ArticleFrontiers in human neuroscience2018
EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers.
Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Driving-Related Cognitive Abilities Prediction Based on Transformer's Multimodal Fusion Framework.Sensors (Basel, Switzerland) · 2024Article
- Hepatic encephalopathy and driving safety: A survey of patient counseling and regulatory reporting by health care professionals in British Columbia, Canada.Canadian liver journal · 2024Article
- The Effects of Acute Exercise on Driving and Executive Functions in Healthy Older Adults.International journal of sport and exercise psychology · 2022Article
- A multimodal approach for the ecological investigation of sustained attention: A pilot study.Frontiers in human neuroscience · 2022Article
- Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System.Sensors (Basel, Switzerland) · 2021Article
- Event-Related Potential Sensing Analysis on the Risk Perception and Decision-Making by Grassroots Managers in Different Fatigue States.Journal of healthcare engineering · 2021Article
- Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain-Computer Interface.Frontiers in human neuroscience · 2021Article
- Dynamic Changes in EEG Power Spectral Densities During NIH-Toolbox Flanker, Dimensional Change Card Sort Test and Episodic Memory Tests in Young Adults.Frontiers in human neuroscience · 2020Article
- Editorial: Psychophysiological Contributions to Traffic Safety.Frontiers in human neuroscience · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The number of older drivers is steadily increasing, and advancing age is associated with a high rate of automobile crashes and fatalities. This can be attributed to a combination of factors including decline in sensory, motor, and cognitive functions due to natural aging or neurodegenerative diseases such as HIV-Associated Neurocognitive Disorder (HAND). Current clinical assessment methods only modestly predict impaired driving. Thus, there is a need for inexpensive and scalable tools to predict on-road driving performance. In this study EEG was acquired from 39 HIV+ patients and 63 healthy participants (HP) during: 3-Choice-Vigilance Task (3CVT), a 30-min driving simulator session, and a 12-mile on-road driving evaluation. Based on driving performance, a designation of Good/Poor (simulator) and Safe/Unsafe (on-road drive) was assigned to each participant. Event-related potentials (ERPs) obtained during 3CVT showed increased amplitude of the P200 component was associated with bad driving performance both during the on-road and simulated drive. This P200 effect was consistent across the HP and HIV+ groups, particularly over the left frontal-central region. Decreased amplitude of the late positive potential (LPP) during 3CVT, particularly over the left frontal regions, was associated with bad driving performance in the simulator. These EEG ERP metrics were shown to be associated with driving performance across participants independent of HIV status. During the on-road evaluation, Unsafe drivers exhibited higher EEG alpha power compared to Safe drivers. The results of this study are 2-fold. First, they demonstrate that high-quality EEG can be inexpensively and easily acquired during simulated and on-road driving assessments. Secondly, EEG metrics acquired during a sustained attention task (3CVT) are associated with driving performance, and these metrics could potentially be used to assess whether an individual has the cognitive skills necessary for safe driving.
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