title: Gamma (30-80Hz) bicoherence distinguishes seizures in the human epileptic brain.
abstract: We have applied wavelet bicoherence (BIC) analysis to human iEEG data to characterize non-linear frequency interactions in the human epileptic brain. Bicoherence changes were most prominent in the gamma (30-80 Hz) frequency band, and allowed for the differentiation between seizure and non-seizure states in all patients studied (n=3). While gamma band BIC values increased during seizure activity, this trend was only observed in a select number of electrode(s) located on the implanted patient subdural grids. Several studies have suggested that fast frequencies may play a role in the process of seizure genesis. While the small patient numbers limit the significance of our study, our results highlight the bicoherence of the gamma frequency band (30-80 Hz) as an ictal identifier, and suggest an active role of this fast frequency during seizures.
authors.forename: Marija
authors.initials: M
authors.lastname: Cotic
authors.forename: Yotin
authors.initials: Y
authors.lastname: Chinvarun
authors.forename: Mirna
authors.initials: M
authors.lastname: Guirgis
authors.forename: Peter L
authors.initials: PL
authors.lastname: Carlen
authors.forename: Berj L
authors.initials: BL
authors.lastname: Bardakjian
mesh_terms: D001921:Brain / Q000503:physiopathology; D004423:Ear; D004566:Electrodes; D004569:Electroencephalography; D006801:Humans; D012640:Seizures / Q000175:diagnosis*; D058067:Wavelet Analysis