Neurophysiological Markers of Cognitive Failures in Drivers: An Electroencephalography Study.

IF 1.1 Q4 NEUROSCIENCES
Zahra Sharifi, Amir Pour Mohammadi, Seyed Ruhollah Hosseini, Shohreh Sadeghi, Mohebat Vali, Mozhgan Seif, Reza Kazemi
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引用次数: 0

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.

驾驶员认知失败的神经生理标志:脑电图研究。
驾驶过程中的认知障碍(CFs)是导致交通事故和死亡的重要因素。本研究旨在利用脑电图(EEG)研究驾驶员CF的神经生理指标。方法:将30名出租车司机按CF问卷(CFQ)得分分为高CF组和低CF组。在闭眼休息和睁眼Go/No-Go (GNG)任务期间记录脑电图信号,以评估脑电波模式和脑叶特异性激活。统计分析包括t检验、重复测量方差分析(ANOVA)和Pearson相关性。结果:高CF的驾驶员表现出δ、θ和γ活动减少,尤其是在颞叶和枕叶,表明认知加工受损。相比之下,低故障驾驶员在额部和枕部区域表现出增加的δ、θ和α功率。高失败驱动的顶叶β活性升高可能反映了代偿处理。在这一组中,所有大脑区域的伽马能量都一直较低。结论:这些结果突出了特定的脑电图频带作为识别驾驶员CF的潜在客观标记,为早期认知评估和基于证据的驾驶安全策略的发展提供了启示。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
64
审稿时长
4 weeks
期刊介绍: BCN is an international multidisciplinary journal that publishes editorials, original full-length research articles, short communications, reviews, methodological papers, commentaries, perspectives and “news and reports” in the broad fields of developmental, molecular, cellular, system, computational, behavioral, cognitive, and clinical neuroscience. No area in the neural related sciences is excluded from consideration, although priority is given to studies that provide applied insights into the functioning of the nervous system. BCN aims to advance our understanding of organization and function of the nervous system in health and disease, thereby improving the diagnosis and treatment of neural-related disorders. Manuscripts submitted to BCN should describe novel results generated by experiments that were guided by clearly defined aims or hypotheses. BCN aims to provide serious ties in interdisciplinary communication, accessibility to a broad readership inside Iran and the region and also in all other international academic sites, effective peer review process, and independence from all possible non-scientific interests. BCN also tries to empower national, regional and international collaborative networks in the field of neuroscience in Iran, Middle East, Central Asia and North Africa and to be the voice of the Iranian and regional neuroscience community in the world of neuroscientists. In this way, the journal encourages submission of editorials, review papers, commentaries, methodological notes and perspectives that address this scope.
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