title: Classification of high frequency oscillations in epileptic intracerebral EEG.
abstract: High Frequency Oscillations (HFOs 40-500 Hz), recorded from intracerebral electroencephalography (iEEG) in epileptic patients, are categorized into four distinct sub-bands (Gamma, High-Gamma, Ripples and Fast Ripples). They have recently been used as a reliable biomarker of epileptogenic zones. The objective of this paper is to investigate the possibility of discriminating between the different classes of HFOs which physiological/pathological value is critical for diagnostic but remains to be clarified. The proposed method is based on the definition of a relevant feature vector built from energy ratios (computed using Wavelet Transform-WT) in a-priori-defined frequency bands. It makes use of a multiclass Linear Discriminant Analysis (LDA) and is applied to iEEG signals recorded in patients candidate to epilepsy surgery. Results obtained from bootstrap on training/test datasets indicate high performances in terms of sensitivity and specificity.
authors.forename: Nisrine
authors.initials: N
authors.lastname: Jrad
authors.forename: Amar
authors.initials: A
authors.lastname: Kachenoura
authors.forename: Isabelle
authors.initials: I
authors.lastname: Merlet
authors.forename: Anca
authors.initials: A
authors.lastname: Nica
authors.forename: Christian G
authors.initials: CG
authors.lastname: Benar
authors.forename: Fabrice
authors.initials: F
authors.lastname: Wendling
mesh_terms: D001921:Brain; D004569:Electroencephalography; D004827:Epilepsy; D006801:Humans; D012680:Sensitivity and Specificity; D058067:Wavelet Analysis