Evidence map›Paper›PMID 42238748›Full record

ArticleBasic and clinical neuroscience2025

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

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

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Article in Basic and clinical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zahra SharifiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0003-1636-2789
Amir Pour MohammadiDepartment of Mathematical Engineering, Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain, Louvain-la-Neuve, Belgium.ORCID https://orcid.org/0009-0004-9006-7555
Seyed Ruhollah HosseiniDepartment of Psychology, Faculty of Educational Science and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.ORCID https://orcid.org/0000-0001-7320-3501
Shohreh SadeghiSchool of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.ORCID https://orcid.org/0009-0009-6483-4120
Mohebat ValiDepartment of Epidemiology, Non-Communicable Diseases Research Center, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0001-9108-2520
Mozhgan SeifSchool of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.ORCID https://orcid.org/0000-0003-2301-5603
Reza KazemiDepartment of Ergonomics, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0003-1361-7360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Automobile drivingBrain wavesCognitive performanceElectroencephalography (EEG)

Identifiers

PMID42238748
PMCPMC13228110

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.