Computational modeling of dorsal root ganglion stimulation using an Injectrode
- PMID: 38502956
- PMCID: PMC11007586
- DOI: 10.1088/1741-2552/ad357f
Computational modeling of dorsal root ganglion stimulation using an Injectrode
Abstract
Objective.Minimally invasive neuromodulation therapies like the Injectrode, which is composed of a tightly wound polymer-coated Platinum/Iridium microcoil, offer a low-risk approach for administering electrical stimulation to the dorsal root ganglion (DRG). This flexible electrode is aimed to conform to the DRG. The stimulation occurs through a transcutaneous electrical stimulation (TES) patch, which subsequently transmits the stimulation to the Injectrode via a subcutaneous metal collector. However, it is important to note that the effectiveness of stimulation through TES relies on the specific geometrical configurations of the Injectrode-collector-patch system. Hence, there is a need to investigate which design parameters influence the activation of targeted neural structures.Approach.We employed a hybrid computational modeling approach to analyze the impact of Injectrode system design parameters on charge delivery and neural response to stimulation. We constructed multiple finite element method models of DRG stimulation, followed by the implementation of multi-compartment models of DRG neurons. By calculating potential distribution during monopolar stimulation, we simulated neural responses using various parameters based on prior acute experiments. Additionally, we developed a canonical monopolar stimulation and full-scale model of bipolar bilateral L5 DRG stimulation, allowing us to investigate how design parameters like Injectrode size and orientation influenced neural activation thresholds.Main results.Our findings were in accordance with acute experimental measurements and indicate that the minimally invasive Injectrode system predominantly engages large-diameter afferents (Aβ-fibers). These activation thresholds were contingent upon the surface area of the Injectrode. As the charge density decreased due to increasing surface area, there was a corresponding expansion in the stimulation amplitude range before triggering any pain-related mechanoreceptor (Aδ-fibers) activity.Significance.The Injectrode demonstrates potential as a viable technology for minimally invasive stimulation of the DRG. Our findings indicate that utilizing a larger surface area Injectrode enhances the therapeutic margin, effectively distinguishing the desired Aβactivation from the undesired Aδ-fiber activation.
Keywords: chronic pain; computer simulation; dorsal root ganglion; electric stimulation; injectrode; neuromodulation.
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Conflict of interest statement
M F, A J S, and K A L are co-founders of Neuronoff, Inc. S N, D J W, J K T, A J S, K A L, S F L, and M F are equity holders for Neuronoff Inc. A J S, M F, and S N are employees at Neuronoff, Inc. K A L is a scientific board member and has stock interests in NeuroOne Medical Inc. K A L is also a paid member of the scientific advisory board of Abbott, Cala Health, Blackfynn, Battelle, Neuronoff and Presidio Medical, and a paid consultant for the Alfred Mann Foundation, ONWARD, Restora Medical, Neuronoff and CVRx. KAL is a co-founder of NeuraWorx. D J W is a scientific board member for NeuroOne Medical Inc. and a paid consultant for Innervace. N V is currently an employee at Presidio Medical, developing SCS therapy for pain. N V was a contractor for Abbott Neuromodulation and a part-time employee of BioCircuit Technologies when the work was performed. N V is currently a consultant for NeuraWorx. J K T is a consultant for Presidio Medical. R D G is currently a consultant for Nalu Medical, Inc. S F L holds stock options, serves on the scientific advisory board, and receives research support from Presidio Medical Inc., and is a shareholder at Hologram Consultants, LLC. S F L also receives research support from Abbott Neuromodulation and Medtronic, Inc. None of these associations outside those to Neuronoff are directly relevant to the work presented in this manuscript. The rest of the authors have no conflicts to declare.
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Computational modeling of dorsal root ganglion stimulation using an Injectrode.bioRxiv [Preprint]. 2023 Sep 22:2023.09.20.558675. doi: 10.1101/2023.09.20.558675. bioRxiv. 2023. Update in: J Neural Eng. 2024 Apr 11;21(2). doi: 10.1088/1741-2552/ad357f. PMID: 37790562 Free PMC article. Updated. Preprint.
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