Skip to main content

Magnetic Stimulation of Neural Tissue: Techniques and System Design

  • Chapter
  • First Online:
Book cover Implantable Neural Prostheses 1

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

Abstract

Magnetic stimulation of neural tissue is an attractive technology because neural excitation may be affected without the implantation of electrodes. This chapter provides a brief overview of the technology and relevant literature. While extensive magnetic stimulation modeling and clinical experimentation work has been presented, considerably less quantitative in vitro work has been performed. In vitro experiments are critical for characterizing the site of action, the structures stimulated, and the long-term tissue histological effects. In vitro systems may also facilitate the development of novel magnetic stimulation approaches. To demystify magnetic stimulation systems, this chapter presents an in vitro experimental system using a systematic design methodology. The modeling methods are designed to aid experimentation. Circuit schematics, test rigs, and supplier information are given to support practical implementation of this design methodology. Example neural preparations and their modeling and use are also covered. Finally, as an alternative to pulsed discharge circuits for magnetic stimulation, this chapter shows how to use a circuit to deliver asymmetric current pulses to generate the magnetic field.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Weintraub, M.I. and S.P. Cole, Pulsed magnetic field therapy in refractory neuropathic pain secondary to peripheral neuropathy: electrodiagnostic parameters – pilot study. Neurorehabilitation and Neural Repair, 2004, 18(1): 42.

    Google Scholar 

  2. Pujol, J., et al., The effect of repetitive magnetic stimulation on localized musculoskeletal pain. Neuroreport, 1998, 9(8): 1745–1748.

    Google Scholar 

  3. Basser, P.J. and B.J. Roth, New currents in electrical stimulation of excitable tissues. Annual Review of Biomedical Engineering, 2000, 2(1): 377–397.

    Google Scholar 

  4. Barker, A.T., The history and basic principles of magnetic nerve stimulation. Electroencephalogr Clin Neurophysiol Suppl, 1999, 51: 3–21.

    MathSciNet  Google Scholar 

  5. Geddes, L.A., History of magnetic stimulation of the nervous system. J Clin Neurophysiol, 1991, 8(1): 3–9.

    Google Scholar 

  6. Hallett, M., Transcranial magnetic stimulation and the human brain. Nature, 2000, 406(6792): 147–150.

    Google Scholar 

  7. George, M.S., et al., Transcranial magnetic stimulation. Neurosurgery Clinics of North America, 2003, 14(2): 283–301.

    Google Scholar 

  8. Hallett, M., Transcranial magnetic stimulation: a primer. Neuron, 2007, 55(2): 187–199.

    MathSciNet  Google Scholar 

  9. Kato, M., Electromagnetics in biology. 2006, Tokyo: Springer. xv, 324p.

    Google Scholar 

  10. Ji, R.-R., et al., Repetitive transcranial magnetic stimulation activates specific regions in rat brain. Proceedings of the National Academy of Sciences of the United States of America, 1998, 95(26): 15635–15640.

    Google Scholar 

  11. Li, G.N. and D. Hoffman-Kim, Tissue-engineered platforms of axon guidance. Tissue Engineering Part B: Reviews, 2008, 14(1): 33–51.

    Google Scholar 

  12. Eaton, H.A.C. The electric field induced in a spherical volume conductor by a Magnetic Coil. in Engineering in Medicine and Biology Society, 1990, Proceedings of the Twelfth Annual International Conference of the IEEE. 1990.

    Google Scholar 

  13. Bencsik, M., R. Bowtell, and R.M. Bowley, Electric fields induced in a spherical volume conductor by temporally varying magnetic field gradients. Physics in Medicine and Biology, 2002(4): 557–576.

    Google Scholar 

  14. Ravazzani, P., et al., Magnetic stimulation of the nervous system: Induced electric field in unbounded, semi-infinite, spherical, and cylindrical media. Annals of Biomedical Engineering, 1996, 24(5): 606–616.

    Google Scholar 

  15. Roth, B.J. and P.J. Basser, A model of the stimulation of a nerve fiber by electromagnetic induction. Biomedical Engineering, IEEE Transactions on, 1990, 37(6): 588–597.

    Google Scholar 

  16. Miranda, P.C., et al., Tissue heterogeneity as a mechanism for localized neural stimulation by applied electric fields. Physics in Medicine and Biology, 2007, 52(18): 5603–5617.

