title: Evolving functional network properties and synchronizability during human epileptic seizures.
abstract: We assess electrical brain dynamics before, during, and after 100 human epileptic seizures with different anatomical onset locations by statistical and spectral properties of functionally defined networks. We observe a concave-like temporal evolution of characteristic path length and cluster coefficient indicative of a movement from a more random toward a more regular and then back toward a more random functional topology. Surprisingly, synchronizability was significantly decreased during the seizure state but increased already prior to seizure end. Our findings underline the high relevance of studying complex systems from the viewpoint of complex networks, which may help to gain deeper insights into the complicated dynamics underlying epileptic seizures.
authors.affiliation: Department of Epileptology, University of Bonn, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany. kaspar.schindler@gmail.com
authors.forename: Kaspar A
authors.initials: KA
authors.lastname: Schindler
authors.forename: Stephan
authors.initials: S
authors.lastname: Bialonski
authors.forename: Marie-Therese
authors.initials: MT
authors.lastname: Horstmann
authors.forename: Christian E
authors.initials: CE
authors.lastname: Elger
authors.forename: Klaus
authors.initials: K
authors.lastname: Lehnertz
mesh_terms: D000200:Action Potentials; D001683:Biological Clocks; D001921:Brain / Q000503:physiopathology*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology*; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000503:physiopathology*