Modeling of a segmented electrode for desynchronizing deep brain stimulation

Frontiers in Neuroengineering

Volumn , Issue NOVEMBER, 2011, Pages

  Buhlmann, J ^a   Hofmann, L ^a   Tass, P A ^a,b   Hauptmanna, Christian ^a  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

^b UNIVERSITY OF COLOGNE   (Germany)

Author keywords

Deep brain stimulation; Electrode; Finite element model

Indexed keywords

ARTICLE; BRAIN DEPTH STIMULATION; CELL ACTIVATION; CONTROLLED STUDY; ELECTRIC FIELD; ELECTRIC POTENTIAL; ELECTRODE; FINITE ELEMENT MODEL; MATHEMATICAL MODEL; NERVE CELL; NERVE STIMULATION; NEUROMODULATION;

EID: 85088338317     PISSN: 16626443     EISSN: None     Source Type: Journal    
DOI: 10.3389/fneng.2011.00015     Document Type: Article

References (42)

1. Benabid, A. L., Chabardes, S., Mitrofanis, J., and Pollak, P. (2009) Deep brain stimulation of the subthalamic nucleus for the treatment of Parkinson's disease. Lancet Neurol, 8, 67-81.
2. Lyons, K. E. and Pahwa, R. (2004) Deep brain stimulation and essential tremor. J Clin Neurophysiol, 21, 2-5.
3. Krause, M., Fogel, W., Heck, A., Hacke, W., Bonsanto, M., Trenkwalder, C., and Tronnier, V (2001) Deep brain stimulation for the treatment of Parkinson's disease: subthalamic nucleus versus globus pallidus internus. J Neurol Neurosurg Psychiatry, 70, 464-470.
4. Limousin, P., Pollak, P., Benazzouz, A., Hoffmann, D., Bas, J. F. L., Broussolle, E., Perret, J. E., and Benabid, A. L. (1995) Effect of parkinsonian signs and symptoms of bilateral subthalamic nucleus stimulation. Lancet, 345, 91-95.
5. Kuncel, A. M. and Grill, W. M. (2004) Selection of stimulus parameters for deep brain stimulation. Clin Neurophysiol, 115, 2431-2441.
6. O'Suilleabhain, P. E., Frawley, W., Giller, C., and Dewey, R. B. (2003) Tremor response to polarity, voltage, pulsewidth and frequency of thalamic stimulation. Neurology, 60, 786-790.
7. Rizzone, M., Lanotte, M., Bergamasco, B., Tavella, A., Torre, E., Faccani, G., Melcarne, A., and Lopiano, L. (2001) Deep brain stimulation of the subthalamic nucleus in Parkinson's disease: effects of variation in stimulation parameters. J Neurol Neurosurg Psychiatry, 71, 215-219.
8. Volkmann, J., Herzog, J., Kopper, F., and Deuschl, G. (2002) Introduction to the programming of deep brain stimulators. Mov Disord, 17 Suppl 3, S181-S187.
9. Benabid, A. L., Benazzous, A., and Pollak, P. (2002) Mechanisms of deep brain stimulation. Mov Disord, 17 Suppl 3, S73-S74.
10. Volkmann, J. (2004) Deep brain stimulation for the treatment of Parkinson's disease. J Clin Neurophysiol, 21, 6-17.
11. Rodriguez-Oroz, M. C., et al. (2005) Bilateral deep brain stimulation in Parkinson's disease: a multicentre study with 4 years follow-up. Brain, 128, 2240-2249.
12. Deuschl, G., et al. (2006) A randomized trial of deep-brain stimulation for Parkinson's disease. N Engl J Med, 355, 896-908.
13. Tass, P. A. (2003) A model of desynchronizing deep brain stimulation with a demand-controlled coordinated reset of neural subpopulations. Biol Cybern, 89, 81-88.
14. Tass, P. A. and Majtanik, M. (2006) Long-term anti-kindling effects of desynchronizing brain stimulation: a theoretical study. Biol Cybern, 94, 58-66.
15. Tass, P. A. and Hauptmann, C. (2007) Therapeutic modulation of synaptic connectivity with desynchronizing brain stimulation. International Journal of Psychophysiology, 64, 53-61.
16. Tass, P. A., Silchenko, A. N., Hauptmann, C., Barnikol, U. B., and Speckmann, E.-J. (2009) Long-lasting desynchronization in rat hippocampal slice induced by coordinated reset stimulation. Phys Rev E Stat Nonlin Soft Matter Phys, 80, 011902.
17. Martens, H. C. F., Toader, E., Decr, M. M. J., Anderson, D. J., Vetter, R., Kipke, D. R., Baker, K. B., Johnson, M. D., and Vitek, J. L. (2010) Spatial steering of deep brain stimulation volumes using a novel lead design. Clin Neurophysiol.
18. Toader, E., Decre, M. M. J., and Martens, H. C. F. (2010) Steering deep brain stimulation fields using a high resolution electrode array. Conf Proc IEEE Eng Med Biol Soc, 2010, 2061-2064.
