Basic and Clinical Neuroscience, Volume (16), No (6), Year (2025-11) , Pages (1033-1050)

Title : ( Neurophysiological Markers of Cognitive Failures in Drivers: An Electroencephalography Study )

Authors: Zahra Sharifi , Amir Pour Mohammadi , Seyed Ruhollah Hosseini , Shohreh Sadeghi , Mohebat Vali , Mozhgan Seif , Reza Kazemi ,

Citation: BibTeX | EndNote

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.

Keywords

, Cognitive performance, Automobile driving, Electroencephalography (EEG), Brain waves
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@article{paperid:1106368,
author = {Zahra Sharifi and Amir Pour Mohammadi and Hosseini, Seyed Ruhollah and Shohreh Sadeghi and Mohebat Vali and Mozhgan Seif and Reza Kazemi},
title = {Neurophysiological Markers of Cognitive Failures in Drivers: An Electroencephalography Study},
journal = {Basic and Clinical Neuroscience},
year = {2025},
volume = {16},
number = {6},
month = {November},
issn = {2008-126X},
pages = {1033--1050},
numpages = {17},
keywords = {Cognitive performance; Automobile driving; Electroencephalography (EEG); Brain waves},
}

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%0 Journal Article
%T Neurophysiological Markers of Cognitive Failures in Drivers: An Electroencephalography Study
%A Zahra Sharifi
%A Amir Pour Mohammadi
%A Hosseini, Seyed Ruhollah
%A Shohreh Sadeghi
%A Mohebat Vali
%A Mozhgan Seif
%A Reza Kazemi
%J Basic and Clinical Neuroscience
%@ 2008-126X
%D 2025

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