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Changes in Distribution of Electrical Field in tDCS with Ring Electrode Due to Tissue Anisotropy: a 3D High Resolution Finite Element Head Model Study

경두개직류자극 전기장의 분포 특성에 비등방성 전기 전도율이 미치는 영향 분석 :3차원 고해상도 유한요소 두뇌 모델을 통한 연구

  • Kim, Sang-Hyuk (Department of Biomedical Engineering, Kyung Hee University) ;
  • Suh, Hyun-Sang (Department of Biomedical Engineering, Kyung Hee University) ;
  • Cho, Young-Sun (Department of Biomedical Engineering, Kyung Hee University) ;
  • Lee, Won-Hee (Department of Biomedical Engineering, Columbia University) ;
  • Kim, Tae-Seong (Department of Biomedical Engineering, Kyung Hee University)
  • 김상혁 (경희대학교 생체의공학과) ;
  • 서현상 (경희대학교 생체의공학과) ;
  • 조영선 (경희대학교 생체의공학과) ;
  • 이원희 (컬럼비아대학교 의공학과) ;
  • 김태성 (경희대학교 생체의공학과)
  • Received : 2011.07.06
  • Accepted : 2011.08.25
  • Published : 2011.12.30

Abstract

For effective stimulation with tDCS, spatial focality of induced electrical field(EF) and current density(CD) is one of the important factors to be considered. Recently, there have been some studies to improve the spatial focality via different types of electrodes and their new configurations: some improvements using ring electrodes were reported over the conventional pad electrodes. However, most of these studies assumed isotropic conductivities in the head. In this work, we have investigated the effect of tissue anisotropy on the spatial focality of tDCS with the 4 + 1 ring electrode configuration via a 3-D high-resolution finite element(FE) head model with anisotropic conductivities in the skull and white matter. By examining the profiles of the induced EF from the head models with isotropic and anisotropic conductivities respectively, we found that the spatial focality of the induced EF significantly drops and get diffused due to tissue anisotropy. Our analysis suggests that it is critical to incorporate tissue anisotropy in the effective stimulation of the brain via tDCS.

