چکیده:
Introduction: Cognitive failures during driving are a significant contributor to traffic accidents and fatalities. This study investigates neurophysiological markers of cognitive failure in drivers using electroencephalography (EEG).
Methods: Thirty taxi drivers were classified into high and low cognitive failure groups based on CFQ scores. EEG signals were recorded during eyes-closed rest and eyes-open Go/No-Go tasks to assess brainwave patterns and lobe-specific activation. Statistical analyses included t-tests, repeated measures ANOVA, and Pearson correlations.
Results: Drivers with high cognitive failure showed reduced delta, theta, and gamma activity—particularly in the temporal and occipital lobes—suggesting impaired cognitive processing. In contrast, low-failure drivers exhibited increased delta, theta, and alpha power in frontal and occipital regions. Elevated beta activity in the parietal lobe of high-failure drivers may reflect compensatory processing. Gamma power was consistently lower across all brain regions in this group.
Conclusion: These results highlight specific EEG frequency bands as potential objective markers for identifying cognitive failure in drivers, offering implications for early cognitive assessment and the development of evidence-based safety strategies in driving contexts.
Methods: Thirty taxi drivers were classified into high and low cognitive failure groups based on CFQ scores. EEG signals were recorded during eyes-closed rest and eyes-open Go/No-Go tasks to assess brainwave patterns and lobe-specific activation. Statistical analyses included t-tests, repeated measures ANOVA, and Pearson correlations.
Results: Drivers with high cognitive failure showed reduced delta, theta, and gamma activity—particularly in the temporal and occipital lobes—suggesting impaired cognitive processing. In contrast, low-failure drivers exhibited increased delta, theta, and alpha power in frontal and occipital regions. Elevated beta activity in the parietal lobe of high-failure drivers may reflect compensatory processing. Gamma power was consistently lower across all brain regions in this group.
Conclusion: These results highlight specific EEG frequency bands as potential objective markers for identifying cognitive failure in drivers, offering implications for early cognitive assessment and the development of evidence-based safety strategies in driving contexts.
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