazeva, I, Yulia, B, Danko, S & Makarenko, N 2021, Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition. in B Kryzhanovsky, W Dunin-Barkowski, V Redko & Y Tiumentsev (eds), Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the 22nd International Conference on Neuroinformatics, 2020. Studies in Computational Intelligence, vol. 925 SCI, Springer Nature, pp. 44-50, 22nd International Conference on Neuroinformatics, 2020, Moscow, Russian Federation, 12/10/20. https://doi.org/10.1007/978-3-030-60577-3_4

APA

Knyazeva, I., Yulia, B., Danko, S., & Makarenko, N. (2021). Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition. In B. Kryzhanovsky, W. Dunin-Barkowski, V. Redko, & Y. Tiumentsev (Eds.), Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the 22nd International Conference on Neuroinformatics, 2020 (pp. 44-50). (Studies in Computational Intelligence; Vol. 925 SCI). Springer Nature. https://doi.org/10.1007/978-3-030-60577-3_4

Vancouver

Knyazeva I, Yulia B, Danko S, Makarenko N. Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition. In Kryzhanovsky B, Dunin-Barkowski W, Redko V, Tiumentsev Y, editors, Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the 22nd International Conference on Neuroinformatics, 2020. Springer Nature. 2021. p. 44-50. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-030-60577-3_4

Author

Knyazeva, Irina ; Yulia, Boytsova ; Danko, Sergey ; Makarenko, Nikolay. / Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition. Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the 22nd International Conference on Neuroinformatics, 2020. editor / Boris Kryzhanovsky ; Witali Dunin-Barkowski ; Vladimir Redko ; Yury Tiumentsev. Springer Nature, 2021. pp. 44-50 (Studies in Computational Intelligence).

BibTeX

@inproceedings{7f42606095be45469f4e0a95b143e729,
title = "Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition",
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.",
keywords = "Bayesian methods, Brain default system, EEG resting state, EEG synchronization",
author = "Irina Knyazeva and Boytsova Yulia and Sergey Danko and Nikolay Makarenko",
note = "Knyazeva I., Yulia B., Danko S., Makarenko N. (2021) Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition. In: Kryzhanovsky B., Dunin-Barkowski W., Redko V., Tiumentsev Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research IV. NEUROINFORMATICS 2020. Studies in Computational Intelligence, vol 925. Springer, Cham. https://doi.org/10.1007/978-3-030-60577-3_4; 22nd International Conference on Neuroinformatics, 2020 ; Conference date: 12-10-2020 Through 16-10-2020",
year = "2021",
doi = "10.1007/978-3-030-60577-3_4",
language = "English",
isbn = "9783030605766",
series = "Studies in Computational Intelligence",
publisher = "Springer Nature",
pages = "44--50",
editor = "Boris Kryzhanovsky and Witali Dunin-Barkowski and Vladimir Redko and Yury Tiumentsev",
booktitle = "Advances in Neural Computation, Machine Learning, and Cognitive Research IV",
address = "Germany",

}

RIS

TY - GEN

T1 - Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition

AU - Knyazeva, Irina

AU - Yulia, Boytsova

AU - Danko, Sergey

AU - Makarenko, Nikolay

N1 - Knyazeva I., Yulia B., Danko S., Makarenko N. (2021) Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition. In: Kryzhanovsky B., Dunin-Barkowski W., Redko V., Tiumentsev Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research IV. NEUROINFORMATICS 2020. Studies in Computational Intelligence, vol 925. Springer, Cham. https://doi.org/10.1007/978-3-030-60577-3_4

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Bayesian methods

KW - Brain default system

KW - EEG resting state

KW - EEG synchronization

UR - http://www.scopus.com/inward/record.url?scp=85093081253&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/13d22282-b94c-3ca3-a91f-afd7090cfbd1/

U2 - 10.1007/978-3-030-60577-3_4

DO - 10.1007/978-3-030-60577-3_4

M3 - Conference contribution

AN - SCOPUS:85093081253

SN - 9783030605766

T3 - Studies in Computational Intelligence

SP - 44

EP - 50

BT - Advances in Neural Computation, Machine Learning, and Cognitive Research IV

A2 - Kryzhanovsky, Boris

A2 - Dunin-Barkowski, Witali

A2 - Redko, Vladimir

A2 - Tiumentsev, Yury

PB - Springer Nature

T2 - 22nd International Conference on Neuroinformatics, 2020

Y2 - 12 October 2020 through 16 October 2020

ER -

ID: 71884440