Keywords

References

  1. M.A. Nitsche, P.S. Boggio, F. Fregni, and A. Pascual-Leone, "Treatment of depression with transcranial direct current stimulation (tDCS): a review," Exp. Neurol., vol. 219, pp. 14-19, 2009. https://doi.org/10.1016/j.expneurol.2009.03.038
  2. F.C. Hummel and L.G. Cohen, "Non-invasive brain stimulation: a new strategy to improve neurorehabilitation after stroke?," Lancet Neurol., vol. 5, pp. 708-712, 2006. https://doi.org/10.1016/S1474-4422(06)70525-7
  3. T. Wagner, F. Fregni, S. Fecteau, A. Grodzinsky, M. Zahn, and A. Pascual-Leone, "Transcranial direct current stimulation: a computer-based human model study," NeuroImage, vol. 35, pp. 1113-1124, 2007. https://doi.org/10.1016/j.neuroimage.2007.01.027
  4. F. Fregni, P.S. Boggio, M.C. Santos, M. Lima, A.L. Vieira, S.P. Rigonatti, M.T. Silva, E.R. Barbosa, M.A. Nitsche, and A. Pascual-Leone, "Noninvasive cortical stimulation with transcranial direct current stimulation in Parkinsons disease," Movement Disord., vol. 21, pp. 1693-1702, 2006. https://doi.org/10.1002/mds.21012
  5. F. Fregni, S. Thome-Souza, M.A. Nitsche, S.D. Freedman, K.D. Valente, and A. Pascual-Leone, "A controlled clinical trial of cathodal DC polarization in patients with refractory epilepsy," Epilepsia, vol. 47, pp. 335-342, 2006. https://doi.org/10.1111/j.1528-1167.2006.00426.x
  6. M.A. Nitsche and W. Paulus, "Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation," J. Physiol., vol. 527.3, pp. 633-639, 2000.
  7. A. Datta, M. Elwassif, F. Battaglia, and M. Bikson, "Transcranial current stimulation focality using disc and ring electrode configurations: FEM analysis," J. Neural Eng., vol. 5, pp. 163-174, 2008. https://doi.org/10.1088/1741-2560/5/2/007
  8. A. Datta, V. Bansal, J. Diaz, J. Patel, D. Reato, and M. Bikson, "Gyri -precise head model of transcranial direct current stimulation: Improved spatial focality using a ring electrode versus conventional rectangular pad," Brain Stimulation, vol. 2, pp. 201-207, 2009. https://doi.org/10.1016/j.brs.2009.03.005
  9. P. Faria, A. Leal, and P.C. Miranda, "Comparing different electrode configurations using the 10-10 international system in tDCS: a finite element model analysis," in Proc. 31st Annual International Conference of the IEEE EMBS, Minnesota, USA, Sep. 2009, pp. 1596-1599.
  10. R.N. Holdefer, R. Sadleir, and M.J. Russell, "Predicted current densities in the brain during transcranial electrical stimulation," Clin. Neurophysiol., vol. 117, pp. 1388-1397, 2006. https://doi.org/10.1016/j.clinph.2006.02.020
  11. W.H. Lee, T.-S. Kim, M.H. Cho, and S.Y. Lee, "Numerical Evaluation of the Effect of Feature Maps on Content-Adaptive Finite Element Mesh Generation," J. Biomed. Eng. Res., vol. 28, pp. 8-16, 2007
  12. W.H. Lee, T.-S. Kim, A.T. Kim, and S.Y. Lee, "3-D diffusion tensor MRI anisotropy content-adaptive finite element head model generation for bioelectromagnetic imaging," in Proc. 30st Annual International Conference of the IEEE EMBS, Vancouver, Canada, Aug. 2008, pp. 4003-4006.
  13. S. Kim, T.-S. Kim, Y. Zhou, and M. Singh, "Influence of conductivity tensors on the scalp electrical potential: Study with 2-D finite element models," IEEE Trans. Nucl. Sci., vol. 50, pp. 133-139, 2003. https://doi.org/10.1109/TNS.2002.807937
  14. C.H. Wolters, A. Anwander, X. Tricoche, D. Weinstein, M.A. Koch, and R.S. MacLeod, "Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: a simulation and visualization study using high-resolution finite element modeling," NeuroImage, vol. 30, pp. 813-826, 2006. https://doi.org/10.1016/j.neuroimage.2005.10.014
  15. P.J. Basser, J. Mattiello, and D. LeBihan, "MR diffusion tensor spectroscopy and imaging," Biophys. J., vol. 66, pp. 259-267, 1994. https://doi.org/10.1016/S0006-3495(94)80775-1
  16. D.S. Tuch, V.J. Wedeen, A.M. Dale, J.S. George, and J.W. Belliveau, "Conductivity mapping of biological tissue using diffusion MRI," Ann. N.Y. Acad. Sci., vol. 888, pp. 314-316, 1999. https://doi.org/10.1111/j.1749-6632.1999.tb07965.x
  17. H.S. Suh, S.H. Kim, W.H. Lee, and T.-S. Kim, "Realistic simulation of transcranial direct current stimulation via 3-d high-resolution finite element analysis: Effect of tissue anisotropy," in Proc. 31st Annual International Conference of the IEEE EMBS, Minnesota, USA, Sep. 2009, pp. 638-641.
  18. C.H. Wolters, A. Anwander, X. Tricoche, D. Weinstein, M.A. Koch and R.S. MacLeod, "Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: a simulation and visualization study using high-resolution finite element modeling," NeuroImage, vol. 30, pp. 813-826, 2006 https://doi.org/10.1016/j.neuroimage.2005.10.014
  19. A. Delorme and S. Makeig, "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis," J. Neurosci. Meth., vol. 134, pp. 9-21, 2004. https://doi.org/10.1016/j.jneumeth.2003.10.009
  20. ANSYS. Available: http:// www.ansys.com
  21. J.B. Ranck, "Which elements are excited in electrical stimulation of mammalian central nervous system: a review," Brain Research, vol. 98, pp. 417-440, 1975 https://doi.org/10.1016/0006-8993(75)90364-9
  22. R. Plonsey and D.B. Heppner, "Considerations of quasi-stationarity in electrophysiological systems," Bull. Math. Biophys., vol. 29, pp. 657-664, 1967. https://doi.org/10.1007/BF02476917