SynthesisInternational journal of environmental research and public health2020
P300 Measures and Drive-Related Risks: A Systematic Review and Meta-Analysis.
Synthesis in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Navigating a Misty Road: Novel Ways to Study the Impact of Cognition on Driving Performance in Multiple Sclerosis.Brain sciences · 2025Review
- Impact of early adolescent lead exposure on brain function and response: Findings from a Chinese cohort.Neurotoxicology · 2025Article
- The Neural Response Process of Cognitive Decision Making: An ERP Study.Brain sciences · 2023Article
- Entropy Method of Road Safety Management: Case Study of the Russian Federation.Entropy (Basel, Switzerland) · 2022Article
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Authors and funding
4 authors.
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Abstract
Detecting signs for an increased level of risk during driving are critical for the effective prevention of road traffic accidents. The current study searched for literature through major databases such as PubMed, EBSCO, IEEE, and ScienceDirect. A total of 14 articles that measured P300 components in relation to driving tasks were included for a systematic review and meta-analysis. The risk factors investigated in the reviewed articles were summarized in five categories, including reduced attention, distraction, alcohol, challenging situations on the road, and negative emotion. A meta-analysis was conducted at both behavioral and neural levels. Behavioral performance was measured by the reaction time and driving performance, while the neural response was measured by P300 amplitude and latency. A significant increase in reaction time was identified when drivers were exposed to the risk factors. In addition, the significant effects of a reduced P300 amplitude and prolonged P300 latency indicated a reduced capacity for cognitive information processing. There was a tendency of driving performance decrement in relation to the risk factors, however, the effect was non-significant due to considerable variations and heterogeneity across the included studies. The results led to the conclusion that the P300 amplitude and latency are reliable indicators and predictors of the increased risk in driving. Future applications of the P300-based brain-computer interface (BCI) system may make considerable contributions toward preventing road traffic accidents.
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