DBSim

DBSim performs patient-specific finite element method (FEM) simulations of electric fields generated by deep brain stimulation (DBS) electrodes to model electrode–tissue interactions and tissue-specific conductivity effects.

Key Features:

• Integration with ELMA: ELMA classifies brain tissue into grey matter, white matter, blood, and cerebrospinal fluid and assigns electrical conductivities used in simulations.
• Finite element modeling with COMSOL Multiphysics: Uses COMSOL Multiphysics to perform FEM simulations of electric fields generated by DBS electrodes.
• Patient-specific simulations: Generates simulations customized to individual patients using ELMA-derived tissue classifications and conductivities.
• Support for multiple commercial leads: Simulates electric fields around Medtronic 3387 and 3389 and Abbott 6180 and 6181 leads.
• Comparative analysis of stimulation strategies: Enables comparison of different stimulation parameters, lead placements, and lead designs.

Scientific Applications:

• Electric field mapping: Characterizes electric field distribution around DBS electrodes to inform target selection.
• Electrode–tissue interaction analysis: Models how heterogeneous tissue properties affect stimulation spread and intensity.
• Optimization of stimulation parameters: Supports evaluation of stimulation amplitudes, contacts, and lead placement for therapeutic effect.
• Neurological disorder studies: Facilitates research relevant to Parkinson's disease, essential tremor, and dystonia.

Methodology:

Uses COMSOL Multiphysics to perform finite element method (FEM) simulations of electric fields generated by DBS electrodes and uses ELMA to classify brain tissue (grey matter, white matter, blood, cerebrospinal fluid) and assign electrical conductivities.