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Realistic driving simulation during generalized epileptiform discharges to identify electroencephalographic features related to motor vehicle safety: Feasibility and pilot study.

Eli CohenPrince AntwiBarbara C BanzPeter VincentRick SahaChristopher A ArencibiaJun H RyuEce AtacNehan SaleemShiori TomatsuKohleman SwiftClaire HuHeinz KrestelPue FarooqueSusan LevyJia WuMichael CrowleyFederico E VacaHal Blumenfeld
Published in: Epilepsia (2019)
High-fidelity driving simulation is feasible for investigating driving behavior during GEDs. GEDs with longer duration and greater EEG amplitude showed more driving impairment. Future work with a large sample size may ultimately enable classification of GED EEG features to predict individual driving risk.
Keyphrases
  • resting state
  • functional connectivity
  • machine learning
  • deep learning
  • virtual reality