Investigating the neural signature of microsleeps using EEG

Conference paper


Zaky, Mohamed H., Shoorangiz, Reza, Poudel, Govinda R., Yang, Le and Jones, Richard D.. (2021). Investigating the neural signature of microsleeps using EEG. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 31 Oct - 04 Nov 2021 Institute of Electrical and Electronics Engineers. pp. 6293-6296 https://doi.org/10.1109/EMBC46164.2021.9630401
AuthorsZaky, Mohamed H., Shoorangiz, Reza, Poudel, Govinda R., Yang, Le and Jones, Richard D.
TypeConference paper
Abstract

A microsleep (MS) is a complete lapse of responsiveness due to an episode of brief sleep (≲ 15 s) with eyes partially or completely closed. MSs are highly correlated with the risk of car accidents, severe injuries, and death. To investigate EEG changes during MSs, we used a 2D continuous visuomotor tracking (CVT) task and eye-video to identify MSs in 20 subjects performing the 50-min task. Following pre-processing, FFT spectral analysis was used to calculate the activity in the EEG delta, theta, alpha, beta, and gamma bands, followed by eLORETA for source reconstruction. A group statistical analysis was performed to compare the change in activity over EEG bands of an MS to its baseline. After correction for multiple comparisons, we found maximum increases in delta, theta, and alpha activities over the frontal lobe, and beta over the parietal and occipital lobes. There were no significant changes in the gamma band, and no significant decreases in any band. Our results are in agreement with previous studies which reported increased alpha activity in MSs. However, this is the first study to have reported increased beta activity during MSs, which, due to the usual association of beta activity with wakefulness, was unexpected.

Year2021
PublisherInstitute of Electrical and Electronics Engineers
ISSN2694-0604
2375-7477
Digital Object Identifier (DOI)https://doi.org/10.1109/EMBC46164.2021.9630401
PubMed ID34892552
Scopus EID2-s2.0-85122493006
Publisher's version
License
All rights reserved
File Access Level
Controlled
Page range6293-6296
ISBN9781728111797
9781728111780
9781728111803
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/document/9630401
Output statusPublished
Publication dates
Online09 Dec 2021
Publication process dates
Deposited11 Apr 2022
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