title: Detection of spectral instability in EEG recordings during the preictal period.
abstract: The study of EEG recordings during the interval prior to an epileptic seizure onset--the preictal period--is likely to detect changes in the ongoing brain activity consistent with seizure anticipation. A novel index of spectral instability (ISpI) based on multiple abrupt changes of EEG spectral features is presented here. Based on the analysis of control records, robust M-estimates are used to calculate the threshold and avoid false warnings. The results obtained with a small data set (three patients, ten preictal records per patient) have shown that the ISpI index provided a warning flag that anticipated the seizure onset by 13.1 (SD = 4.0) min on average.
authors.affiliation: Inserm U318, Laboratoire de Neurosciences Précliniques, Grenoble, France. Tatyana.Aksyonova@ujf-grenoble.fr
authors.forename: Tatyana I
authors.initials: TI
authors.lastname: Aksenova
authors.forename: Vladimir V
authors.initials: VV
authors.lastname: Volkovych
authors.forename: Alessandro E P
authors.initials: AE
authors.lastname: Villa
mesh_terms: D000465:Algorithms; D001921:Brain / Q000503:physiopathology*; D003627:Data Interpretation, Statistical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity