Extracting the transition network of epileptic seizure onset

In presurgical monitoring, focal seizure onset is visually assessed from intracranial electroencephalogram (EEG), typically based on the selection of channels that show strongest changes in amplitude and frequency. As epileptic dynamics increasingly considered to reflect potentially distributed neural networks, it becomes important also assess interrelationships between channels. We propose a workflow quantitatively extract nodes edges contributing using an across-seizure scoring. quantification consistency EEG channel contributions within patient. The exemplified recordings patients with different degrees seizure-onset consistency.