Influence of charges deposited on membranes of human hyperdirect pathway axons on depolarization during subthalamic deep brain stimulation
Year: 2023
Type: article
Abstract: Objective. The motor hyperdirect pathway (HDP) is a key target in the treatment of Parkinson’s disease with deep brain stimulation (DBS). Biophysical models of HDP DBS have been used to explore the mechanisms of stimulation. Built upon finite element method volume conductor solutions, such models are limited by a resolution mismatch, where the volume conductor is modeled at the macro scale, while the neural elements are at the micro scale. New techniques are needed to better integrate volume conductor models with neuron models. Approach. We simulated subthalamic DBS of the human HDP using finely meshed axon models to calculate surface charge deposition on insulting membranes of nonmyelinated axons. We converted the corresponding double layer extracellular problem to a single layer problem and applied the well-conditioned charge-based boundary element fast multipole method (BEM-FMM) with unconstrained numerical spatial resolution. Commonly used simplified estimations of membrane depolarization were compared with more realistic solutions. Main result. Neither centerline potential nor estimates of axon recruitment were impacted by the estimation method used except at axon bifurcations and hemispherical terminations. Local estimates of axon polarization were often much higher at bifurcations and terminations than at any other place along the axon and terminal arbor. Local average estimates of terminal electric field are higher by 10%–20%. Significance. Biophysical models of action potential initiation in the HDP suggest that axon terminations are often the lowest threshold elements for activation. The results of this study reinforce that hypothesis and suggest that this phenomenon is even more pronounced than previously realized.
Source: Journal of Neural Engineering
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: CRCNS: Multifocal causal mapping of brain networks supporting human cognition, Augmented Reality Platform for Deep Brain Stimulation, Near real-time system for high-resolution computationalTMS navigation, Center for Mesoscale Mapping, Charge-Based Brain Modeling Engine with Boundary Element Fast Multipole Method
OpenAlex ID: W4383746479