    Google Scholar 

  17. Ye, H., M. Cotic, and P.L. Carlen, Transmembrane potential induced in a spherical cell model under low-frequency magnetic stimulation. Journal of Neural Engineering, 2007, 4(3): 283–293.

    Google Scholar 

  18. Rotem, A. and E. Moses, Magnetic stimulation of curved nerves. Biomedical Engineering, IEEE Transactions on, 2006, 53(3): 414–420.

    Google Scholar 

  19. Rotem, A. and E. Moses, Magnetic stimulation of one-dimensional neuronal cultures. Biophysical Journal, 2008.

    Google Scholar 

  20. References, S., et al., Magnetic coil stimulation of straight and bent amphibian and mammalian peripheral nerve in vitro: locus of excitation. Journal of Physiology, 1993, 460: 201–219.

    Google Scholar 

  21. Hsu, K.H., S.S. Nagarajan, and D.M. Durand, Analysis of efficiency of magnetic stimulation. Biomedical Engineering, IEEE Transactions on, 2003, 50(11): 1276–1285.

    Google Scholar 

  22. Engstrom, S. and R. Fitzsimmons, Five hypotheses to examine the nature of magnetic field transduction in biological systems. Bioelectromagnetics, 1999, 20(7): 423–430.

    Google Scholar 

  23. Struijk, J.J. and V. Schnabel, Difference between electrical and magnetic nerve stimulation: a case for the transverse field? Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, 2001, 1.

    Google Scholar 

  24. Wasserman, E., C.M. Epstein, and U. Ziemann, The Oxford handbook of transcranial stimulation. 2008, Oxford; New York: Oxford University Press. xiv, 747p.

    Google Scholar 

  25. Ridding, M.C. and J.C. Rothwell, Is there a future for therapeutic use of transcranial magnetic stimulation? Nature Reviews and Neuroscience, 2007, 8(7): 559–567.

    Google Scholar 

  26. Hodgkin, A.L. and W.A.H. Rushton, The electrical constants of a crustacean nerve fibre. Proceedings of the Royal Society of London. Series B, Biological Sciences (1934–1990), 1946, 133(873): 444–479.

    Google Scholar 

  27. Ranck, J.B., Which elements are excited in electrical stimulation of mammalian central nervous system: a review. Brain Research, 1975, 98(3): 417–440.

    Google Scholar 

  28. Patterson, M.M. and R.P. Kesner, Electrical stimulation research techniques. Methods in physiological psychology, 1981. New York: Academic Press. xv, 370p.

    Google Scholar 

  29. Rattay, F., Ways to approximate current-distance relations for electrically stimulated fibers. Journal of Theoretical Biology, 1987, 125(3): 339–349.

    Google Scholar 

  30. Rattay, F., Analysis of models for extracellular fiber stimulation. Biomedical Engineering, IEEE Transactions on, 1989, 36(7): 676–682.

    Google Scholar 

  31. Roth, B.J., Mechanisms for electrical stimulation of excitable tissue. Crit Rev Biomed Eng, 1994, 22(3–4): 253–305.

    Google Scholar 

  32. Plonsey, R. and R.C. Barr, Bioelectricity: a quantitative approach. 3rd ed. 2007, New York: Springer. xiv, 528p.

    MATH  Google Scholar 

  33. Schnabel, V. and J.J. Struijk, Evaluation of the cable model for electrical stimulation of unmyelinated nerve fibers. Biomedical Engineering, IEEE Transactions on 2001, 48(9): 1027–1033.

    Google Scholar 

  34. Zierhofer, C.M. and C.M. Zierhofer, Analysis of a linear model for electrical stimulation of axons-critical remarks on the “activating function concept”. Biomedical Engineering, IEEE Transactions on, 2001, 48(2): 173–184.

    Google Scholar 

  35. Hui, Y., et al. A New Model and improved cable function for representing the activating peripheral nerves by a transverse electric field during magnetic stimulation. In Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on. 2005.

    Google Scholar 

  36. Nagarajan, S.S., S.S. Nagarajan, and D.M. Durand, A generalized cable equation for magnetic stimulation of axons. Biomedical Engineering, IEEE Transactions on, 1996, 43(3): 304–312.

    Google Scholar 

  37. Struijk, J.J. and D.M. Durand. Magnetic peripheral nerve stimulation: axial versus transverse fields. in [Engineering in Medicine and Biology, 1999. 21st Annual Conf. and the 1999 Annual Fall Meeting of the Biomedical Engineering Soc.] BMES/EMBS Conference, 1999. Proceedings of the First Joint. 1999.

    Google Scholar 

  38. Hsu, K.H. and D.M. Durand, Prediction of neural excitation during magnetic stimulation usingpassive cable models. Biomedical Engineering, IEEE Transactions on, 2000, 47(4): 463–471.

    Google Scholar 

  39. Kai-Hsiung, H. and D.M. Durand. Determination of excitation thresholds of nerve fibers during magnetic stimulation. in Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE. 1996.

    Google Scholar 

  40. Suarez-Antola, R.E. The time constants for the electric stimulation of nerve an muscle fibers by point electrodes. in Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on. 2005.

    Google Scholar 

  41. Malmivuo, J. and R. Plonsey, Bioelectromagnetism: principles and applications of bioelectric and biomagnetic fields. 1995, New York: Oxford University Press. xxii, 482.

    Google Scholar 

  42. Irnich, W., Electrostimulation by time-varying magnetic fields. Magnetic Resonance Materials in Physics, Biology and Medicine, 1994, 2(1): 43–49.

    Google Scholar 

  43. Ruohonen, J., et al., Transverse-field activation mechanism in magnetic stimulation of peripheral nerves. Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control, 1996, 101(2): 167–174.

    Google Scholar 

  44. Roth, B.J., B.J. Roth, and P.J. Basser, A model of the stimulation of a nerve fiber by electromagnetic induction. Biomedical Engineering, IEEE Transactions on, 1990, 37(6): 588–597.

    Google Scholar 

  45. Carnevale, N.T. and M.L. Hines, The Neuron book. 2006, Cambridge, UK; New York: Cambridge University Press. xix, 457p.

    Google Scholar 

  46. Bower, J.M. and D. Beeman, The book of Genesis: exploring realistic neural models with the GEneral NEural SImulation System. 1998. Springer-Verlag New York, Inc. New York.

    Google Scholar 

  47. Zeng, L. and M.D. Dominique, Extracellular voltage profile for reversing the recruitment order of peripheral nerve stimulation: a simulation study. Journal of Neural Engineering, 2004, 4: 202.

    Google Scholar 

  48. Brauer, J.R., Magnetic actuators and sensors. 2006, Hoboken, NJ: Wiley. xii, 308p.

    Google Scholar 

  49. Claycomb, J.R., Applied electromagnetics using QuickField & MATLAB. 2008, Hingham, Mass: Infinity Science Press.

    Google Scholar 

  50. Lonngren, K.E., S.V. Savov, and R.J. Jost, Fundamentals of electromagnetics with MATLAB. 2007, Raleigh, NC: SciTech Pub. xx, 528p.

    Google Scholar 

  51. Davey, K., L. Luo, and D.A. Ross, Toward functional magnetic stimulation (FMS) theory and experiment. Biomedical Engineering, IEEE Transactions on, 1994, 41(11): 1024–1030.

    Google Scholar 

  52. Nagarajan, S.S., D.M. Durand, and E.N. Warman, Effects of induced electric fields on finite neuronal structures: a simulation study. Biomedical Engineering, IEEE Transactions on, 1993, 40(11): 1175–1188.

    Google Scholar 

  53. Durand, D., A.S. Ferguson, and T. Dalbasti, Effect of surface boundary on neuronal magnetic stimulation. Biomedical Engineering, IEEE Transactions on, 1992, 39(1): 58–64.

    Google Scholar 

  54. Davey, K. and M. Riehl, Designing transcranial magnetic stimulation systems. Magnetics, IEEE Transactions on, 2005, 41(3): 1142–1148.

    Google Scholar 

  55. Ren, L. and S. Ueno, Calculating the activating function of nerve excitation in inhomogeneous volume conductor during magnetic stimulation using the finite element method. Magnetics, IEEE Transactions on, 2000, 36(4): 1796–1799.

