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EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers
Greg Rupp1, Chris Berka1, Amir H Meghdadi1
1Advanced Brain Monitoring Inc., Carlsbad, CA, United States.
Frontiers in Human Neuroscience
|January 31, 2019
Summary
Electroencephalography (EEG) metrics from a sustained attention task can predict driving performance in older adults and individuals with HIV-Associated Neurocognitive Disorder (HAND). These EEG measures offer a scalable tool for assessing driving safety.
Area of Science:
- Neuroscience
- Gerontology
- Traffic Safety
Background:
- Aging and neurodegenerative diseases like HAND impair cognitive functions, increasing crash risks.
- Current driving assessments have limited predictive power for on-road performance.
- There is a need for cost-effective tools to assess driving capabilities.
Purpose of the Study:
- To investigate the utility of electroencephalography (EEG) metrics in predicting driving performance.
- To assess EEG-based predictors of driving safety in healthy older adults and HIV+ individuals.
- To evaluate the feasibility of acquiring EEG data during driving simulations and on-road evaluations.
Main Methods:
- EEG was recorded from 39 HIV+ patients and 63 healthy participants (HP) during a 3-Choice-Vigilance Task (3CVT), a driving simulator, and an on-road driving test.
- Participants were classified as Good/Poor (simulator) or Safe/Unsafe (on-road).
- Event-related potentials (ERPs) and EEG power spectra were analyzed in relation to driving performance.
Main Results:
- Increased P200 amplitude during 3CVT correlated with poorer driving performance (simulator and on-road).
- Decreased late positive potential (LPP) amplitude during 3CVT was linked to simulator driving impairment.
- Higher EEG alpha power was observed in unsafe on-road drivers compared to safe drivers.
- EEG metrics were associated with driving performance irrespective of HIV status.
Conclusions:
- High-quality EEG can be acquired cost-effectively during simulated and on-road driving assessments.
- EEG metrics from a sustained attention task show potential for assessing cognitive skills crucial for safe driving.
- These findings suggest EEG as a promising tool for evaluating driving fitness in aging populations and those with cognitive impairments.
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