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

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

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.

Язык оригиналаанглийский
Название основной публикацииAdvances in Neural Computation, Machine Learning, and Cognitive Research IV
Подзаголовок основной публикацииSelected Papers from the 22nd International Conference on Neuroinformatics, 2020
РедакторыBoris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
ИздательSpringer Nature
Страницы44-50
Число страниц7
ISBN (печатное издание)9783030605766
DOI
СостояниеОпубликовано - 2021
Событие22nd International Conference on Neuroinformatics, 2020 - Moscow, Российская Федерация
Продолжительность: 12 окт 202016 окт 2020

Серия публикаций

НазваниеStudies in Computational Intelligence
Том925 SCI
ISSN (печатное издание)1860-949X
ISSN (электронное издание)1860-9503

конференция

конференция22nd International Conference on Neuroinformatics, 2020
СтранаРоссийская Федерация
ГородMoscow
Период12/10/2016/10/20

Предметные области Scopus

  • Искусственный интеллект

Fingerprint Подробные сведения о темах исследования «Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать