O. S. Operator-s, . .. Operator-n, . .. Operator-n, . .. Operator-n, . .. Operator-d et al., arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) OPERATOR D... (arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) (arg : mesh m1, mesh m2) OPERATOR N... (arg : mesh m1, mesh m2), arg : mesh m1, mesh m2) OPERATOR D... (arg : mesh m1, p.9546

E. Classical-approach-for, M. , H. ?1, and D. , S meg and T meg are built separately before being assembled with the 'om gain' command. in [Acar and Makeig, 2010], such a possibility for wrapping a template with the sensor locations as input

Z. Bibliography-acar and S. Makeig, Neuroelectromagnetic Forward Head Modeling Toolbox, Journal of Neuroscience Methods, vol.190, issue.2, pp.258-270, 2010.
DOI : 10.1016/j.jneumeth.2010.04.031

L. Agoshkov, V. Agoshkov, and V. Lebedev, Variational algorithms of the domain decomposition method, Russian Journal of Numerical Analysis and Mathematical Modelling, vol.5, issue.1, pp.27-46, 1990.
DOI : 10.1515/rnam.1990.5.1.27

. Akhtari, Conductivities of three-layer live human skull, Brain Topography, vol.14, issue.3, pp.151-167, 2002.
DOI : 10.1023/A:1014590923185

. Alliez, 3D mesh generation, CGAL User and Reference Manual. CGAL Editorial Board, 2011.

. Bashar, EEG Analysis on Skull Conductivity Perturbations Using Realistic Head Model, Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology, RSKT '09, pp.208-215, 2009.
DOI : 10.1016/S0013-4694(96)95698-9

. Basser, In vivo fiber tractography using DT-MRI data, Magnetic Resonance in Medicine, vol.40, issue.4, pp.625-632, 2000.
DOI : 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O

F. B. Belgacem, A Stabilized Domain Decomposition Method with Nonmatching Grids for the Stokes Problem in Three Dimensions, SIAM Journal on Numerical Analysis, vol.42, issue.2, pp.667-685, 2004.
DOI : 10.1137/S0036142900368824

B. Belgacem, M. Belgacem, F. Maday, and Y. , The mortar element method for three dimensional finite elements. Modélisation mathématique et analyse numérique, pp.31289-302, 1997.

. Bibliography, . Bénar, . Gotman, C. G. Bénar, and J. Gotman, Modeling of postsurgical brain and skull defects in the EEG inverse problem with the boundary element method, Clinical Neurophysiology, vol.153, issue.113, pp.48-56, 2002.

P. Berg and M. Scherg, A fast method for forward computation of multiple-shell spherical head models, Electroencephalography and Clinical Neurophysiology, vol.90, issue.1, pp.58-64, 1994.
DOI : 10.1016/0013-4694(94)90113-9

. Bernardi, A new nonconforming approach to domain decomposition: the mortar element method, Nonlinear Partial Differential Equations and Their Applications ,Colì ege de France Seminar XI Brezis and J.L. Lions, pp.13-51, 1994.

. Berninger, On Nonlinear Dirichlet???Neumann Algorithms for Jumping Nonlinearities, Domain Decomposition Methods in Science and Engineering XVI, pp.489-496, 2007.
DOI : 10.1007/978-3-540-34469-8_61

. Bjorstad, P. Bjorstad, and O. Widlund, Iterative Methods for the Solution of Elliptic Problems on Regions Partitioned into Substructures, SIAM Journal on Numerical Analysis, vol.23, issue.6, pp.1097-1120, 1986.
DOI : 10.1137/0723075

G. Buzsáki, Theta Oscillations in the Hippocampus, Neuron, vol.33, issue.3, pp.325-340, 2002.
DOI : 10.1016/S0896-6273(02)00586-X

. Clerc, In vivo conductivity estimation with symmetric boundary elements, International Journal of Bioelectromagnetism, vol.7, issue.20, pp.307-310, 2005.

. Clerc, Boundary Element formulation for Electrical Impedance Tomography, ESAIM: Proceedings, pp.63-71, 2005.
DOI : 10.1051/proc:2005006

. Clerc, Openmeeg for calibrating the conductivity of nested compartment models The symmetric bem: bringing in more variables for better accuracy EEG localization accuracy improvements using realistically shaped head models, Proceedings of Biomag. v [Cuffin, p.52, 1996.

. Dale, Cortical Surface-Based Analysis, NeuroImage, vol.9, issue.2, pp.179-194, 1999.
DOI : 10.1006/nimg.1998.0395

N. Dang, H. V. Dang, and K. T. Ng, Finite difference neuroelectric modeling software, Journal of Neuroscience Methods, vol.198, issue.2, pp.359-363, 2011.
DOI : 10.1016/j.jneumeth.2011.03.026

. Dannhauer, Modeling of the human skull in EEG source analysis, Human Brain Mapping, vol.89, issue.9, p.162, 2010.
DOI : 10.1002/hbm.21114

. Darvas, Generic head models for atlas-based EEG source analysis, Human Brain Mapping, vol.22, issue.2, pp.129-143, 2006.
DOI : 10.1002/hbm.20171

J. C. Munck-]-de-munck, The potential distribution in a layered anisotropic spheroidal volume conductor, Journal of Applied Physics, vol.64, issue.2, pp.464-470, 1988.
DOI : 10.1063/1.341983

. Descoteaux, Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions, IEEE Transactions on Medical Imaging, vol.28, issue.2, pp.269-286, 2009.
DOI : 10.1109/TMI.2008.2004424

. Fischer, A Bidomain Model Based BEM-FEM Coupling Formulation for Anisotropic Cardiac Tissue, Annals of Biomedical Engineering, vol.28, issue.10, pp.1229-1243, 2000.
DOI : 10.1114/1.1318927

. Fischl, Cortical Surface-Based Analysis, NeuroImage, vol.9, issue.2, pp.195-207, 1999.
DOI : 10.1006/nimg.1998.0396

. Gabriel, The dielectric properties of biological tissues: I. Literature survey, Physics in Medicine and Biology, vol.41, issue.11, pp.2231-2249, 1996.
DOI : 10.1088/0031-9155/41/11/001

. Gabriel, The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz, Physics in Medicine and Biology, vol.41, issue.11, pp.2251-2269, 1996.
DOI : 10.1088/0031-9155/41/11/002

. Geddes, . Baker, L. Geddes, and L. Baker, The specific resistance of biological material???A compendium of data for the biomedical engineer and physiologist, Medical & Biological Engineering, vol.5, issue.3, pp.271-293, 1967.
DOI : 10.1007/BF02474537

. Bibliography, . Geselowitz, and D. B. Geselowitz, On bioelectric potentials in an inhomogeneous volume conductor, Biophysics Journal, vol.7, pp.1-11, 1967.

D. B. Geselowitz, On the magnetic field generated outside an inhomogeneous volume conductor by internal current sources, IEEE Transactions on Magnetics, vol.6, issue.2, pp.346-347, 1970.
DOI : 10.1109/TMAG.1970.1066765

. Ghez, . Fahn, C. Ghez, and S. Fahn, The cerebellum. Principles of Neural Science, pp.502-522, 1985.

. Gonçalves, In vivo measurement of the brain and skull resistivities using an EIT-based method and the combined analysis of SEF/SEP data, IEEE Transactions on Biomedical Engineering, vol.27, issue.9, pp.501124-1128, 2003.

. Gramfort, Tracking cortical activity with spatio-temporal constraints using graph-cuts, In Biomag, vol.20, p.47, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00336887

. Gramfort, OpenMEEG: opensource software for quasistatic bioelectromagnetics, BioMedical Engineering OnLine, vol.9, issue.1, p.76, 2010.
DOI : 10.1186/1475-925X-9-45
URL : https://hal.archives-ouvertes.fr/inria-00467061

. Gramfort, Forward Field Computation with OpenMEEG, Computational Intelligence and Neuroscience, vol.36, issue.3, p.77, 2011.
DOI : 10.1109/MCSE.2011.35
URL : https://hal.archives-ouvertes.fr/inria-00584205

. Gullmar, Influence of anisotropic conductivity on EEG source reconstruction: investigations in a rabbit model, IEEE Transactions on Biomedical Engineering, vol.53, issue.9, pp.1841-1850, 2006.
DOI : 10.1109/TBME.2006.876641

. Hämäläinen, Magnetoencephalography???theory, instrumentation, and applications to noninvasive studies of the working human brain, Reviews of Modern Physics, vol.65, issue.2, pp.413-497, 1993.
DOI : 10.1103/RevModPhys.65.413

S. Hämäläinen, M. S. Hämäläinen, and J. Sarvas, Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data, IEEE Transactions on Biomedical Engineering, vol.36, issue.2, pp.165-171, 1989.
DOI : 10.1109/10.16463

. Haueisen, The Influence of Brain Tissue Anisotropy on Human EEG and MEG, NeuroImage, vol.15, issue.1, pp.159-166, 2002.
DOI : 10.1006/nimg.2001.0962

V. Hédou and V. Hédou-rouillier, Méthodes Numériques pour la Modélisation Electro-anatomique du Cerveau Realistic three-dimensional finite difference model of the human head: development and validation of electric potential computation, p.59, 1997.

