title: Periodicity in functional brain networks: application to scalp EEG from epilepsy patients.
abstract: Seizure detection and prediction studies using scalp- or intracranial-EEG measurements often focus on short-length recordings around the occurrence of the seizure, normally ranging between several seconds and up to a few minutes before and after the event. The underlying assumption in these studies is the presence of a relatively constant EEG activity in the interictal period, that is presumably interrupted by the occurrence of a seizure, at the time the seizure starts or slightly earlier. In this study, we put this assumption under test, by examining long-duration scalp EEG recordings, ranging between 22 and 72 hours, of five patients with epilepsy. For each patient, we construct functional brain networks, by calculating correlations between the scalp electrodes, and examine how these networks vary in time. The results suggest not only that the network varies over time, but it does so in a periodic fashion, with periods ranging between 11 and 25 hours.
authors.forename: Manolis
authors.initials: M
authors.lastname: Christodoulakis
authors.forename: Avgis
authors.initials: A
authors.lastname: Hadjipapas
authors.forename: Eleftherios S
authors.initials: ES
authors.lastname: Papathanasiou
authors.forename: Maria
authors.initials: M
authors.lastname: Anastasiadou
authors.forename: Savvas S
authors.initials: SS
authors.lastname: Papacostas
authors.forename: Georgios D
authors.initials: GD
authors.lastname: Mitsis
mesh_terms: D001921:Brain / Q000503:physiopathology*; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D009415:Nerve Net / Q000503:physiopathology; D010507:Periodicity; D012535:Scalp / Q000503:physiopathology*; D013997:Time Factors