Abstract
Purpose
Deep brain stimulation provides electrical stimulation to the target brain region through implant electrode. Some of the electrodes cannot produce desired field distribution for greater therapeutic efficacy because of their configuration. This paper aims at analyzing electric field distribution for electrodes with various combinations of active contacts to get an optimum electrode for greater therapeutic efficacy of the neurological patients.
Methods
Various electrode configurations including monopolar, bipolar, tripolar, and quadripolar are simulated by COMSOL multiphysics (5.0 a). The potential distribution is calculated by using Laplace’s equation. The current density on the electrode contacts is determined by integrating the total amount of current delivered by the electrode.
Results
The simulation results confirm that tripolar electrode configuration provides highly concentrated electric field distribution and electrical current at the surface of the electrodes than the rest of the configurations.
Conclusion
The tripolar electrode configuration can localize the current delivery into specific populations of neurons to avoid undesirable axon activation. Hence, it can be applied to obtain maximum therapeutic efficacy for particular neurological disorders.
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References
Amon A, Alesch F. Systems for deep brain stimulation: review of technical features. J Neural Transm. 2017;124(9):1083–91.
Benabid AL, Chabardes S, Mitrofanis J, Pollak P. Deep brain stimulation of the subthalamic nucleus for the treatment of Parkinson's disease. Lancet Neurol. 2009;8(1):67–81.
Butson CR, McIntyre CC. Role of electrode design on the volume of tissue activated during deep brain stimulation. J Neural Eng. 2006;3(1):1–8.
Butson CR, McIntyre CC. Current steering to control the volume of tissue activated during deep brain stimulation. Brain Stimul. 2008;1:7–15. https://doi.org/10.1016/j.brs.2007.08.004.
Chen I, Lui F. Neuroanatomy, neuron action potential. Treasure Island: StatPearls Publishing; 2019. Available from: https://www.ncbi.nlm.nih.gov/books/NBK546639/
Chen Y-Y, Lai HY, Lin SH, Cho CW, Chao WH, Liao CH, et al. Design and fabrication of a polyimide-based microelectrode array: application in neural recording and repeatable electrolytic lesion in rat brain. J Neurosci Methods. 2009;182:6–16.
Chopra A, Klassen BT, Stead M. Current clinical application of deep-brain stimulation for essential tremor. Neuropsychiatr Dis Treat. 2013;9:1859.
Grill WM, Wei XF. High efficiency electrodes for deep brain stimulation. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE; 2009. p. 3298–301.
Gross GW. Simultaneous single unit recording in vitro with a photoetched laser deinsulated gold multimicroelectrode surface. IEEE Transactions on Biomedical Engineering. 1979:273–9.
Hammondc C, Ammari R, Bioulac BH, García L. Latest view on the mechanism of action of deep brain stimulation. Mov Disord. 2008;23(15):2111–21.
Keane M, Deyo S, Abosch A, Bajwa JA, Johnson MD. Improved spatial targeting with directionally segmented deep brain stimulation leads for treating essential tremor. J Neural Eng. 2012;9(4):046005.
Kuncel AM, Grill WM. Selection of stimulus parameters for deep brain stimulation. Clin Neurophysiol. 2004;115:2431–41. https://doi.org/10.1016/j.clinph.2004.05.031.
Limousin P, Martinez-Torres I. Deep brain stimulation for Parkinson’s disease. Neurotherapeutics. 2008;5(2):309–19.
Lozano AM, Mahant N. Deep brain stimulation surgery for Parkinson's disease: mechanisms and consequences. Parkinsonism Relat Disord. 2004;10:S49–57.
Macro electrode DBS stimulation: a dosimetric study. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology: IEEE; 2010. p. 2057–60.
Maggio F, Liberti M, Paffi A, Apollonio F, Parazzini M, Ravazzani P, et al. A three dimensional electromagnetic model for the DBS application. In: 4th International IEEE EMBS Conference on Neural Engineering (NER2009). Antalya: IEEE; 2009. https://doi.org/10.1109/NER.2009.5109225.
Maggio F, Pasciuto T, Paffi A, Apollonio F, Parazzini M, Ravazzani P, et al. Micro vs macro electrode DBS stimulation: adosimetric study. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology: IEEE; 2010. p. 2057–60.
Martens HC, Toader E, Decré MM, Anderson DJ, Vetter R, Kipke DR, et al. Spatial steering of deep brain stimulation volumes using a novel lead design. Clin Neurophysiol. 2011;122(3):558–66.
McIntyre CC, Grill WM, Sherman DL, Thakor NV. Cellular effects of deep brain stimulation: model-based analysis of activation and inhibition. J. Neurophysiol. 2004;91:1457–69. https://doi.org/10.1152/jn.00989.2003.
Medtronic, DBS for movement disorders lead kits implant manual (n.d.). Available online at: http://professional.medtronic.com/pt/neuro/dbs-md/prod/index.htm #section6.
Erwin B. Montgomery, Jr., MD Dr. Sigmund Rosen, “Deep brain stimulation programming principles and practice,” pp. 17–46, 2010.
Newman J. Current distribution on a rotating disk below the limiting current. J Electrochem Soc. 1966;113(12):1235–41.
Noy A. Bionanoelectronics. Advanced Materials. 2011;23:807–20.
Okun MS, Zeilman PR. Parkinson’s disease: guide to deep brain stimulation therapy, National Parkinson Foundation. 2nd ed: National Parkinson Foundation; 2014.
Petrossians A, Whalen JJ, Weiland JD. Improved electrode material for deep brain stimulation. In: 38th annual international conference of the IEEE engineering in medicine and biology society (EMBC) 2016 Aug 16: IEEE; 2016. p. 1798–801.
Sajib SZ, Oh TI, Kim HJ, Kwon OI, Woo EJ. In vivo mapping of current density distribution in brain tissues during deep brain stimulation (DBS). AIP Adv. 2017;7(1):015004.
Vafaiee M, Vossoughi M, Mohammadpour R, Sasanpour P. Gold-plated electrode with high scratch strength for electrophysiological recordings. Sci Rep. 2019;9. https://doi.org/10.1038/s41598-019-39138-w.
Vidya M, Sharat Divya M, Priyadarshini N, Rajkumar ER. Computational modelling and analysis of thermal characteristics of DBS electrode in application to Parkinson's disease. In: International Conference on Advances in Electrical Engineering (ICAEE): IEEE; 2014, 2014. p. 1–4.
Wei XF, Grill WM. Current density distributions, field distributions and impedance analysis of segmented deep brain stimulation electrodes. J Neural Eng. 2005;2(4):139–47.
Wei XF, Iyengar N, DeMaria AH. Iterative electrodes increase neural recruitment for deep brain stimulation. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE; 2015. p. 3419–22.
Wei X, Benmassaoud M, Meller M, Kuchibhatla S. Novel fractal planar electrode design for efficient neural stimulation. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE; 2016. p. 1802–5.
Yousif N, Liu X. Modeling the current distribution across the depth electrode–brain interface in deep brain stimulation. Expert Rev Med Devices. 2007;4(5):623–31.
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This research was not supported by any organization. However, we are thankful to our colleagues who provided expertise that greatly assisted the research.
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Sathi, K.A., Hosain, M.K. Modeling and simulation of deep brain stimulation electrodes with various active contacts. Res. Biomed. Eng. 36, 147–161 (2020). https://doi.org/10.1007/s42600-020-00060-0
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DOI: https://doi.org/10.1007/s42600-020-00060-0