ArticlePLoS computational biology2020
OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 57 citations in OpenAlex.
- Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease.Annals of neurology · 2026Article
- Article
- Optimal Deep Brain Stimulation Locations for Gilles de la Tourette Syndrome.medRxiv : the preprint server for health sciences · 2026Article
- Deep brain stimulation for obsessive-compulsive disorder: evolution of tractography-based targeting.Journal of neurosurgery · 2026Article
- Subthalamic Deep Brain Stimulation: Mapping Non-Motor Outcomes to Structural Connections.Human brain mapping · 2025Article
- Activation metrics for structural connectivity recruitment in deep brain stimulation.Brain communications · 2025Article
- Patient-specific and interpretable deep brain stimulation optimisation using MRI and clinical review data.Frontiers in neuroscience · 2025Article
- Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation.Scientific reports · 2024Article
- Deep brain stimulation of symptom-specific networks in Parkinson's disease.Nature communications · 2024Article
- Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation.Frontiers in neuroinformatics · 2024Article
- Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review.Frontiers in human neuroscience · 2024Review
- Subthalamic nucleus but not entopeduncular nucleus deep brain stimulation enhances neurogenesis in the SVZ-olfactory bulb system of Parkinsonian rats.Frontiers in cellular neuroscience · 2024Article
- Adaptive octree meshes for simulation of extracellular electrophysiology.Journal of neural engineering · 2023Article
- Dopamine depletion leads to pathological synchronization of distinct basal ganglia loops in the beta band.PLoS computational biology · 2023Article
- Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks.NeuroImage · 2023Article
- Article
- Optimal deep brain stimulation sites and networks for cervical vs. generalized dystonia.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization.Frontiers in neuroscience · 2022Review
- Using a Digital Twin of an Electrical Stimulation Device to Monitor and Control the Electrical Stimulation of CellsFrontiers in bioengineering and biotechnology · 2021Article
- Numerical Study on Electrode Design for Rodent Deep Brain Stimulation With Implantations Cranial to Targeted Nuclei.Frontiers in computational neuroscience · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we propose a new open-source simulation platform that comprises computer-aided 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 Python-controlled 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.