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

ABSTRACT: 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

SUBMITTER: Gadhoumi K 

PROVIDER: S-EPMC4395084 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature