Localization of temporal lobe seizures with quantitative EEG

Anthony M. Murro; Yong D. Park; Don W. King; Brian B. Gallagher; Joseph R. Smith; Kimford J. Meador; Wanda Littelton

doi:10.1016/0013-4694(93)90080-F

Localization of temporal lobe seizures with quantitative EEG

Anthony M. Murro, Yong D. Park, Don W. King, Brian B. Gallagher, Joseph R. Smith, Kimford J. Meador, Wanda Littelton

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

In this study, we describe a quantitative EEG method for localization of seizure onset in 29 patients with temporal lobe epilepsy. We used right-left differences in relative power and a logistic regression to predict the side of seizure onset. The optimum bipolar channels were T4-T6/T3-T5 and the optimum frequency band was 4-10.5 Hz. Using a threshold probability of 0.75 for classification, the best quantitative EEG method classified 23 patients (79%) correctly, 2 patients (7%) incorrectly, and 4 patients (14%) as undetermined localization. In comparison, 3 electroencephalographers visually interpreted these same EEGs and classified 20-25 patients (69-86%) correctly, 1 patient (3%) incorrectly and 3-8 patients (10-28%) as undetermined localization. In the 8 patients classified as undetermined localization by at least one interpreter, the quantitative EEG method classified 5 patients correctly, 1 patient incorrectly and 2 patients as undetermined localization. These results suggest that quantitative EEG might improve the reliability of ictal EEG localization and potentially reduce the need for invasive intracranial EEG monitoring.

Original language	English (US)
Pages (from-to)	88-93
Number of pages	6
Journal	Electroencephalography and Clinical Neurophysiology
Volume	86
Issue number	2
DOIs	https://doi.org/10.1016/0013-4694(93)90080-F
State	Published - Feb 1993

Keywords

Discriminant analysis
Electroencephalography
Epilepsy
Fourier analysis
Seizure
Temporal lobe

ASJC Scopus subject areas

General Neuroscience
Clinical Neurology

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title = "Localization of temporal lobe seizures with quantitative EEG",

abstract = "In this study, we describe a quantitative EEG method for localization of seizure onset in 29 patients with temporal lobe epilepsy. We used right-left differences in relative power and a logistic regression to predict the side of seizure onset. The optimum bipolar channels were T4-T6/T3-T5 and the optimum frequency band was 4-10.5 Hz. Using a threshold probability of 0.75 for classification, the best quantitative EEG method classified 23 patients (79%) correctly, 2 patients (7%) incorrectly, and 4 patients (14%) as undetermined localization. In comparison, 3 electroencephalographers visually interpreted these same EEGs and classified 20-25 patients (69-86%) correctly, 1 patient (3%) incorrectly and 3-8 patients (10-28%) as undetermined localization. In the 8 patients classified as undetermined localization by at least one interpreter, the quantitative EEG method classified 5 patients correctly, 1 patient incorrectly and 2 patients as undetermined localization. These results suggest that quantitative EEG might improve the reliability of ictal EEG localization and potentially reduce the need for invasive intracranial EEG monitoring.",

keywords = "Discriminant analysis, Electroencephalography, Epilepsy, Fourier analysis, Seizure, Temporal lobe",

author = "Murro, {Anthony M.} and Park, {Yong D.} and King, {Don W.} and Gallagher, {Brian B.} and Smith, {Joseph R.} and Meador, {Kimford J.} and Wanda Littelton",

year = "1993",

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AU - Murro, Anthony M.

AU - Park, Yong D.

AU - King, Don W.

AU - Gallagher, Brian B.

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AU - Meador, Kimford J.

AU - Littelton, Wanda

PY - 1993/2

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N2 - In this study, we describe a quantitative EEG method for localization of seizure onset in 29 patients with temporal lobe epilepsy. We used right-left differences in relative power and a logistic regression to predict the side of seizure onset. The optimum bipolar channels were T4-T6/T3-T5 and the optimum frequency band was 4-10.5 Hz. Using a threshold probability of 0.75 for classification, the best quantitative EEG method classified 23 patients (79%) correctly, 2 patients (7%) incorrectly, and 4 patients (14%) as undetermined localization. In comparison, 3 electroencephalographers visually interpreted these same EEGs and classified 20-25 patients (69-86%) correctly, 1 patient (3%) incorrectly and 3-8 patients (10-28%) as undetermined localization. In the 8 patients classified as undetermined localization by at least one interpreter, the quantitative EEG method classified 5 patients correctly, 1 patient incorrectly and 2 patients as undetermined localization. These results suggest that quantitative EEG might improve the reliability of ictal EEG localization and potentially reduce the need for invasive intracranial EEG monitoring.

AB - In this study, we describe a quantitative EEG method for localization of seizure onset in 29 patients with temporal lobe epilepsy. We used right-left differences in relative power and a logistic regression to predict the side of seizure onset. The optimum bipolar channels were T4-T6/T3-T5 and the optimum frequency band was 4-10.5 Hz. Using a threshold probability of 0.75 for classification, the best quantitative EEG method classified 23 patients (79%) correctly, 2 patients (7%) incorrectly, and 4 patients (14%) as undetermined localization. In comparison, 3 electroencephalographers visually interpreted these same EEGs and classified 20-25 patients (69-86%) correctly, 1 patient (3%) incorrectly and 3-8 patients (10-28%) as undetermined localization. In the 8 patients classified as undetermined localization by at least one interpreter, the quantitative EEG method classified 5 patients correctly, 1 patient incorrectly and 2 patients as undetermined localization. These results suggest that quantitative EEG might improve the reliability of ictal EEG localization and potentially reduce the need for invasive intracranial EEG monitoring.

KW - Discriminant analysis

KW - Electroencephalography

KW - Epilepsy

KW - Fourier analysis

KW - Seizure

KW - Temporal lobe

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Localization of temporal lobe seizures with quantitative EEG

Abstract

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