    Google Scholar 

  56. Mathis, J., et al., The boundary effect in magnetic stimulation. Analysis at the peripheral nerve. Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control, 1995, 97(5): 238–245.

    Google Scholar 

  57. Esselle, K.P. and M.A. Stuchly, Neural stimulation with magnetic fields: analysis of induced electric fields. Biomedical Engineering, IEEE Transactions on, 1992, 39(7): 693–700.

    Google Scholar 

  58. Olree, K.S. and K.W. Horch, Differential activation and block of peripheral nerve fibers by magnetic fields. Muscle and Nerve, 2006, 34(2): 189–196.

    Google Scholar 

  59. Alkhateeb, A. and R.P. Gaumond. Excitation of frog sciatic nerve using pulsed magnetic fields effect of waveform variations. in Engineering in Medicine and Biology Society, 1995, IEEE 17th Annual Conference. 1995.

    Google Scholar 

  60. Sommers, J.D. and R.P. Gaumond. Spacing analysis of a focal magnetic stimulating coil. 1997.

    Google Scholar 

  61. Wheeler, H.A., Inductance formulas for circular and square coils. Proceedings of the Ieee, 1982, 70(12): 1449–1450.

    Google Scholar 

  62. Mohan, S.S., et al., Simple accurate expressions for planar spiral inductances. Ieee Journal of Solid-State Circuits, 1999, 34(10): 1419–1424.

    Google Scholar 

  63. Lontis, E.R., M. Voigt, and J.J. Struijk, Focality assessment in transcranial magnetic stimulation with double and cone coils. Journal of Clinical Neurophysiology, 2006, 23(5): 463.

    Google Scholar 

  64. Peterchev, A.V., R. Jalinous, and S.H. Lisanby, A transcranial magnetic stimulator inducing near-rectangular pulses with controllable pulse width (cTMS). Biomedical Engineering, IEEE Transactions on, 2008, 55(1): 257–266.

    Google Scholar 

  65. Bronzino, J.D., A. Zangen, Y. Roth, B. Voller, and M. Hallett, “Transcranial magnetic stimulation of deep brain regions: evidence for efficacy of the H-coil” in The biomedical engineering handbook. 3rd ed. The electrical engineering handbook series. 2006, Boca Raton: CRC/Taylor and Francis.

    Google Scholar 

  66. Ren, C., P.P. Tarjan, and D.B. Popovic, A novel electric design for electromagnetic stimulation-the Slinkycoil. Biomedical Engineering, IEEE Transactions on, 1995, 42(9): 918–925.

    Google Scholar 

  67. Han, B., et al., Some technical aspects of magnetic stimulation coil design with the ferromagnetic effect. Medical and Biological Engineering and Computing, 2003, 41(5): 516–518.

    Google Scholar 

  68. Davey, K. and C.M. Epstein, Magnetic stimulation coil and circuit design. Biomedical Engineering, IEEE Transactions on, 2000, 47(11): 1493–1499.

    Google Scholar 

  69. Han, B.H., et al., Some technical aspects of magnetic stimulation coil design with the ferromagnetic effect. Medical and Biological Engineering and Computing, 2003, 41(5): 516–518.

    Google Scholar 

  70. Epstein, C.M. and K.R. Davey, Iron-core coils for transcranial magnetic stimulation. Journal of Clinical Neurophysiology, 2002, 19(4): 376.

    Google Scholar 

  71. Salvador, R., et al., High-permeability core coils for transcranial magnetic stimulation of deep brain regions. In Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. 2007.

    Google Scholar 

  72. Åke Öberg, P., Magnetic stimulation of nerve tissue. Medical and Biological Engineering and Computing, 1973, 11(1): 55–64.

    Google Scholar 

  73. Maass, J. and M. Asa, Contactless nerve stimulation and signal detection by inductive transducer. Magnetics, IEEE Transactions on, 1970, 6(2): 322–326.

    Google Scholar 

  74. Ueno, S., P. Lövsund, and P. Öberg, Effect of time-varying magnetic fields on the action potential in lobster giant axon. Medical and Biological Engineering and Computing, 1986, 24(5): 521–526.

    Google Scholar 

  75. Ueno, S., et al., Capacitive stimulatory effect in magnetic stimulation of nerve tissue. Magnetics, IEEE Transactions on, 1978, 14(5): 958–960.

