ArticleBrain stimulation
Role of Soft-Tissue Heterogeneity in Computational Models of Deep Brain Stimulation.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 66 citations in OpenAlex.
- Patient Semi-specific Computational Modeling of Electromagnetic Stimulation Applied to Neuroprotective Treatments in Acute Ischemic Stroke.Scientific reports · 2020Trial
- Network state transitions under deep brain stimulation: A Wilson-Cowan model of Parkinson's Disease.Journal of computational neuroscience · 2026Article
- HETEROGENEOUS PERIDYNAMIC NEURAL OPERATORS: DISCOVER BIOTISSUE CONSTITUTIVE LAW AND MICROSTRUCTURE FROM DIGITAL IMAGE CORRELATION MEASUREMENTS.Foundations of data science (Springfield, Mo.) · 2025Article
- Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies.Frontiers in computational neuroscience · 2025Article
- Neural pathways associated with reduced rigidity during pallidal deep brain stimulation for Parkinson's disease.Journal of neurophysiology · 2024Article
- Subcallosal cingulate deep brain stimulation evokes two distinct cortical responses via differential white matter activation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Influence of charges deposited on membranes of human hyperdirect pathway axons on depolarization during subthalamic deep brain stimulation.Journal of neural engineering · 2023Article
- Measuring and modeling the effects of vagus nerve stimulation on heart rate and laryngeal muscles.Bioelectronic medicine · 2023Article
- Predictive Design and Analysis of Drug Transport by Multiscale Computational Models Under Uncertainty.Pharmaceutical research · 2023Review
- Role of the volume conductor on simulations of local field potential recordings from deep brain stimulation electrodes.PloS one · 2023Article
- A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues From Digital Image Correlation Measurements.Journal of biomechanical engineering · 2022Article
- Boundary element fast multipole method for modeling electrical brain stimulation with voltage and current electrodes.Journal of neural engineering · 2021Article
- StimVision v2: Examples and Applications in Subthalamic Deep Brain Stimulation for Parkinson's Disease.Neuromodulation : journal of the International Neuromodulation Society · 2021Article
- Comparison of methodologies for modeling directional deep brain stimulation electrodes.PloS one · 2021Article
- OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling.PLoS computational biology · 2020Article
- Effect of Biophysical Model Complexity on Predictions of Volume of Tissue Activated (VTA) during Deep Brain Stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Comparing Current Steering Technologies for Directional Deep Brain Stimulation Using a Computational Model That Incorporates Heterogeneous Tissue Properties.Neuromodulation : journal of the International Neuromodulation Society · 2020Article
- Current Directions in Deep Brain Stimulation for Parkinson's Disease-Directing Current to Maximize Clinical Benefit.Neurology and therapy · 2020Review
- Biophysical reconstruction of the signal conduction underlying short-latency cortical evoked potentials generated by subthalamic deep brain stimulation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020Article
- ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling.Frontiers in computational neuroscience · 2020Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundBioelectric field models of deep brain stimulation (DBS) are commonly utilized in research and industrial applications. However, the wide range of different representations used for the human head in these models may be responsible for substantial variance in the stimulation predictions.
objectiveDetermine the relative error of ignoring cerebral vasculature and soft-tissue heterogeneity outside of the brain in computational models of DBS.
methodsWe used a detailed atlas of the human head, coupled to magnetic resonance imaging data, to construct a range of subthalamic DBS volume conductor models. We incrementally simplified the most detailed base model and quantified changes in the stimulation thresholds for direct activation of corticofugal axons.
resultsIgnoring cerebral vasculature altered predictions of stimulation thresholds by <10%, whereas ignoring soft-tissue heterogeneity outside of the brain altered predictions between -44 % and 174%.
conclusionsHeterogeneity in the soft tissues of the head, if unaccounted for, introduces a degree of uncertainty in predicting electrical stimulation of neural elements that is not negligible and thereby warrants consideration in future modeling studies.
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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.