Volume 16, Issue 6 (November & December 2025)
BCN 2025, 16(6): 1033-1050 |
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Sharifi Z, Pour Mohammadi A, Hosseini S R, Sadeghi S, Vali M, Seif M et al . Neurophysiological Markers of Cognitive Failures in Drivers: An Electroencephalography Study. BCN 2025; 16 (6) :1033-1050
URL: http://bcn.iums.ac.ir/article-1-3273-en.html
URL: http://bcn.iums.ac.ir/article-1-3273-en.html
Zahra Sharifi1 
, Amir Pour Mohammadi2 , Seyed Ruhollah Hosseini3 , Shohreh Sadeghi4 , Mohebat Vali5 , Mozhgan Seif4 , Reza Kazemi *6
, Amir Pour Mohammadi2 , Seyed Ruhollah Hosseini3 , Shohreh Sadeghi4 , Mohebat Vali5 , Mozhgan Seif4 , Reza Kazemi *6
1- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
2- Department of Mathematical Engineering, Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain, Louvain-la-Neuve, Belgium. & System and Cognition Division, Institute of Neuroscience, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
3- Department of Psychology, Faculty of Educational Science and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
4- School of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
5- Department of Epidemiology, Non-Communicable Diseases Research Center, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
6- Department of Ergonomics, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
2- Department of Mathematical Engineering, Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain, Louvain-la-Neuve, Belgium. & System and Cognition Division, Institute of Neuroscience, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
3- Department of Psychology, Faculty of Educational Science and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
4- School of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
5- Department of Epidemiology, Non-Communicable Diseases Research Center, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
6- Department of Ergonomics, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Abstract:
Introduction: Cognitive failures (CFs) during driving significantly contribute to traffic accidents and fatalities. This study aimed to investigate neurophysiological markers of CF in drivers using electroencephalography (EEG).
Methods: Thirty taxi drivers were classified into high and low CF groups based on CF questionnaire (CFQ) scores. EEG signals were recorded during eyes-closed rest and eyes-open Go/No-Go (GNG) tasks to assess brainwave patterns and lobe-specific activation. Statistical analyses included t-tests, repeated measures analysis of variance (ANOVA), and Pearson’s correlations.
Results: Drivers with high CF 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 CF 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 CF groups based on CF questionnaire (CFQ) scores. EEG signals were recorded during eyes-closed rest and eyes-open Go/No-Go (GNG) tasks to assess brainwave patterns and lobe-specific activation. Statistical analyses included t-tests, repeated measures analysis of variance (ANOVA), and Pearson’s correlations.
Results: Drivers with high CF 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 CF in drivers, offering implications for early cognitive assessment and the development of evidence-based safety strategies in driving contexts.
Type of Study: Original |
Subject:
Cognitive Neuroscience
Received: 2025/07/9 | Accepted: 2025/07/23 | Published: 2025/11/28
Received: 2025/07/9 | Accepted: 2025/07/23 | Published: 2025/11/28
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