Journal article
Correlation of EEG biomarkers of cannabis with measured driving impairment
Traffic injury prevention, Vol.20(2), pp.S148-S151
11/25/2019
DOI: 10.1080/15389588.2019.1662256
PMCID: PMC8733968
PMID: 31674856
Abstract
Objective: The objective of this study was to use electroencephalogram (EEG) biomarkers derived from a short, easily administered neurocognitive testbed to determine acute cannabis intoxication and its effect on driving performance in a driving simulator. Methods: The data analyzed were from a study examining the relationship between psychomotor task performance, EEG data, and driving performance in a simulator. EEG data were collected using a STAT (R) X-24 EEG Wireless Sensor Headset, which was worn during the psychomotor and driving tasks. Driving data were collected for segments of consistent driving environments, including urban driving, urban curves, interstate, interstate curves, dark rural, and rural straightaways. Dependent measures included measures of lateral and longitudinal vehicle control. Results: There was a significant relationship between impaired driving performance as indicated by increased standard deviation of lane position and EEG power in slow theta band (3-5 Hz) in parietal and occipital areas. Conclusions: These results, combined with our prior reported results, suggest that EEG and electrocardiogram (ECG) acquired concurrent with neuropsychological tests hold potential to provide a highly sensitive, specific, and dose-dependent profile of cannabis intoxication and level of impairment.
Details
- Title: Subtitle
- Correlation of EEG biomarkers of cannabis with measured driving impairment
- Creators
- Timothy Brown - University of IowaMarissa McConnell - Advanced Brain Monitoring (United States)Greg Rupp - Advanced Brain Monitoring (United States)Amir Meghdadi - Advanced Brain Monitoring (United States)Christian Richard - Advanced Brain Monitoring (United States)Rose Schmitt - University of IowaGary Gaffney - Roy J. and Lucille A. Carver College of MedicineGary Milavetz - University of IowaChris Berka - Advanced Brain Monitoring (United States)
- Resource Type
- Journal article
- Publication Details
- Traffic injury prevention, Vol.20(2), pp.S148-S151
- DOI
- 10.1080/15389588.2019.1662256
- PMID
- 31674856
- PMCID
- PMC8733968
- NLM abbreviation
- Traffic Inj Prev
- ISSN
- 1538-9588
- eISSN
- 1538-957X
- Publisher
- Taylor & Francis
- Number of pages
- 4
- Grant note
- HHSN271201800015C / National Institutes of Drug Abuse (NIDA); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Drug Abuse (NIDA)
- Language
- English
- Date published
- 11/25/2019
- Academic Unit
- Pharmacy; Psychiatry; Iowa Technology Institute; Pharmaceutical Sciences and Experimental Therapeutics; Driving Safety Research Institute; Pharmacy Practice and Science; Injury Prevention Research Center
- Record Identifier
- 9984365881102771
Metrics
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