Abstract
Deep brain stimulation (DBS) is widely used for reduction of symptoms caused by movement disorders. In this chapter a patient-specific finite element method for modeling and simulation of DBS electric parameters is presented. The individual’s stereotactic preoperative MR-batch of images is used as input to the model in order to classify tissue type and allot electrical conductivity for cerebrospinal fluid, blood and grey as well as white matter. With patient-specific positioning of the DBS electrodes the method allows for investigation of the relative electric field changes in relation to anatomy and DBS-settings. Examples of visualization of the patient-specific electric entities together with the surrounding anatomy are given. The use of the method is exemplified on patients with Parkinson’s disease. Future applications including multiphysics simulations and applicability for new DBS targets and symptoms are discussed.
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References
Andreuccetti, D., Fossi, R., Petrucci, C.: Dielectric Properties of Body Tissue. Italian National Research Council, Institute for Applied Physics, Florence, Italy (2005). http://niremf.ifac.cnr.it/tissprop/
Åström, M.: Modelling, simulation and visualisation of deep brain stimulation. Linköping studies in science and technology Dissertation, No. 1384, Department of Biomedical Engineering, Linköping University (2011). http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70090
Åström, M., Johansson, J.D., Hariz, M.I., Eriksson, O., Wårdell, K.: The effect of cystic cavities on deep brain stimulation in the basal ganglia: a simulation-based study. J. Neural. Eng. 3, 132–138 (2006)
Åström, M., Lemaire, J., Wårdell, K.: Influence of heterogeneous and anisotropic tissue conductivity on electric field distribution in deep brain stimulation. Submitted. (2011)
Åström, M., Tripoliti, E., Hariz, M.I., Zrinzo, L.U., Martinez-Torres, I., Limousin, P., Wårdell, K.: Patient-specific model-based investigation of speech intelligibility and movement during deep brain stimulation. Stereotact. Funct. Neurosurg. 88, 224–233 (2010)
Åström, M., Zrinzo, L.U., Tisch, S., Tripoliti, E., Hariz, M.I., Wårdell, K.: Method for patient-specific finite element modeling and simulation of deep brain stimulation. Med. Biol. Eng. Comput. 47, 21–28 (2009) [Epub 2008 Oct 21]
Benabid, A.L.: Deep brain stimulation for Parkinson’s disease. Curr. Opin. Neurobiol. 13, 696–706 (2003)
Benabid, A.L., Chabardes, S., Mitrofanis, J., Pollak, P.: Deep brain stimulation of the subthalamic nucleus for the treatment of Parkinson’s disease. Lancet Neurol. 8, 67–81 (2009)
Butson, C.R., Cooper, S.E., Henderson, J.M., Mcintyre, C.C.: Patient-specific analysis of the volume of tissue activated during deep brain stimulation. Neuroimage 34, 661–670 (2007)
Cheng, D.K.: Field and Wave Electromagnetics. Addison-Wesley Publishing Company Inc, New York (1989)
Diczfalusy, E., Zsigmond, P., Dizdar, N., Kullman, A., Loyd, D., Wårdell, K.: A patient-specific multiphysics model for prediction of analyte diffusion when using microdialysis in parallel to deep brain stimulation. Submitted. (2011)
Gross, R.E., Krack, P., Rodriguez-Oroz, M.C., Rezai, A.R., Benabid, A.L.: Electrophysiological mapping for the implantation of deep brain stimulators for Parkinson’s disease and tremor. Mov. Disord. 21, S259–S283 (2006)
Hardman, C.D., Henderson, J.M., Finkelstein, D.I., Horne, M.K., Paxinos, G., Halliday, G.M.: Comparison of the basal ganglia in rats, marmosets, macaques, baboons, and humans: volume and neuronal number for the output, internal relay, and striatal modulating nuclei. J. Comp. Neurol. 445, 238–255 (2002)
Hariz, M.I., Rehncrona, S., Quinn, N.P., Speelman, J.D., Wensing, C.: Multicenter study on deep brain stimulation in Parkinson’s disease: an independent assessment of reported adverse events at 4 years. Mov. Disord. 23, 416–421 (2008)
Hemm, S., Mennessier, G., Vayssiere, N., Cif, L., El Fertit, H., Coubes, P.: Deep brain stimulation in movement disorders: stereotactic coregistration of two-dimensional electrical field modeling and magnetic resonance imaging. J. Neurosurg. 103, 949–955 (2005)
Hemm, S., Wårdell, K.: Stereotactic implantation of deep brain stimulation electrodes: a review of technical systems, methods and emerging tools. Med. Biol. Eng. Comput. 48, 611–624 (2010)
