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Model-based Optimization of Lead Configurations in Deep Brain Stimulation

Authors:
Ruben Cubo
Mattias Åström
Alexander Medvedev

Keywords: Deep Brain Stimulation; Optimization; Convex optimization; Field Steering; Parkinson Disease

Abstract:
Deep Brain Stimulation (DBS) is an established treatment in Parkinson’s Disease whose underlying biological mechanisms are however unknown. Mathematical models aiming at a better understanding of how DBS works through the stimulation of the electrical field inside the brain tissue have been developed in the past years. This study deals with in silico optimization of the stimuli delivered to the brain using actual clinical data and a Finite Element Method (FEM) approach. The goal is to cover a given target volume and limit the spread of the stimulation beyond it to avoid possible side effects. The fraction of the volume of activated tissue within the target and the fraction of the stimulation field that spreads beyond it are computed in order to quantify the performance of the stimuli configuration. First, a state-of-the-art lead is considered, in both single active contact and multiple active contact stimulation scenarios. A comparison with a field-steering lead is further presented. The obtained results demonstrate feasibility of multiple contact stimulation through better shaping the stimuli and effectively using field steering.

Pages: 14 to 19

Copyright: Copyright (c) IARIA, 2015

Publication date: June 21, 2015

Published in: conference

ISSN: 2519-8440

ISBN: 978-1-61208-446-6

Location: Brussels, Belgium

Dates: from June 21, 2015 to June 26, 2016