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Brain Functional Connectivity Analysis Through Phase Synchronization of EEG channels: Application in the Analysis of Burst-Suppression Patterns in Newborn EEGs. (English)
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- Author(s): Amiri, Sajjad; Azemi, Ghasem
- Source:
Computational Intelligence in Electrical Engineering; Spring2022, Vol. 13 Issue 1, p76-89, 14p- Subject Terms:
- Source:
- Additional Information
- Alternate Title: كاربرد در: EEG تحليل اتصالات عملكردى مغز براساص همكامى فاز بين كاذاًلهاى نوزادان EEG در B-S تحليل ١لكوهاى (Persian)
- Abstract: This paper presents a new method for studying brain functional connectivity using multichannel scalp EEG signals. The proposed method uses the values of pair-wise phase synchrony between different EEG channels as a measure to quantify the strength of the connection between different parts of the brain. Using these values, the resulted brain networks are visualized by the use of graph theory. The method is then deployed to explore brain functional connectivity in newborn EEG signals in the presence of burst and suppression patterns. The results show that the brain networks are sparser in the presence of burst patterns compai'ed to suppression patterns. They also show that the links in brain networks representing suppression patterns have greater strength. To validate the proposed method, the graphs describing burst and suppression patterns are classified. The results show that the brain networks for burst and suppression patterns are statistically different. The findings of this study show that the proposed method can be used to study brain functional connectivity in the presence of other abnor-malities. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Computational Intelligence in Electrical Engineering is the property of University of Isfahan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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