OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling

Abstract

In this study, we propose a new open-source simulation platform that comprises computeraided design and computer-aided engineering tools for highly automated evaluation of electric field distribution and neural activation during Deep Brain Stimulation (DBS). It will be shown how a Volume Conductor Model (VCM) is constructed and examined using Pythoncontrolled algorithms for generation, discretization and adaptive mesh refinement of the computational domain, as well as for incorporation of heterogeneous and anisotropic properties of the tissue and allocation of neuron models. The utilization of the platform is facilitated by a collection of predefined input setups and quick visualization routines. The accuracy of a VCM, created and optimized by the platform, was estimated by comparison with a commercial software. The results demonstrate no significant deviation between the models in the electric potential distribution. A qualitative estimation of different physics for the VCM shows an agreement with previous computational studies. The proposed computational platform is suitable for an accurate estimation of electric fields during DBS in scientific modeling studies. In future, we intend to acquire SDA and EMA approval. Successful incorporation of open-source software, controlled by in-house developed algorithms, provides a highly automated solution. The platform allows for optimization and uncertainty quantification (UQ) studies, while employment of the open-source software facilitates accessibility and reproducibility of simulations.

Lead-OR: A Multimodal Platform for Deep Brain Stimulation Surgery

“…In a similar vein, we see larger potential in the field of activation tractography by studying stimulation spread across brain tissue (with biophysical models that could range around varying degrees of complexity (Butenko et al, 2020;Gunalan et al, 2017;Howell et al, 2019;Noecker et al, 2021).…”

Using a Digital Twin of an Electrical Stimulation Device to Monitor and Control the Electrical Stimulation of Cells in vitro

“…This reveals that the frequencies used in therapeutic applications such as DBS also contain high frequencies ( Gimsa et al, 2005 ). To obtain the frequency-domain representation of the signals, there exist two popular approaches: fast Fourier transform (FFT) of time-domain signals ( Butson and McIntyre, 2005 ) or the use of the analytically available expressions for the Fourier series ( Butenko et al, 2020 ). The main difference in the frequency spectra of the waveforms considered in this work is that the biphasic pulse has its main contribution at higher frequencies than the monophasic pulse ( Supplementary Figure S12–14 ).…”

Effective subthalamic and pallidal deep brain stimulation – are we modulating the same network?

“…66 Subsequent studies should aim at confirming results when applying more advanced electrode modelling concepts such as path activation or driving force models. 67-69…”