title: Resolution revolution: epilepsy dynamics at the microscale.
abstract: Our understanding of the neuronal mechanisms behind epilepsy dynamics has recently advanced due to the application of novel technologies, monitoring hundreds of neurons with single cell resolution. These developments have provided new theories on the relationship between physiological and pathological states, as well as common motifs for the propagation of paroxysmal activity. Although traditional electroencephalogram (EEG) recordings continue to describe normal network oscillations and abnormal epileptic events within and outside of the seizure focus, analysis of epilepsy dynamics at the microscale has found variability in the composition of macroscopically repetitive epileptiform events. These novel results point to heterogeneity in the underlying dynamics of the disorder, highlighting both the need and potential for more specific and targeted therapies.
authors.affiliation: Department of Anatomy and Neurobiology, University of California, Irvine, CA 92697, USA.
authors.forename: Gergely G
authors.initials: GG
authors.lastname: Szabo
authors.affiliation: Department of Anatomy and Neurobiology, University of California, Irvine, CA 92697, USA.
authors.forename: Calvin J
authors.initials: CJ
authors.lastname: Schneider
authors.affiliation: Department of Anatomy and Neurobiology, University of California, Irvine, CA 92697, USA. Electronic address: isoltesz@uci.edu.
authors.forename: Ivan
authors.initials: I
authors.lastname: Soltesz
mesh_terms: D000818:Animals; D001921:Brain / Q000473:pathology* / Q000503:physiopathology*; D004569:Electroencephalography; D004827:Epilepsy / Q000473:pathology*; D006801:Humans; D009415:Nerve Net / Q000503:physiopathology*; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics