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Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.

Publication ,  Journal Article
Gadhoumi, K; Lina, J-M; Gotman, J
Published in: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
October 2012

Identification of consistent distinguishing features between preictal and interictal periods in the EEG is an essential step towards performing seizure prediction. We propose a novel method to separate preictal and interictal states based on the analysis of the high frequency activity of intracerebral EEGs in patients with mesial temporal lobe epilepsy.Wavelet energy and entropy were computed in sliding window fashion from preictal and interictal epochs. A comparison of their organization in a 2 dimensional space was carried out using three features quantifying the similarities between their underlying states and a reference state. A discriminant analysis was then used in the features space to classify epochs. Performance was assessed based on sensitivity and false positive rates and validation was performed using a bootstrapping approach.Preictal and interictal epochs were discriminable in most patients on a subset of channels that were found to be close or within the seizure onset zone.Preictal and interictal states were separable using measures of similarity with the reference state. Discriminability varies with frequency bands.This method is useful to discriminate preictal from interictal states in intracerebral EEGs and could be useful for seizure prediction.

Duke Scholars

Published In

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

DOI

EISSN

1872-8952

ISSN

1388-2457

Publication Date

October 2012

Volume

123

Issue

10

Start / End Page

1906 / 1916

Related Subject Headings

  • Wavelet Analysis
  • Seizures
  • Neurology & Neurosurgery
  • Models, Neurological
  • Middle Aged
  • Male
  • Humans
  • Female
  • Epilepsy, Temporal Lobe
  • Entropy
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Gadhoumi, K., Lina, J.-M., & Gotman, J. (2012). Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology, 123(10), 1906–1916. https://doi.org/10.1016/j.clinph.2012.03.001
Gadhoumi, Kais, Jean-Marc Lina, and Jean Gotman. “Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology 123, no. 10 (October 2012): 1906–16. https://doi.org/10.1016/j.clinph.2012.03.001.
Gadhoumi K, Lina J-M, Gotman J. Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 2012 Oct;123(10):1906–16.
Gadhoumi, Kais, et al. “Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology, vol. 123, no. 10, Oct. 2012, pp. 1906–16. Epmc, doi:10.1016/j.clinph.2012.03.001.
Gadhoumi K, Lina J-M, Gotman J. Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 2012 Oct;123(10):1906–1916.
Journal cover image

Published In

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

DOI

EISSN

1872-8952

ISSN

1388-2457

Publication Date

October 2012

Volume

123

Issue

10

Start / End Page

1906 / 1916

Related Subject Headings

  • Wavelet Analysis
  • Seizures
  • Neurology & Neurosurgery
  • Models, Neurological
  • Middle Aged
  • Male
  • Humans
  • Female
  • Epilepsy, Temporal Lobe
  • Entropy