19. Fogel, G. R., Esses, S. I., and Calvillo, O. (2003) Management of chronic limb pain with spinal cord stimulation. Pain Pract, 3, 144-151.
20. Rattay, F. (1986) Analysis of models for external stimulation of axons. IEEE Trans Biomed Eng, 33, 974-977.
21. McNeal, D. R. (1976) Analysis of a model for excitation of myelinated nerve. IEEE Trans Biomed Eng, 23, 329-337.
22. Butson, C. R. and McIntyre, C. C. (2006) Role of electrode design on the volume of tissue activated during deep brain stimulation. J Neural Eng, 3, 1-8.
23. Coffey, R. J. (2009) Deep brain stimulation devices: a brief technical history and review. Artif Organs, 33, 208-220.
24. Wei, X. F. and Grill, W. M. (2005) Current density distributions, field distributions and impedance analysis of segmented deep brain stimulation electrodes. J Neural Eng, 2, 139-147.
25. Geddes, L. A. and Baker, L. E. (1967) The specific resistance of biological material-a compendium of data for the biomedical engineer and physiologist. Med Biol Eng, 5, 271-293.
26. Yousif, N., Bayford, R., and Liu, X. (2008) The influence of reactivity of the electrode-brain interface on the crossing electric current in therapeutic deep brain stimulation. Neuroscience, 156, 597-606.
27. Hodgkin, A. L. and Huxley, A. F. (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol, 117, 500-544.
28. Meunier, C. and Segev, I. (2002) Playing the devil's advocate: is the Hodgkin-Huxley model useful? Trends Neurosci, 25, 558-563.
29. Meunier, C. (1992) Two and three dimensional reductions of the Hodgkin-Huxley system: separation of time scales and bifurcation schemes. Biol Cybern, 67, 461-468.
30. McIntyre, C. C., Richardson, A. G., and Grill, W. M. (2002) Modeling the excitability of mammalian nerve fibers: influence of afterpotentials on the recovery cycle. J Neurophysiol, 87, 995-1006.
31. Roth, B. J. (1994) Mechanisms for electrical stimulation of excitable tissue. Crit Rev Biomed Eng, 22, 253-305.
32. Daniluk, S., Davies, K. G., Ellias, S. A., Novak, P., and Nazzaro, J. M. (2010) Assessment of the variability in the anatomical position and size of the subthalamic nucleus among patients with advanced Parkinson's disease using magnetic resonance imaging. Acta Neurochir (Wien), 152, 201-10; discussion 210.
33. Hauptmann, C. and Tass, P. A. (2009) Cumulative and after-effects of short and weak coordinated reset stimulation: a modeling study. Journal of Neural Engineering, 6, 1-13.
34. Lysyansky, B., Popovych, O. V, and Tass, P. A. (2011) Desynchronizing anti-resonance effect of m: n ON-OFF coordinated reset stimulation. J Neural Eng, 8, 036019.
35. Harnack, D., Winter, C., Meissner, W., Reum, T., Kupsch, A., and Morgenstern, R. (2004) The effects of electrode material, charge density and stimulation duration on the safety of high-frequency stimulation of the subthalamic nucleus in rats. J Neurosci Methods, 138, 207-216.
36. Butson, C. R., Maks, C. B., and McIntyre, C. C. (2007) System and methods for determining volume of activation for deep brain stimulation. US patent 2007/0288064 A1.
37. Moffitt, M. (2011) System and method for estimating volume of activation in tissue. US patent 2011/0093045 A1.
38. McIntyre, C. C., Mori, S., Sherman, D. L., Thakor, N. V, and Vitek, J. L. (2004) Electric field and stimulating influence generated by deep brain stimulation of the subthalamic nucleus. Clin Neurophysiol, 115, 589-595.
39. Chaturvedi, A., Butson, C. R., Lempka, S. F., Cooper, S. E., and McIntyre, C. C. (2010) Patient-specific models of deep brain stimulation: influence of field model complexity on neural activation predictions. Brain Stimul, 3, 65-67.
40. Butson, C. R. and McIntyre, C. C. (2005) Tissue and electrode capacitance reduce neural activation volumes during deep brain stimulation. Clin Neurophysiol, 116, 2490-2500.
41. Grill, W. M. and Mortimer, J. T. (1994) Electrical properties of implant encapsulation tissue. Ann Biomed Eng, 22, 23-33.
42. Yousif, N., Bayford, R., Bain, P. G., and Liu, X. (2007) The peri-electrode space is a significant element of the electrode-brain interface in deep brain stimulation: a computational study. Brain Res Bull, 74, 361-368.