A prospective study of loss of consciousness in epilepsy using virtual reality driving simulation and other video games. Yang, L., Morland, T. B., Schmits, K., Rawson, E., Narasimhan, P., Motelow, J. E., Purcaro, M. J., Peng, K., Raouf, S., DeSalvo, M. N., Oh, T., Wilkerson, J., Bod, J., Srinivasan, A., Kurashvili, P., Anaya, J., Manza, P., Danielson, N., Ransom, C. B., Huh, L., Elrich, S., Padin-Rosado, J., Naidu, Y., Detyniecki, K., Hamid, H., Farooque, P., Astur, R., Xiao, B., Duckrow, R. B., & Blumenfeld, H. Epilepsy & Behavior, 18(3):238–246, July, 2010. Publisher: Elsevier Science![A prospective study of loss of consciousness in epilepsy using virtual reality driving simulation and other video games [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Patients with epilepsy are at risk of traffic accidents when they have seizures while driving. However, driving is an essential part of normal daily life in many communities, and depriving patients of driving privileges can have profound consequences for their economic and social well-being. In the current study, we collected ictal performance data from a driving simulator and two other video games in patients undergoing continuous video/EEG monitoring. We captured 22 seizures in 13 patients and found that driving impairment during seizures differed in terms of both magnitude and character, depending on the seizure type. Our study documents the feasibility of a prospective study of driving and other behaviors during seizures through the use of computer-based tasks. This methodology may be applied to further describe differential driving impairment in specific types of seizures and to gain data on anatomical networks disrupted in seizures that impair consciousness and driving safety. (PsycINFO Database Record (c) 2017 APA, all rights reserved)
@article{yang_prospective_2010,
title = {A prospective study of loss of consciousness in epilepsy using virtual reality driving simulation and other video games},
volume = {18},
issn = {1525-5050},
url = {https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,uid&db=psyh&AN=2010-15494-017&site=ehost-live},
doi = {10.1016/j.yebeh.2010.04.011},
abstract = {Patients with epilepsy are at risk of traffic accidents when they have seizures while driving. However, driving is an essential part of normal daily life in many communities, and depriving patients of driving privileges can have profound consequences for their economic and social well-being. In the current study, we collected ictal performance data from a driving simulator and two other video games in patients undergoing continuous video/EEG monitoring. We captured 22 seizures in 13 patients and found that driving impairment during seizures differed in terms of both magnitude and character, depending on the seizure type. Our study documents the feasibility of a prospective study of driving and other behaviors during seizures through the use of computer-based tasks. This methodology may be applied to further describe differential driving impairment in specific types of seizures and to gain data on anatomical networks disrupted in seizures that impair consciousness and driving safety. (PsycINFO Database Record (c) 2017 APA, all rights reserved)},
number = {3},
journal = {Epilepsy \& Behavior},
author = {Yang, Li and Morland, Thomas B. and Schmits, Kristen and Rawson, Elizabeth and Narasimhan, Poojitha and Motelow, Joshua E. and Purcaro, Michael J. and Peng, Kathy and Raouf, Saned and DeSalvo, Matthew N. and Oh, Taemin and Wilkerson, Jerome and Bod, Jessica and Srinivasan, Aditya and Kurashvili, Pimen and Anaya, Joseph and Manza, Peter and Danielson, Nathan and Ransom, Christopher B. and Huh, Linda and Elrich, Susan and Padin-Rosado, Jose and Naidu, Yamini and Detyniecki, Kamil and Hamid, Hamada and Farooque, Pue and Astur, Robert and Xiao, Bo and Duckrow, Robert B. and Blumenfeld, Hal},
month = jul,
year = {2010},
note = {Publisher: Elsevier Science},
keywords = {Adolescent, Adult, Automobile Driving, Child, Computer Games, Computer-Aided Design, Consciousness States, Disability Evaluation, Driving Behavior, Electroencephalography, Epilepsy, Feasibility Studies, Female, Humans, Male, Middle Aged, Prospective Studies, Psychomotor Performance, Risk Factors, Unconsciousness, User-Computer Interface, Video Games, Video Recording, Virtual Reality, Young Adult, consciousness loss, driving simulation, electroencephalography, epilepsy, risk factors, video games, virtual reality},
pages = {238--246},
}
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B.","Blumenfeld, H."],"bibdata":{"bibtype":"article","type":"article","title":"A prospective study of loss of consciousness in epilepsy using virtual reality driving simulation and other video games","volume":"18","issn":"1525-5050","url":"https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,uid&db=psyh&AN=2010-15494-017&site=ehost-live","doi":"10.1016/j.yebeh.2010.04.011","abstract":"Patients with epilepsy are at risk of traffic accidents when they have seizures while driving. However, driving is an essential part of normal daily life in many communities, and depriving patients of driving privileges can have profound consequences for their economic and social well-being. In the current study, we collected ictal performance data from a driving simulator and two other video games in patients undergoing continuous video/EEG monitoring. 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However, driving is an essential part of normal daily life in many communities, and depriving patients of driving privileges can have profound consequences for their economic and social well-being. In the current study, we collected ictal performance data from a driving simulator and two other video games in patients undergoing continuous video/EEG monitoring. We captured 22 seizures in 13 patients and found that driving impairment during seizures differed in terms of both magnitude and character, depending on the seizure type. Our study documents the feasibility of a prospective study of driving and other behaviors during seizures through the use of computer-based tasks. This methodology may be applied to further describe differential driving impairment in specific types of seizures and to gain data on anatomical networks disrupted in seizures that impair consciousness and driving safety. 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