    MathSciNet  Google Scholar 

  76. van den Bossche, A., Inductors and transformers for power electronics. 2005. Boca Raton, FL: CRC Press.

    Google Scholar 

  77. McLyman, C.W.T., W.T. McLyman, and M. McLyman, Transformer and inductor design handbook. 2004. Boca Raton, FL: CRC Press.

    Google Scholar 

  78. Van den Bossche, A., V. Valchev, and T. Filchev. Improved approximation for fringing permeances in gapped inductors. in Industry Applications Conference, 2002, 37th IAS Annual Meeting. Conference Record of the. 2002.

    Google Scholar 

  79. Zhi, Y., L. Wentai, and E. Basham, Inductor modeling in wireless links for implantable electronics. Magnetics, IEEE Transactions on, 2007, 43(10): 3851–3860.

    Google Scholar 

  80. Brauer, J.R. and I.D. Mayergoyz, Finite-element computation of nonlinear magnetic diffusion and its effects when coupled to electrical, mechanical, and hydraulic systems. Magnetics, IEEE Transactions on, 2004, 40(2): 537–540.

    Google Scholar 

  81. Venkatachalam, K., et al., Accurate prediction of ferrite core loss with nonsinusoidal waveforms using only Steinmetz parameters. Computers in Power Electronics, 2002, Proceedings. 2002 IEEE Workshop on, 2002: 36–41.

    Google Scholar 

  82. Jieli, L., et al. Improved calculation of core loss with nonsinusoidal waveforms. In Industry Applications Conference, 2001, Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE. 2001.

    Google Scholar 

  83. Hurley, W.G., E. Gath, and J.G. Breslin, Optimizing the AC resistance of multilayer transformer windings with arbitrary current waveforms. Power Electronics, IEEE Transactions on, 2000, 15(2): 369–376.

    Google Scholar 

  84. Travis, B., IGBTs and MOSFETs vie for applications. EDN, 1999, 44(9): 77–88.

    Google Scholar 

  85. Burke, A., Ultracapacitors: why, how, and where is the technology. Journal of Power Sources, 2000, 91(1): 37–50.

    Google Scholar 

  86. Slenes, K.M., et al., Pulse power capability of high energy density capacitors based on anew dielectric material. Magnetics, IEEE Transactions on, 2001, 37(1 Part 1): 324–327.

    Google Scholar 

  87. Prutchi, D. and M. Norris, Design and development of medical electronic instrumentation: a practical perspective of the design, construction, and test of medical devices. 2005, Hoboken, NJ: Wiley-Interscience, xv, 461p.

    Google Scholar 

  88. Pascual-Leone, A., Handbook of transcranial magnetic stimulation. 2002, New York: Arnold; Oxford University Press [distributor], x, 406p.

    Google Scholar 

  89. Webster, J.G. and J.W. Clark, Medical instrumentation : application and design. 3rd ed. 1998, New York: Wiley, xix, 691 p.

    Google Scholar 

  90. Geddes, L.A., Accuracy limitations of chronaxie values. Biomedical Engineering, IEEE Transactions on, 2004, 51(1): 176–181.

    Google Scholar 

  91. Beecroft, S.I., A. Alkhateeb, and R. Gaumond. Nerve fiber stimulation threshold for multiphase stimuli. In Bioengineering Conference, 1994. Proceedings of the 1994 20th Annual Northeast. 1994.

    Google Scholar 

  92. Pressman, A.I., Switching power supply design. 2nd ed. 1998, New York: McGraw-Hill, xviii, 682p.

    Google Scholar 

  93. Han, B.H., et al. Development of four-channel magnetic nerve stimulator. in Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE. 2001.

    Google Scholar 

  94. Polson, M.J., A.T. Barker, and I.L. Freeston, Stimulation of nerve trunks with time-varying magnetic fields. Med Biol Eng Comput, 1982, 20(2): 243–244.

    Google Scholar 

  95. Guide, C.D.A., Application guide, snubber capacitors. http://www.cde.com/catalogs/igbtAPPguide.pdf.

  96. Severns, R., Design of snubbers for power circuits. Cornell Dublier Technical Papers, online at http://www.cde.com/tech/design.pdf.

