@article{JMAI4649,
author = {Nash N. Boutros},
title = {Psychogenic non-epileptic seizures, recent advances and commentary on, Vasta et al., the application of artificial intelligence to understand the biological bases of the disorder},
journal = {Journal of Medical Artificial Intelligence},
volume = {1},
number = {0},
year = {2018},
keywords = {},
abstract = {As many as 33 per 100,000 people experience episodes of paroxysmal impairment associated with a range of manifestations that can be motor, sensory, and/or mental and closely mimic and frequently mistaken for epileptic seizures (1). These episodes are termed psychogenic non-epileptic seizures (PNES). The prevalence of PNES episodes is much higher in epilepsy practices, reaching as high as 30% (2). The diagnosis of PNES remains a process of excluding epilepsy and thus leads to an average time from onset of these paroxysms to diagnosis of close to seven years.},
issn = {2617-2496}, url = {https://jmai.amegroups.org/article/view/4649}
}