Research group leader


  • Heidemarie Gast, MD (Neurology)
  • Andreas Steimer, PhD (Neurology)
  • Frédéric Zubler, MD/PhD (Neurology)
  • Andrea Seiler, MD (Neurology)
  • Markus Fuchs, technician (Neurology)
  • Xenia Halfman, technician (Neurology)
  • Fabienne Utz, administration/managment (Neurology)

Research focuses

  • Seizure dynamics
  • State-dependent Information Flow in the Human Brain
  • Improving pre-surgical epilepsy diagnostics


  • Intracranial electroencephalogram (iEEG)
  • Time series analysis

Short description

The main goal of our research is to quantitatively characterize peri-seizure and state-specific changes of intracranially recorded EEG signals (iEEG) in order to derive diagnostically and therapeutically helpful information that is complementary to classical visual EEG interpretation by clinical experts. Specifically, we apply single- and multi-variate time series analysis techniques from information theory, random matrix and graph theory and Bayesian inference to better understand how human epileptic seizures emerge, propagate and terminate. We expect the results of our studies to potentially be key to better plan current resective epilepsy surgeries and better predict their outcome. In addition, they may also provide guidance for future minimally invasive neuromodulatory therapies, by helping to improve target selection.