Key result
Fatigue from sleep deprivation during a simulated driving task alters EEG synchronization and brain network connectivity across successive stages of the experiment.
Observational
This study proposes an HVG-based synchronization measure for EEG signals to evaluate brain network connectivity changes due to fatigue.
Answers are grounded in this paper and cite their sources.
May support EEG fatigue monitoring in drivers; leaves open HVG measure validation before clinical use.
Synchronization measures between Electroencephalograph (EEG) signals from different regions of the brain are often employed to characterize the interaction of brain areas during mental and physical activity. This work examines the variation of alertness of human subjects due to fatigue in a sleep-deprivation experiment involving a simulated driving task using a Horizontal Visibility Graph (HVG)-based synchronization measure for EEG signals. The synchronization values are used to form a brain network at each stage of the experiment 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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Sengupta et al. (2014) conducted an observational in Fatigue. Sleep deprivation vs. Successive stages of the experiment was evaluated on Variation in connectivity between brain regions using HVG-based synchronization measure for EEG signals. Fatigue from sleep deprivation during a simulated driving task alters EEG synchronization and brain network connectivity across successive stages of the experiment.
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