A pipeline for the simulation of transcranial direct current stimulation for realistic human head models using SCIRun/BioMesh3D

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 5486-5489

  Dannhauer, Moritz ^a   Brooks, Dana ^b   Tucker, Don ^a,c   MacLeod, Rob ^a  

^a UNIVERSITY OF UTAH   (United States)

^b Northeastern University   (United States)

^c UNIVERSITY OF OREGON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRECT CURRENT; FORWARD SIMULATION; HUMAN HEAD MODEL; IMAGE VISUALIZATION; IMAGE-BASED MODELS; OPEN SOURCE SOFTWARE; TRANSCRANIAL;

COMPUTER SOFTWARE; IMAGE SEGMENTATION; PIPELINES;

COMPUTER SIMULATION;

ARTICLE; BIOLOGICAL MODEL; ELECTRODE; HUMAN; TRANSCRANIAL MAGNETIC STIMULATION;

ELECTRODES; HUMANS; MODELS, BIOLOGICAL; TRANSCRANIAL MAGNETIC STIMULATION;

EID: 84870772807     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347236     Document Type: Conference Paper

References (20)

1. D.H. Benninger, M. Lomarev, G. Lopez, E.M. Wassermann, X. Lui, E. Considine and M. Hallett, Transcranial direct current stimulation for the treatment of Parkinson's disease, J. Neuro Neurosurg Psychiatry, 2010
2. A. Boyle and A. Adler, Electrode Models under Shape Deformation in Electrical Impedance Tomography, J. Phy. Conf. Ser. 224, 2010
3. R. Goebel, Brain Voyager - Past, present, future, NeuroImage, 2012, [Epub ahead of print]
4. A.R. Brunoni, R, Ferruci, M. Bortolomasi, M. Vergari, L. Tadini, P.S. Boggio, M. Giacopuzzi, S. Barbieri and A. Priori, Transcranial direct current stimulation (tDCS) in unipolar vs. bipolar deprssive disorder, Prog Neuropsychopharmacol Biol Psychiatry, 2011, 35 (1), 96-101
5. K. S. Cheng, J.C. Newell, Electrode Models for Electrical Current Computed Tomography, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 36, No. 9, 1989
6. M. Dannhauer, B. Lanfer, C. H. Wolters, T. R. Knösche, Modeling of the human skull in EEG source analysis, Human Brain Mapping, Volume 32, Issue 9, 2011, 1383-1399.
7. J.P. Dmochowski, A. Datta, M. Bikson, Y. Su, and L. C. Para, Optimized muli-electrode stimulation increases focality and intensity at target, J. Neural Eng., 8 (2011)
8. J. Haueisen, C. Ramon, M. Eiselt, H. Brauer, H. Nowak, Influence of Tissue Rsustivities on Neuromagnetic Fields and Electrical Potentials Studied with a Finite Element Model of the Head, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1997, Vol. 44, No. 8
9. P. Hua, E. J. Woo, J. G. Webster, Finite Element Modeling of Electrode-Skin Contact Impedance in Electrical Impedance Tomography, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 40, No. 4, 1993
10. G. Lohmann, K. Mller, V. Bosch, H. Mentzel, S. Hessler, L. Chen, S. Zysset, D.Y. von Cramon, LIPSIA - a new software system for the evaluation of functional magnetic resonance images of the human brain. Computerized Medical Imaging and Graphics, 2001, 25(6), 449-457
11. MATLAB version 7.12.0. Natick, Massachusetts: The MathWorks Inc., 2011.
12. M. Meyer, R. Whitaker, R., M. Kirby, C. Ledergerber, H. Pflister, Particle-based Sampling and Meshing of Surfaces in Multimaterial Volumes, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, Vol. 14, NO. 6, 2008
13. S. Pursiainen, F. Lucka, and C. H. Wolters, Complete electrode model in EEG: relationship and differences to the point electrode model, 2012 Phys. Med. Biol. 57 999
14. S. Babaeizadeh, D. H. Brooks, Electrode Boundary Conditions and Experimental Validation for BEM-Based EIT Forward and Inverse Solutions, IEEE TRANSACTIONS ON MEDICAL IMAGING, 2006, Vol. 25, No 9
15. SCIRun+BioMesh3D: A Scientific Computing Problem Solving Environment, Scientific Computing and Imaging Institute (SCI), 72 So. Central Campus Drive, Salt Lake City, Utah 84112, USA, web: http://www.sci.utah.edu/software/ biomesh3d.html
16. http://www.sci.utah.edu/software/scirun.html
17. Y. Vandermeeren, J. Jamart and M. Ossemann, Effect of tDCS with an extracephalic reference electrode on cardio-respiratory and autonomic functions, 2010, BMC Neurosci, 11: 38
18. C.H. Woltes, L. Grasedyck, W. Hackbusch, Efficient computation of lead field bases and influence matrix for the FEM-based EEG and MEG inverse problem, Inverse Problems 20 (2004), 1
19. C.H. Wolters, A. Anwander, X. Tricoche, D. Weinstein, M.A. Koch, R. 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, No.3, pp.813-826
20. C.H. Wolters, H. Köstler, C. Möller, J. Härdtlein, L. Grasedyck, and W. Hackbusch, Numerical Mathematics of the Subtraction Method For the Modeling of a Current Dipole in EEG Source Reconstruction Using Finite Element Head Models, SIAM J. SCI Comput., 20