  97. Whites, K., RL Circuits, inductive kick, diode snubbers, lecture 4 EE322. http://whites.sdsmt.edu/classes/ee322/class_notes/322Lecture4.pdf, 2006.

  98. Motto, E., Hybrid circuits simplify IGBT modul gate drive, in PCIM. 1999. Europe.

    Google Scholar 

  99. Kratz, R. and P. Wyder, Principles of pulsed magnet design. Engineering materials. 2002, Berlin; New York: Springer, ix, 181p.

    Google Scholar 

  100. Smith, P.W., Transient electronics: pulsed circuit technology. 2002, New York: John Wiley, xi, 272 p.

    Google Scholar 

  101. Perreault, D. and S. Mogren, Magnetic Stimulator Power and Control Circuit, R.B. CArr (ed.) USPTO, 2003, Engineering, Onc: USA.

    Google Scholar 

  102. Basser, P.J., P.J. Basser, and B.J. Roth. Scaling laws for electromagnetic stimulation of an axon. In Engineering in Medicine and Biology Society, 1990. Proceedings of the Twelfth Annual International Conference of the IEEE. 1990.

    Google Scholar 

  103. Fink, D.G. and H.W. Beaty, Standard handbook for electrical engineers. 1999, New York: McGraw-Hill., p. v.

    Google Scholar 

  104. Mesut, S. and T. Yanmei, Non-rectangular waveforms for neural stimulation with practical electrodes. Journal of Neural Engineering, 2007, 3: 227.

    Google Scholar 

  105. Wada, S., et al., Effects of stimulus waveform on magnetic nerve stimulation. Japanese Journal of Applied Physics Part 1-Regular Papers Short Notes and Review Papers, 1996, 35(3): 1983–1988.

    MathSciNet  Google Scholar 

  106. Grill, W.M., W.M. Grill, and J.T. Mortimer, Stimulus waveforms for selective neural stimulation. Engineering in Medicine and Biology Magazine, IEEE, 1995, 14(4): 375–385.

    Google Scholar 

  107. Accornero, N., et al., Selective activation of peripheral-nerve fiber groups of different diameter by triangular shaped stimulus pulses. Journal of Physiology-London, 1977, 273(3): 539–560.

    Google Scholar 

  108. Havel, W.J., et al., Comparison of rectangular and damped sinusoidal dB/dt waveforms in magnetic stimulation. Magnetics, IEEE Transactions on, 1997, 33(5): 4269–4271.

    Google Scholar 

  109. Franco, S., Design with operational amplifiers and analog integrated circuits. 3rd ed. McGraw-Hill series in electrical and computer engineering. 2002, New York: McGraw-Hill, xiv, 658p.

    Google Scholar 

  110. Steele, J. and T. Green, Tame those versatile current source circuits. Elec. Des, 1992: 61–72.

    Google Scholar 

  111. Smith, S., A.S. Sedra, and K.C. Smith, Microelectronic circuits, 4th ed. 1998, New York: Oxford University Press.

    Google Scholar 

  112. Microtechnology, A., Application note 19, 2004 online at: http://apex.cirrus.com/en/products/apex/documents.html.

  113. Microtechnology, A., Loop stability with reactive loads, in Application Note 38, 2007 online at: http://apex.cirrus.com/en/products/apex/documents.html.

  114. Tian, M., et al., Striving for small-signal stability. Circuits and Devices Magazine, IEEE, 2001, 17(1): 31–41.

    Google Scholar 

  115. Engelhardt, M., Simulationsprogramm LT_SPICE (SwitcherCAD III).

    Google Scholar 

  116. Gray, P.R., Analysis and design of analog integrated circuits. 4th ed. 2001, New York: Wiley, xviii, 875p.

    Google Scholar 

  117. Williams, J., High speed amplifier techniques, Linear Technology Corporation. Application Note 47, 1991.

    Google Scholar 

  118. Williams, J., Power gain stages for monolithic amplifiers, Linear Technology Corporation. Application Note 18, March 1986.

    Google Scholar 

  119. Steele, J., Protect those expensive power Op amps. Electronic Design, 1991.

    Google Scholar 

  120. Stenzel, R.L., A new probe for measuring small electric fields in plasmas. Review of Scientific Instruments, 1991, 62: 130.

