Termination patterns of stimulus-induced rhythmic, periodic, or ictal patterns and spontaneous electrographic seizures

Research output: Contribution to journalArticle

Abstract

Objective To investigate the ability of the evolution and termination patterns to distinguish stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs) from spontaneous electrographic seizures, a challenge to the neurophysiologist and clinician. Methods We screened the prospectively collected database of patients undergoing continuous EEG (cEEG) and identified 25 cases of SIRPIDs. We compared patients with SIRPIDs to 25 patients with spontaneous seizures. Two experienced neurophysiologists graded the termination pattern of both on fast fourier transform (FFT) as “abrupt” or “sputtering.” Results The identification of a “sputtering” or cyclical tapering pattern accurately discriminated SIRPIDs from spontaneous seizures with 88% sensitivity and 87% specificity, yielding a positive predictive value of 82% for SIRPIDs when the pattern was present (negative predictive value 87% when the sputtering termination was not seen). Similarly, the identification of an “abrupt” termination pattern identified clinically determined seizures with 84% sensitivity and 88% specificity. Conclusions The termination pattern quickly and accurately distinguishes SIRPIDs from spontaneous seizures, suggesting that at least some SIRPIDs have an underlying mechanism distinct from that of spontaneous seizures. Significance If validated in other studies, the use of evolution and termination patterns to classify EEG patterns as epileptiform seizures versus SIRPIDs will help guide treatment of these patients.

Original languageEnglish (US)
Pages (from-to)2279-2285
Number of pages7
JournalClinical Neurophysiology
Volume128
Issue number11
DOIs
StatePublished - Nov 1 2017

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Seizures
Stroke
Electroencephalography
Sensitivity and Specificity
Fourier Analysis
Databases

Keywords

  • Ictal
  • Quantitative EEG
  • Seizure
  • SIRPIDs
  • Stimulus induced

ASJC Scopus subject areas

  • Sensory Systems
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

Cite this

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title = "Termination patterns of stimulus-induced rhythmic, periodic, or ictal patterns and spontaneous electrographic seizures",
abstract = "Objective To investigate the ability of the evolution and termination patterns to distinguish stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs) from spontaneous electrographic seizures, a challenge to the neurophysiologist and clinician. Methods We screened the prospectively collected database of patients undergoing continuous EEG (cEEG) and identified 25 cases of SIRPIDs. We compared patients with SIRPIDs to 25 patients with spontaneous seizures. Two experienced neurophysiologists graded the termination pattern of both on fast fourier transform (FFT) as “abrupt” or “sputtering.” Results The identification of a “sputtering” or cyclical tapering pattern accurately discriminated SIRPIDs from spontaneous seizures with 88{\%} sensitivity and 87{\%} specificity, yielding a positive predictive value of 82{\%} for SIRPIDs when the pattern was present (negative predictive value 87{\%} when the sputtering termination was not seen). Similarly, the identification of an “abrupt” termination pattern identified clinically determined seizures with 84{\%} sensitivity and 88{\%} specificity. Conclusions The termination pattern quickly and accurately distinguishes SIRPIDs from spontaneous seizures, suggesting that at least some SIRPIDs have an underlying mechanism distinct from that of spontaneous seizures. Significance If validated in other studies, the use of evolution and termination patterns to classify EEG patterns as epileptiform seizures versus SIRPIDs will help guide treatment of these patients.",
keywords = "Ictal, Quantitative EEG, Seizure, SIRPIDs, Stimulus induced",
author = "Emily Johnson and Kaplan, {Peter W} and Ritzl, {Eva Katharina}",
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AU - Johnson, Emily

AU - Kaplan, Peter W

AU - Ritzl, Eva Katharina

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N2 - Objective To investigate the ability of the evolution and termination patterns to distinguish stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs) from spontaneous electrographic seizures, a challenge to the neurophysiologist and clinician. Methods We screened the prospectively collected database of patients undergoing continuous EEG (cEEG) and identified 25 cases of SIRPIDs. We compared patients with SIRPIDs to 25 patients with spontaneous seizures. Two experienced neurophysiologists graded the termination pattern of both on fast fourier transform (FFT) as “abrupt” or “sputtering.” Results The identification of a “sputtering” or cyclical tapering pattern accurately discriminated SIRPIDs from spontaneous seizures with 88% sensitivity and 87% specificity, yielding a positive predictive value of 82% for SIRPIDs when the pattern was present (negative predictive value 87% when the sputtering termination was not seen). Similarly, the identification of an “abrupt” termination pattern identified clinically determined seizures with 84% sensitivity and 88% specificity. Conclusions The termination pattern quickly and accurately distinguishes SIRPIDs from spontaneous seizures, suggesting that at least some SIRPIDs have an underlying mechanism distinct from that of spontaneous seizures. Significance If validated in other studies, the use of evolution and termination patterns to classify EEG patterns as epileptiform seizures versus SIRPIDs will help guide treatment of these patients.

AB - Objective To investigate the ability of the evolution and termination patterns to distinguish stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs) from spontaneous electrographic seizures, a challenge to the neurophysiologist and clinician. Methods We screened the prospectively collected database of patients undergoing continuous EEG (cEEG) and identified 25 cases of SIRPIDs. We compared patients with SIRPIDs to 25 patients with spontaneous seizures. Two experienced neurophysiologists graded the termination pattern of both on fast fourier transform (FFT) as “abrupt” or “sputtering.” Results The identification of a “sputtering” or cyclical tapering pattern accurately discriminated SIRPIDs from spontaneous seizures with 88% sensitivity and 87% specificity, yielding a positive predictive value of 82% for SIRPIDs when the pattern was present (negative predictive value 87% when the sputtering termination was not seen). Similarly, the identification of an “abrupt” termination pattern identified clinically determined seizures with 84% sensitivity and 88% specificity. Conclusions The termination pattern quickly and accurately distinguishes SIRPIDs from spontaneous seizures, suggesting that at least some SIRPIDs have an underlying mechanism distinct from that of spontaneous seizures. Significance If validated in other studies, the use of evolution and termination patterns to classify EEG patterns as epileptiform seizures versus SIRPIDs will help guide treatment of these patients.

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