Realistic driving simulation during generalized epileptiform discharges to identify electroencephalographic features related to motor vehicle safety: Feasibility and pilot study. (24th October 2019)
- Record Type:
- Journal Article
- Title:
- Realistic driving simulation during generalized epileptiform discharges to identify electroencephalographic features related to motor vehicle safety: Feasibility and pilot study. (24th October 2019)
- Main Title:
- Realistic driving simulation during generalized epileptiform discharges to identify electroencephalographic features related to motor vehicle safety: Feasibility and pilot study
- Authors:
- Cohen, Eli
Antwi, Prince
Banz, Barbara C.
Vincent, Peter
Saha, Rick
Arencibia, Christopher A.
Ryu, Jun H.
Atac, Ece
Saleem, Nehan
Tomatsu, Shiori
Swift, Kohleman
Hu, Claire
Krestel, Heinz
Farooque, Pue
Levy, Susan
Wu, Jia
Crowley, Michael
Vaca, Federico E.
Blumenfeld, Hal - Abstract:
- Abstract: Objective: Generalized epileptiform discharges (GEDs) can occur during seizures or without obvious clinical accompaniment. Motor vehicle driving risk during apparently subclinical GEDs is uncertain. Our goals were to develop a feasible, realistic test to evaluate driving safety during GEDs, and to begin evaluating electroencephalographic (EEG) features in relation to driving safety. Methods: Subjects were aged ≥15 years with generalized epilepsy, GEDs on EEG, and no clinical seizures. Using a high‐fidelity driving simulator (miniSim) with simultaneous EEG, a red oval visual stimulus was presented every 5 minutes for baseline testing, and with each GED. Participants were instructed to pull over as quickly and safely as possible with each stimulus. We analyzed driving and EEG signals during GEDs. Results: Nine subjects were tested, and five experienced 88 GEDs total with mean duration 2.31 ± 1.89 (SD) seconds. Of these five subjects, three responded appropriately to all stimuli, one failed to respond to 75% of stimuli, and one stopped driving immediately during GEDs. GEDs with no response to stimuli were significantly longer than those with appropriate responses (8.47 ± 3.10 vs 1.85 ± 0.69 seconds, P < .001). Reaction times to stimuli during GEDs were significantly correlated with GED duration ( r = 0.30, P = .04). In addition, EEG amplitude was greater for GEDs with no response to stimuli than GEDs with responses, both for overall root mean square voltageAbstract: Objective: Generalized epileptiform discharges (GEDs) can occur during seizures or without obvious clinical accompaniment. Motor vehicle driving risk during apparently subclinical GEDs is uncertain. Our goals were to develop a feasible, realistic test to evaluate driving safety during GEDs, and to begin evaluating electroencephalographic (EEG) features in relation to driving safety. Methods: Subjects were aged ≥15 years with generalized epilepsy, GEDs on EEG, and no clinical seizures. Using a high‐fidelity driving simulator (miniSim) with simultaneous EEG, a red oval visual stimulus was presented every 5 minutes for baseline testing, and with each GED. Participants were instructed to pull over as quickly and safely as possible with each stimulus. We analyzed driving and EEG signals during GEDs. Results: Nine subjects were tested, and five experienced 88 GEDs total with mean duration 2.31 ± 1.89 (SD) seconds. Of these five subjects, three responded appropriately to all stimuli, one failed to respond to 75% of stimuli, and one stopped driving immediately during GEDs. GEDs with no response to stimuli were significantly longer than those with appropriate responses (8.47 ± 3.10 vs 1.85 ± 0.69 seconds, P < .001). Reaction times to stimuli during GEDs were significantly correlated with GED duration ( r = 0.30, P = .04). In addition, EEG amplitude was greater for GEDs with no response to stimuli than GEDs with responses, both for overall root mean square voltage amplitude (66.14 μV vs 52.99 μV, P = .02) and for fractional power changes in the frequency range of waves ( P < .05) and spikes ( P < .001). Significance: 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. … (more)
- Is Part Of:
- Epilepsia. Volume 61:issue 1(2020)
- Journal:
- Epilepsia
- Issue:
- Volume 61:issue 1(2020)
- Issue Display:
- Volume 61, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 61
- Issue:
- 1
- Issue Sort Value:
- 2020-0061-0001-0000
- Page Start:
- 19
- Page End:
- 28
- Publication Date:
- 2019-10-24
- Subjects:
- absence seizures -- consciousness -- driving -- EEG -- epilepsy -- spike‐wave discharges
Epilepsy -- Periodicals
616.853 - Journal URLs:
- http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=epi ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/epi.16356 ↗
- Languages:
- English
- ISSNs:
- 0013-9580
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3793.700000
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- 22293.xml