    Google Scholar 

  121. Glover, P.M. and R. Bowtell, Measurement of electric fields due to time-varying magnetic field gradients using dipole probes. Physics in Medicine and Biology, 2007, 52(17): 5119–5130.

    Google Scholar 

  122. Soonchil, L.E.E., L.E.E. Yongkwan, and Y.U. Insuk, Electric field in solenoids. Japanese Journal of Applied Physics, 2005, 44(7A): 5244–5248.

    Google Scholar 

  123. Kandel, E.R., J.H. Schwartz, and T.M. Jessell, Principles of neural science. 4th ed. 2000, New York: McGraw-Hill, Health Professions Division, xli, 1414p.

    Google Scholar 

  124. Willms, A.R., Neurofit: software for fitting Hodgkin-Huxley models to voltage-clamp data. Journal of Neuroscience Methods, 2002. 121: 139–150.

    Google Scholar 

  125. Horch, K.W. and G.S. Dhillon, Neuroprosthetics theory and practice. Series on bioengineering and biomedical engineering. 2004, River Edge, NJ: World Scientific, xxv, 1261p.

    Google Scholar 

  126. Lertmanorat, Z. and D.M. Durand, A novel electrode array for diameter-dependent control of axonal excitability: a Simulation study. Biomedical Engineering, IEEE Transactions on 2004, 51(7): 1242–50.

    Google Scholar 

  127. Glantz, R.M. and T. Viancour, Integrative properties of crayfish medial giant neuron: steady-state model. J Neurophysiol, 1983, 50(5): 1122–1142.

    Google Scholar 

  128. Watanabe, A. and H. Grundfest, Impulse propagation at the septal and commissural junctions of crayfish lateral giant axons. The Journal of General Physiology, 1961, 45(2): 267–308.

    Google Scholar 

  129. Mellon, D. and C. Kaars, Role of regional cellular geometry in conduction of excitation along a sensory neuron. Journal of Neurophysiology, 1974, 37(6): 1228–1238.

    Google Scholar 

  130. Haynes, L.W. and G.A. Kerkut, Response time constants in snail neurones. Cellular and Molecular Life Sciences (CMLS), 1977, 33(11): 1482–1483.

    Google Scholar 

  131. Ratte, S. and R. Chase, Synapse distribution of olfactory interneurons in the procerebrum of the snail Helix aspersa. The Journal of Comparative Neurology, 2000, 417(3): 366–384.

    Google Scholar 

  132. Gillary, H.L., Electrical responses from the eye ofHelix to photic stimulation and simultaneous electrical stimulation of the optic nerve. Vision Research, 1970, 10(10): 977–991.

    Google Scholar 

  133. Antkowiak, T. and R. Chase, Sensory innervation of the ovotestis in the snail Helix aspersa. Journal of Experimental Biology, 2003, 206(22): 3913–3921.

    Google Scholar 

  134. Clarac, F. and E. Pearlstein, Invertebrate preparations and their contribution to neurobiology in the second half of the 20th century. Brain Research Reviews, 2007, 54(1): 113–161.

    Google Scholar 

  135. William, R.K., Opportunities afforded by the study of unmyelinated nerves in skin and other organs. Muscle and Nerve, 2004, 29(6): 756–767.

    Google Scholar 

  136. Kerkut, G.A., et al., Mapping of nerve cells in the suboesophageal ganglia of Helix aspersa. Comparative Biochemistry and Physiology A, 1975, 50(1A): 1–25.

    Google Scholar 

  137. Prescott, S. and R. Chase, Two types of plasticity in the tentacle withdrawal reflex of Helix aspersa are dissociated by tissue location and response measure. Journal of Comparative Physiology A: Sensory, Neural, and Behavioral Physiology, 1996, 179(3): 407–414.

    Google Scholar 

  138. Wyttenbach, R.A., et al., Crawdad a CD-ROM lab manual for neurophysiology. 1999, Sinauer Associates.

    Google Scholar 

  139. Olivo, R.F., An online lab manual for neurophysiology. Journal of Undergraduate Neuroscience Education, 2003, 2: A16–A22.

