by Prof. Dr. rer. nat. habil. Ursula van Rienen, Lehrstuhl Theoretische Elektrotechnik, Universität Rostock
06.09.2018, 17:00 h, TF, Aquarium
Deep Brain Stimulation (DBS) is a widely used neuronal stimulation therapy for movement disorders like Parkinson’s disease and dystonias. Simulation studies can help for a deeper understanding of this therapy and, in future, for a patient-specific therapy planning aiming to prevent side effects as well. On the other hand, simulations 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 to compute the Volume of Tissue Activated for a human model including uncertainty quantification and show some exemplary simulation results.