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Published on: August 12, 2018
Finite difference time domain (FDTD) modeling of implanted deep brain stimulation electrodes and brain tissue
S R I Gabran1, J H Saad, M M A Salama
1Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada. sgabran@ieee.org
Summary
This study models deep brain stimulation (DBS) electrodes using finite difference time domain (FDTD) simulations. The findings offer crucial data for developing advanced DBS and intra-cortical electrodes.
Area of Science:
- Biomedical Engineering
- Computational Electromagnetics
- Neuroscience
Background:
- Deep brain stimulation (DBS) is a therapeutic approach for neurological disorders.
- Accurate modeling of implanted electrodes is essential for optimizing DBS therapy.
- Current models require validation against electromagnetic simulations.
Purpose of the Study:
- To perform electromagnetic modeling and simulation of a Medtronic DBS electrode.
- To investigate parameters affecting electric field distribution in brain tissue.
- To provide reference and benchmarking data for DBS and intra-cortical electrode development.
Main Methods:
- Utilized the finite difference time domain (FDTD) method for simulation.
- Developed a model in Empire XCcel representing the DBS electrode.
- Simulated the electrode within a homogenous and isotropic brain tissue medium.
Main Results:
- Successfully modeled the electromagnetic behavior of the DBS electrode.
- Identified key parameters influencing electric field distribution.
- Generated simulation data for electrode performance evaluation.
Conclusions:
- The FDTD model provides a valuable tool for understanding DBS electrode performance.
- This research supports the development of more effective DBS and intra-cortical devices.
- The simulation data can guide future electrode design and placement strategies.
