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Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy.

Publication ,  Journal Article
Gadhoumi, K; Gotman, J; Lina, JM
Published in: PloS one
January 2015

Although treatment for epilepsy is available and effective for nearly 70 percent of patients, many remain in need of new therapeutic approaches. Predicting the impending seizures in these patients could significantly enhance their quality of life if the prediction performance is clinically practical. In this study, we investigate the improvement of the performance of a seizure prediction algorithm in 17 patients with mesial temporal lobe epilepsy by means of a novel measure. Scale-free dynamics of the intracerebral EEG are quantified through robust estimates of the scaling exponents--the first cumulants--derived from a wavelet leader and bootstrap based multifractal analysis. The cumulants are investigated for the discriminability between preictal and interictal epochs. The performance of our recently published patient-specific seizure prediction algorithm is then out-of-sample tested on long-lasting data using combinations of cumulants and state similarity measures previously introduced. By using the first cumulant in combination with state similarity measures, up to 13 of 17 patients had seizures predicted above chance with clinically practical levels of sensitivity (80.5%) and specificity (25.1% of total time under warning) for prediction horizons above 25 min. These results indicate that the scale-free dynamics of the preictal state are different from those of the interictal state. Quantifiers of these dynamics may carry a predictive power that can be used to improve seizure prediction performance.

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Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2015

Volume

10

Issue

4

Start / End Page

e0121182

Related Subject Headings

  • Young Adult
  • Seizures
  • Middle Aged
  • Male
  • Humans
  • General Science & Technology
  • Female
  • Epilepsy, Temporal Lobe
  • Electroencephalography
  • Adult
 

Citation

APA
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ICMJE
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Gadhoumi, K., Gotman, J., & Lina, J. M. (2015). Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy. PloS One, 10(4), e0121182. https://doi.org/10.1371/journal.pone.0121182
Gadhoumi, Kais, Jean Gotman, and Jean Marc Lina. “Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy.PloS One 10, no. 4 (January 2015): e0121182. https://doi.org/10.1371/journal.pone.0121182.
Gadhoumi, Kais, et al. “Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy.PloS One, vol. 10, no. 4, Jan. 2015, p. e0121182. Epmc, doi:10.1371/journal.pone.0121182.

Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2015

Volume

10

Issue

4

Start / End Page

e0121182

Related Subject Headings

  • Young Adult
  • Seizures
  • Middle Aged
  • Male
  • Humans
  • General Science & Technology
  • Female
  • Epilepsy, Temporal Lobe
  • Electroencephalography
  • Adult