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EEG Synchronization and Brain Networks: A Case Study in Fatigue

EEG Synchronization and Brain Networks: A Case Study in Fatigue

Anwesha Sengupta, Subhadeep Datta, Sibsambhu Kar, Aurobinda Routray
Copyright: © 2015 |Volume: 4 |Issue: 2 |Pages: 11
ISSN: 2161-1610|EISSN: 2161-1629|EISBN13: 9781466680487|DOI: 10.4018/IJBCE.2015070101
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MLA

Sengupta, Anwesha, et al. "EEG Synchronization and Brain Networks: A Case Study in Fatigue." IJBCE vol.4, no.2 2015: pp.1-11. http://doi.org/10.4018/IJBCE.2015070101

APA

Sengupta, A., Datta, S., Kar, S., & Routray, A. (2015). EEG Synchronization and Brain Networks: A Case Study in Fatigue. International Journal of Biomedical and Clinical Engineering (IJBCE), 4(2), 1-11. http://doi.org/10.4018/IJBCE.2015070101

Chicago

Sengupta, Anwesha, et al. "EEG Synchronization and Brain Networks: A Case Study in Fatigue," International Journal of Biomedical and Clinical Engineering (IJBCE) 4, no.2: 1-11. http://doi.org/10.4018/IJBCE.2015070101

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Abstract

Synchronization measures between Electro-encephalograph (EEG) signals from different regions of the brain are often employed to characterize the interaction of brain areas during mental and physical activity. The present work examines the variation of alertness of human subjects due to fatigue in a simulated driving task induced by loss of sleep using a Horizontal Visibility Graph (HVG)-based EEG synchronization measure. A brain network is formed at each stage of the experiment using synchronization values and network parameter values from various brain regions are compared to study the variation in connectivity between brain regions along successive stages of the experiment.

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