EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers
| Autor: | Marija Stevanović Karić, Emily Sones, Marc Casillas, Stephanie Smith, Thomas D. Marcotte, Theodore J. Rosenthal, Greg Rupp, Kevin McShea, Amir H. Meghdadi, Chris Berka |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Human immunodeficiency virus (HIV) Electroencephalography Audiology medicine.disease_cause 050105 experimental psychology lcsh:RC321-571 Task (project management) 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Event-related potential driving medicine 0501 psychology and cognitive sciences Cognitive skill EEG event related potentials lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Biological Psychiatry on-road evaluation Original Research medicine.diagnostic_test driving impairment test 05 social sciences Driving simulator neurodegeneration HIV Cognition Psychiatry and Mental health sustained attention Neuropsychology and Physiological Psychology Neurology Psychology Neurocognitive 030217 neurology & neurosurgery Neuroscience |
| Zdroj: | Frontiers in Human Neuroscience Frontiers in Human Neuroscience, Vol 12 (2019) |
| ISSN: | 1662-5161 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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