Research Projects

The microstructural EEG elements and their topographies relate to many neurophysiological functions of the brain and can reveal abnormalities. Spike and wave discharges, hallmark graphoelements of epilepsy EEG, are thought to play a key role in the several types of epilepsy.

We studied slow (≤2.5 Hz) nonevolving generalized periodic epileptiform discharges (GPEDs) in the electroencephalogram (EEG) of comatose patients after cardiac arrest (CA) in search of evidence that could assist early diagnosis of possible hypoxic nonconvulsive status epilepticus (NCSE) and its differentiation from terminal brain anoxia (BA), which can present with a similar EEG pattern.

Commonly, brain network connectivity studies derived from scalp EEG and intracranial EEG (iEEG, obtained from direct recordings from the brain following surgical implantation of electrodes) analyse entire recordings, which include normal brain activities, or lengthy rare events, such as epileptic seizures. For the first time here, we developed a MATLAB tool designed for the investigation of dynamic connectivity networks of encephalographic (EEG) elements, such as the sleep spindle or the epileptic spike wave discharge.