Behavioral state classification in epileptic brain using intracranial electrophysiology.

Objective: Automated behavioral state classification can benefit next generation implantable epilepsy devices. In this study we explored the feasibility of automated awake (AW) and slow wave sleep (SWS) classification using wide bandwidth intracranial EEG (iEEG) in patients undergoing evaluation for epilepsy surgery.

Approach: Data from seven patients (age [Formula: see text], 4 women) who underwent intracranial depth electrode implantation for iEEG monitoring were included.

The functional organization of human epileptic hippocampus.

The function and connectivity of human brain is disrupted in epilepsy. We previously reported that the region of epileptic brain generating focal seizures, i.e.

Connectivity of epileptic brain regions in wake and sleep.

Focal epileptic brain is characterized by a region of pathological tissue seizure onset zone (SOZ) - the pathologic tissue generating seizures. During the interictal period (nonseizure) the SOZ is characterized by epileptiform activity - interictal spikes & high-frequency oscillations (HFO). The SOZ also exhibits hyper-synchrony and functional disconnection from the surrounding areas.

Open architecture software platform for biomedical signal analysis.

Biomedical signals are very important reporters of the physiological status in human body. Therefore, great attention is devoted to the study of analysis methods that help extracting the greatest amount of relevant information from these signals. There are several free of charge softwares which can process biomedical data, but they are usually closed architecture, not allowing addition of new functionalities by users.