Prof. Ursula van Rienen | Computational studies on the volume of activated tissue in deep brain stimulation

Guest Lecture

  • Date: Feb 2, 2018
  • Time: 10:00 AM - 11:00 AM (Local Time Germany)
  • Speaker: Prof. Ursula van Rienen
  • Institute of General Electrical Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany
  • Location: MPI for Human Cognitive and Brain Sciences
  • Room: Wilhelm Wundt Room (A400)
  • Host: Methods and Development Group "MEG and Cortical Networks"
  • Contact: muschall@cbs.mpg.de
Deep Brain Stimulation (DBS) is a widely used neuronal stimulation therapy for movement disorders like Parkinson's disease and dystonias, yet meanwhile also applied to psychological disorders like depression. Simulation studies can help for a deeper understanding of this therapy and, in future, for a patient-specific therapy planning preventing side-effects as well. On the other hand, they can help e.g. to optimally select stimulation parameters in animal models.

The dielectric properties of biological tissue are based on experimental data and are subject to uncertainty, which arises from difficulties associated with the measuring process such as electrode polarisation at low frequencies, changes in the conditions of the tissue samples post mortem, and inter-individual variations. Based on the current state of measurement techniques for the dielectric properties of biological tissue, it can be assumed that uncertainty in these measurements and the resulting tissue properties will be a non-negligible factor, which has to be considered in computational models of bio-electrical applications.

In this contribution, we will introduce to the simulation pipeline including uncertainty quantification and show some exemplary simulation results.

Poster
Go to Editor View