Johansson, J.D., Blomstedt, P., Haj-Hosseini, N., Bergenheim, A.T., Eriksson, O., Wårdell, K.: Combined diffuse light reflectance and electrical impedance measurements as a navigation aid in deep brain surgery. Stereotact. Funct. Neurosurg. 87, 105–113 (2009)
Kindlmann, G.: Superquadric tensor glyphs. In: Proceedings IEEE TVCG/EG Symposium on Visualization, pp. 147–154. (2004)
Maks, C.B., Butson, C.R., Walter, B.L., Vitek, J.L., Mcintyre, C.C.: Deep brain stimulation activation volumes and their association with neurophysiological mapping and therapeutic outcomes. J. Neurol. Neurosurg. Psychiatry. 80, 659–666 (2009) [Epub 2008 Apr 10]
Martens, H.C., Toader, E., Decre, M.M., Anderson, D.J., Vetter, R., Kipke, D.R., Baker, K.B., Johnson, M.D., Vitek, J.L.: Spatial steering of deep brain stimulation volumes using a novel lead design. Clin. Neurophysiol. 122, 558–566 (2011)
Mcintyre, C.C., Mori, S., Sherman, D.L., Thakor, N.V., Vitek, J.L.: Electric field and stimulating influence generated by deep brain stimulation of the subthalamic nucleus. Clin. Neurophysiol. 115, 589–595 (2004)
Mikos, A., Bowers, D., Noecker, A.M., Mcintyre, C.C., Won, M., Chaturvedi, A., Foote, K.D., Okun, M.S.: Patient-specific analysis of the relationship between the volume of tissue activated during DBS and verbal fluency. Neuroimage 54(Suppl 1), S238–S246 (2011)
Morel, A.: Stereotactic Atlas of the Human Thalamus and Basal Ganglia. Informa Healthcare, New York (2007)
Nowinski, W.L., Thirunavuukarasuu, M., Benabid, A.L.: The cerefy clinical brainAtlas: enhanced edition with surgical planning and intraoperative support. CD-ROM (2005)
Panescu, D.: Emerging technologies. Implantable neurostimulation devices. IEEE Eng. Med. Biol. Mag. 27, 100–105 (2008). 113
Tripoliti, E., Zrinzo, L., Martinez-Torres, I., Tisch, S., Frost, E., Borrell, E., Hariz, M.I., Limousin, P.: Effects of contact location and voltage amplitude on speech and movement in bilateral subthalamic nucleus deep brain stimulation. Mov. Disord. 23, 2377–2383 (2008)
Tuch, D.S., Wedeen, V.J., Dale, A.M., George, J.S., Belliveau, J.W.: Conductivity tensor mapping of the human brain using diffusion tensor MRI. Proc. Natl. Acad. Sci. USA 98, 11697–11701 (2001)
Vasques, X., Cif, L., Hess, O., Gavarini, S., Mennessier, G., Coubes, P.: Stereotactic model of the electrical distribution within the internal globus pallidus during deep brain stimulation. J. Comput. Neurosci. 26, 109–118 (2008)
Vitek, J.L., Delong, M.R., Starr, P.A., Hariz, M.I., Metman, L.V.: Intraoperative neurophysiology in DBS for dystonia. Mov. Disord. 26(Suppl 1), S31–S36 (2011)
Wårdell, K., Blomstedt, P., Richter, J., Antonsson, J., Eriksson, O., Zsigmond, P., Bergenheim, A.T., Hariz, M.I.: Intracerebral microvascular measurements during deep brain stimulation implantation using laser Doppler perfusion monitoring. Stereotact. Funct. Neurosurg. 85, 279–286 (2007)
Yousif, N., Bayford, R., Bain, P.G., Liu, X.: 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 (2007) [Epub 2007 Jul 26]
Yousif, N., Liu, X.: Modeling the current distribution across the depth electrode-brain interface in deep brain stimulation. Expert Rev. Med. Devices 4, 623–631 (2007)
Zrinzo, L., Hariz, M.: Impedance recording in functional neurosurgery. In: Gildenberg, P.L., Lozano, A.M., Tasker, R. (eds.) Textbook of Stereotactic and Functional Neurosurgery. Springer, Berlin (2008)
Acknowledgements
The authors would like to thank the clinical collegues at the Unit of Functional Neurosurgery, London University Collegue and at the Division of Neurology and Neurosurgery at Linköping University Hospital for very valuable input and discussions during the development of the software. The work was financially supported as a group grant (311-2006-7661) by the Swedish Foundation for Strategic Research (SSF), the Swedish Research Council (VR) and the Swedish Governmental Agency for Innovation Systems (VINNOVA).
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Wårdell, K., Diczfalusy, E., Åström, M. (2011). Patient-Specific Modeling and Simulation of Deep Brain Stimulation. In: Gefen, A. (eds) Patient-Specific Modeling in Tomorrow's Medicine. Studies in Mechanobiology, Tissue Engineering and Biomaterials, vol 09. Springer, Berlin, Heidelberg. https://doi.org/10.1007/8415_2011_104
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DOI: https://doi.org/10.1007/8415_2011_104
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