    Google Scholar 

  140. Cattaert, D. and D. Le Ray, Adaptive motor control in crayfish. Progress in Neurobiology, 2001, 63(2): 199–240.

    Google Scholar 

  141. Jacklet, J.W., Neuronal and cellular oscillators. Cellular clocks. 1989, New York: Marcel Dekker, xiii, 553p.

    Google Scholar 

  142. Kettenmann, H. and R. Grantyn, Practical electrophysiological methods: a guide for in vitro studies in vertebrate neurobiology. 1992. New York: Wiley-Liss, xviii, 449p.

    Google Scholar 

  143. Stamford, J.A., Monitoring neuronal activity: a practical approach. Practical approach series. 1992. Oxford; New York: IRL Press at Oxford University Press, xxii, 294p.

    Google Scholar 

  144. Purves, R.D., Microelectrode methods for intracellular recording and ionophoresis. Biological techniques series. 1981. London; New York: Academic Press, x, 146p.

    Google Scholar 

  145. Dempster, J. and J. Dempster, The laboratory computer : a practical guide for physiologists and neuroscientists. Biological techniques series. 2001. San Diego: Academic Press, xii, 354.

    Google Scholar 

  146. Land, B.R., R.A. Wyttenbach, and B.R. Johnson, Tools for physiology labs: an inexpensive high-performance amplifier and electrode for extracellular recording. Journal of Neuroscience Methods, 2001, 106(1): 47–55.

    Google Scholar 

  147. Guclu, B., Low-cost computer-controlled current stimulator for the student laboratory. Advances in Physiology Education, 2007, 31(2): 223–231.

    MathSciNet  Google Scholar 

  148. Wagenaar, D.A. and S.M. Potter, A versatile all-channel stimulator for electrode arrays, with real-time control. Journal of Neural Engineering, 2004, 1(1): 39–45.

    Google Scholar 

  149. Land, B.R., et al., Tools for physiology labs: inexpensive equipment for physiological stimulation. Journal of Undergraduate Neuroscience Education, 2004, 3: A30–A35.

    Google Scholar 

  150. Eagar, D., Application Note 87. Linear Technology.

    Google Scholar 

  151. Lott, G., Hybridizing cellular and behavioral neurobiology with modern engineering tools: microelectronics, microfabricated devices, and software solutions for physiology. 2007, New York: Cornell University.

    Google Scholar 

  152. Lidierth, M., SigTool: a matlab-based environment for sharing laboratory-developed software to analyze biological signals. Journal of Neuroscience Methods, 2009, 178: 188–196.

    Google Scholar 

  153. Quiroga, R.Q., Z. Nadasdy, and Y. Ben-Shaul, Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. 2004. Cambridge, MA: MIT Press, pp. 1661–1687.

    Google Scholar 

  154. Fitzgerald, J., Recording with microchannel electrodes in a noisy environment. 2008.

    Google Scholar 

  155. Basham, E., W. Liu, and Y. Zhi, A System for quantitative analysis of magnetic neural stimulation. 2008, in review.

    Google Scholar 

  156. Hsu, K.H. and D.M. Durand, A 3-D differential coil design for localized magnetic stimulation. Biomedical Engineering, IEEE Transactions on, 2001, 48(10).

    Google Scholar 

  157. Maccabee, P.J., et al., Magnetic coil stimulation of straight and bent amphibian and mammalian peripheral nerve in vitro: locus of excitation. Journal of Physiology (London), 1993, 460: 201–219.

    Google Scholar 

  158. Mulloney, B., N. Tschuluun, and W. M. Hall, Architectonics of crayfish ganglia. Microscopy Research and Technique, 2003, 60: 253–265.

    Google Scholar 

  159. Prescott, S. A., N. Gill, and R. Chase, Neural Circuit Mediating Tentacle Withdrawal in Helix aspersa, With Specific Reference to the Competence of the Motor Neuron C3. Journal of Neurophysiol, 1997, 78: 2951–2965, December 1, 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eric Basham .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Basham, E., Yang, Z., Tchemodanov, N., Liu, W. (2009). Magnetic Stimulation of Neural Tissue: Techniques and System Design. In: Greenbaum, E., Zhou, D. (eds) Implantable Neural Prostheses 1. Biological and Medical Physics, Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77261-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-77261-5_10

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-77260-8

  • Online ISBN: 978-0-387-77261-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics