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A systematic study of stereotypy in epileptic seizures versus psychogenic seizure-like events

Vogrig A.
•
Hsiang J. C.
•
Ng J.
altro
Parvizi J.
2019
  • journal article

Periodico
EPILEPSY & BEHAVIOR
Abstract
Objective: The objective of this study was to quantify the features of stereotypy in epileptic seizures and compare it with that of stereotypy in psychogenic nonepileptic seizure-like events (PNES) confirmed by video-electroencephalography (VEEG) monitoring. Methods: Video-electroencephalography monitoring records of 20 patients with temporal lobe seizures (TLS) and 20 with PNES were retrospectively reviewed (n = 138 seizures, 48 TLS and 90 PNES). We analyzed the semiology of 59 behaviors of interest for their presence, duration, sequence, and continuity using quantified measures that were entered into statistical analysis. Results: We identified discontinuity as the parameter that was clearly distinct between PNES and epileptic TLS events: there were significantly more frequent pauses of behavior (i.e., “on–off” pattern) in PNES compared with TLS (P = 0.012). The frequency of pauses during an event was diagnostic of PNES events. For instance, the presence of 2 “pauses” during an episode determines a 69% probability of the seizure being nonepileptic. Moreover, PNES events had significantly greater duration (143 s) than TLS events (68 s) (excluding outliers, P = 0.002) and greater duration variability from one event to another in the same subject (P = 0.005). Significance: Our work provides the first quantified measure of behavioral semiology during epileptic and nonepileptic seizures and offers novel behavioral measures to differentiate them from each other.
DOI
10.1016/j.yebeh.2018.11.030
WOS
WOS:000456722900031
Archivio
https://hdl.handle.net/11390/1236134
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85058699650
https://ricerca.unityfvg.it/handle/11390/1236134
Diritti
metadata only access
Soggetti
  • Differential diagnosi...

  • Epilepsy

  • Nonepileptic seizure

  • Psychogenic

  • Seizure

  • Video-EEG

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