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Characteristics of the induced voltage between deep brain stimulation (DBS) device electrodes by a transcranial magnetic stimulation (TMS) device

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Abstract

The combination of deep brain stimulation (DBS) and transcranial magnetic stimulation (TMS) is expected to provide additional insights into the pathophysiology of some brain diseases. However, when using TMS in patients with DBS implants, the induced voltage between DBS electrodes presents the greatest risk of brain damage. This paper describes the characteristics of the induced DBS electrode voltage due to TMS. We first examined the TMS stimulus signal and the DBS output impedance characteristics, and then experimentally investigated the induced DBS electrode voltage for various DBS and TMS conditions. The results show that many factors impact the induced electrode voltage. The induced electrode voltage with DBS device working in the unipolar mode is greater than that with DBS device working in the bipolar mode. No matter DBS device is turned on or turned off, the induced electrode voltage is almost the same, but it can provide a significant addition to the original stimulus waveform. There are no significant differences in the induced DBS electrode voltage when the DBS system is working at different stimulus intensities. Lowering the TMS stimulus intensity could effectively reduce the induced DBS electrode voltage. The induced electrode voltage is also strongly related to the position of the TMS coil relative to the DBS lead. This study provides further information about the characteristics of the induced DBS electrode voltage in TMS applications and a reference for the combined use of DBS and TMS.

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References

  1. Hu B, Wang Q Y. The conditions for onset of beta oscillations in an extended subthalamic nucleus-globus pallidus network. Sci China Tech Sci, 2014, 57: 2020–2027

    Article  Google Scholar 

  2. Tang Y H, Zhang B D, Wu J J, et al. Parallel architecture and optimization for discrete-event simulation of spike neural networks. Sci China Tech Sci, 2013, 56: 509–517

    Article  Google Scholar 

  3. Awan N R, Lozano A, Hamani C. Deep brain stimulation: current and future perspectives. Neurosurg Focus, 2009, 27: E2

    Article  Google Scholar 

  4. Pascual-Leone A, Walsh V, Rothwell J. Transcranial magnetic stimulation in cognitive neuroscience-virtual lesion, chronometry, and functional connectivity. Curr Opin Neurobiol, 2000, 10: 232–237

    Article  Google Scholar 

  5. Cantello R, Tarletti R, Civardi C. Transcranial magnetic stimulation and Parkinson’s disease. Brain Res Rev, 2002, 38: 309–327

    Article  Google Scholar 

  6. Kühn A A, Brandt S A, Kupsch A, et al. Comparison of motor effects following subcortical electrical stimulation through electrodes in the globus pallidus internus and cortical transcranial magnetic stimulation. Exp Brain Res, 2004, 155: 48–55

    Article  Google Scholar 

  7. Hidding U, Bäumer T, Siebner H R, et al. MEP latency shift after implantation of deep brain stimulation systems in the subthalamic nucleus in patients with advanced Parkinson’s disease. Mov Disord, 2006, 21: 1471–1476

    Article  Google Scholar 

  8. Kumar R, Chen R, Ashby P. Safety of transcranial magnetic stimulation in patients with implanted deep brain stimulators. Mov Disord, 1999, 14: 157–158

    Article  Google Scholar 

  9. Shimojima Y, Morita H, Nishikawa N, et al. The safety of transcranial magnetic stimulation with deep brain stimulation instruments. Parkinsonism Relat Disord, 2010, 16: 127–131

    Article  Google Scholar 

  10. Rossi S, Hallett M, Rossini P M, et al. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin Neurophysiolo, 2009, 120: 2008–2039

    Article  Google Scholar 

  11. Kim D H, Won C, Georghiou G E. Assessment of the sensitivity to field localization of various parameters during transcranial magnetic stimulation. IEEE Trans Magn, 2007, 43: 4016–4022

    Article  Google Scholar 

  12. Yu Y, Li M, Zhang G H, et al. Design and application of high frequency repetitive transcranial magnetic stimulation system for clinical and animal tests (in Chinese). High Voltage Engine, 2013, 39: 181–187

    Google Scholar 

  13. ASTM Standard F2182. Standard test method for measurement of radio frequency induced heating on or near passive implants during magnetic resonance imaging. ASTM International, West Conshohocken, PA, 2011, doi: 10.1520/F2182-11A

    Google Scholar 

  14. Reilly J. Applied Bioelectricity: From Electrical Stimulation to Electropathology. New York: Springer-Verlag, 1998. 8–10

    Book  Google Scholar 

  15. Scholten A, Silny J. The interference threshold of unipolar cardiac pacemakers in extremely low frequency magnetic fields. J Med Eng Technol, 2001, 25: 185–194

    Article  Google Scholar 

  16. Williams P I, Marketos P, Crowther L J, et al. New designs for deep brain transcranial magnetic stimulation. IEEE Trans Magn, 2012, 48: 1171–1178

    Article  Google Scholar 

  17. Pantchenko O S, Seidman S J, Guag J W. Analysis of induced electrical currents from magnetic field coupling inside implantable neurostimulator leads. Bio Med Eng On Line, 2011, 10: 94

    Google Scholar 

  18. Erickson J H, Varrichio A J. Programmable switching device for implantable device. US Patent, 7532936B2, 2009-5-12

  19. Barreras F J, Echarri R, Echarri G. Implantable modular tissue stimulator. US Patent, 5941906, 1999-08-24

  20. Jalinous R. Guide to magnetic stimulation, 1998

    Google Scholar 

  21. Li J T, Liang Z, Ai Q Y, et al. Double butterfly coil for transcranial magnetic stimulation aiming at improving focality. IEEE Trans Magn, 2012, 48: 3509–3512

    Article  Google Scholar 

  22. Shen H. Neuroscience: Tuning the brain. Nature, 2014, 507: 290–292

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Aerospace, Tsinghua University, Beijing, 100084, China

    QingFeng Li, ShaoBo Chen, WeiMing Wang, HongWei Hao & LuMing Li

  2. National Engineering Laboratory for Neuromodulation, Beijing, 100084, China

    QingFeng Li, ShaoBo Chen, WeiMing Wang, HongWei Hao & LuMing Li

  3. Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing, 100084, China

    LuMing Li

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  1. QingFeng Li
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  2. ShaoBo Chen
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  3. WeiMing Wang
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  4. HongWei Hao
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Correspondence to LuMing Li.

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Li, Q., Chen, S., Wang, W. et al. Characteristics of the induced voltage between deep brain stimulation (DBS) device electrodes by a transcranial magnetic stimulation (TMS) device. Sci. China Technol. Sci. 58, 1062–1071 (2015). https://doi.org/10.1007/s11431-015-5832-1

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  • DOI: https://doi.org/10.1007/s11431-015-5832-1

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