Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

Epilepsy is now conceptualized as a network disease. The epileptic brain network
comprises structurally and functionally connected cortical and subcortical brain regions …

Electroencephalography (EEG) is a widely employed tool for exploring brain dynamics and
is used extensively in various domains, ranging from clinical diagnosis via neuroscience …

Transcutaneous auricular vagus nerve stimulation (taVNS) is a novel non-invasive brain
stimulation technique considered as a potential supplementary treatment option for subjects …

Objective Identifying abnormalities on interictal intracranial electroencephalogram (iEEG),
by comparing patient data to a normative map, has shown promise for the localization of …

A lot of mileage has been made recently on the long and winding road toward seizure
forecasting. Here we briefly review some selected milestones passed along the way, which …

We investigate the suitability of selected measures of complexity based on recurrence
quantification analysis and recurrence networks for an identification of pre-seizure states in …

We investigate the temporal and spatial variability of the importance of brain regions in
evolving epileptic brain networks. We construct these networks from multiday, multichannel …

Large cascades are a common occurrence in many natural and engineered complex
systems. In this paper we explore the propagation of cascades across networks using …

Objective Predicting postoperative seizure freedom using functional correlation networks
derived from interictal intracranial electroencephalography (EEG) has shown some success …