. Hoekema, Measurement of the conductivity of the skull, temporarily removed during epilepsy surgery, Biomedizinische Technik/Biomedical Engineering, vol.46, issue.s2, pp.29-38, 2003.
DOI : 10.1515/bmte.2001.46.s2.103

. Huang, A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG, Physics in Medicine and Biology, vol.44, issue.2, pp.423-52, 1999.
DOI : 10.1088/0031-9155/44/2/010

. Huiskamp, The need for correct realistic geometry in the inverse EEG problem, IEEE Transactions on Biomedical Engineering, vol.46, issue.11, pp.461281-1287, 1999.
DOI : 10.1109/10.797987

F. Kariotou, Electroencephalography in ellipsoidal geometry, Journal of Mathematical Analysis and Applications, vol.290, issue.1, pp.324-366, 2004.
DOI : 10.1016/j.jmaa.2003.09.066

. Kybic, A common formalism for the Integral formulations of the forward EEG problem, IEEE Transactions on Medical Imaging, vol.24, issue.1, pp.12-28, 2005.
DOI : 10.1109/TMI.2004.837363

. Kybic, Generalized head models for MEG/EEG: boundary element method beyond nested volumes, Physics in Medicine and Biology, vol.51, issue.5, pp.1333-1346, 2006.
DOI : 10.1088/0031-9155/51/5/021

. Lai, Estimation of in vivo human brain-to-skull conductivity ratio from simultaneous extra- and intra-cranial electrical potential recordings, Clinical Neurophysiology, vol.116, issue.2, pp.456-465, 2005.
DOI : 10.1016/j.clinph.2004.08.017

. Lalancette, Evaluation of multiple-sphere head models for MEG source localization, Physics in Medicine and Biology, vol.56, issue.17, p.68, 2011.
DOI : 10.1088/0031-9155/56/17/010

P. Lions, On the schwarz alternating method iii: a variant for nonoverlapping subdomains, Third International Symposium on Domain Decomposition Methods for Partial Differential Equations, pp.20-22, 1989.

J. Malmivuo, Distribution of m.e.g. detector sensitivity: an application of reciprocity, Medical & Biological Engineering & Computing, vol.19, issue.3, pp.365-370, 1980.
DOI : 10.1007/BF02443394

. Marini, . Quarteroni, L. Marini, and A. Quarteroni, An iterative procedure for domain decomposition methods: a finite element approach, p.102, 1987.

. Marini, . Quarteroni, L. Marini, and A. Quarteroni, A relaxation procedure for domain decomposition methods using finite elements, Numerische Mathematik, vol.41, issue.5, pp.575-598, 1989.
DOI : 10.1007/BF01398917

P. Meijs, J. W. Meijs, and M. Peters, The EEG and MEG, Using a Model of Eccentric Spheres to Describe the Head, IEEE Transactions on Biomedical Engineering, vol.34, issue.12, pp.913-920, 1987.
DOI : 10.1109/TBME.1987.325929

. Meijs, On the numerical accuracy of the boundary element method (EEG application), IEEE Transactions on Biomedical Engineering, vol.36, issue.10, pp.1038-1049, 1989.
DOI : 10.1109/10.40805

. Mori, Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging, Annals of Neurology, vol.40, issue.2, pp.265-269, 1999.
DOI : 10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3

. Murakami, . Okada, S. Murakami, and Y. Okada, Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals, The Journal of Physiology, vol.20, issue.3, pp.925-936, 2006.
DOI : 10.1113/jphysiol.2006.105379

J. Nédélec, Acoustic and Electromagnetic Equations, p.62, 2001.

P. Nunez, Electric fields of the brain, p.46, 1981.
DOI : 10.1093/acprof:oso/9780195050387.001.0001

E. Olivi, Comparaisons quantitatives de résultats deprobì eme direct eeg, Research Report, vol.6364, p.69, 2007.

. Olivi, Domain decomposition for coupling finite and boundary element methods in eeg Domain decomposition for coupling finite and boundary element methods with nonmatching grids in electro-encephalography Handling white-matter anisotropy in bem for the eeg forward problem, Proceedings of Biomag. iv [Olivi Proceedings of ECCM. iv [Olivi et al. Proceedings of ISBI. v, p.164, 2010.

. Olivi, Quantitative comparisons of forward problems in MEEG Adjoint method for lead-fields computation in MEEG Validating the boundary element method for forward and inverse EEG computations in the presence of a hole in the skull, INRIA. v [Olivi et al. HBM'2011, pp.192-192, 2002.

. Papadopoulo, Implicit meshes for meg/eeg forward problem with 3d finite element method, Proceedings of the Biomag conference, p.68, 2006.

P. Piovano, J. Piovano, and T. Papadopoulo, Global region segmentation based on local statistics, Proceedings of the 10th European Conference on Computer Vision, pp.486-499, 2008.

R. Plonsey, Reciprocity Applied to Volume Conductors and the ECG, IRE Transactions on Bio-Medical Electronics, vol.10, issue.1, pp.9-12, 1963.
DOI : 10.1109/TBMEL.1963.4322775

. Quarteroni, . Valli, A. Quarteroni, and A. Valli, Domain Decomposition Methods for Partial Differential Equations, p.140, 1999.

. Ramon, Influence of head models on neuromagnetic fields and inverse source localizations, BioMedical Engineering OnLine, vol.5, issue.26, p.53, 2006.

. Rineau, L. Yvinec-]-rineau, and M. Yvinec, 3D surface mesh generation, CGAL User and Reference Manual. CGAL Editorial Board, p.144, 2011.

. Rush, . Driscoll, S. Rush, and D. Driscoll, Current Distribution in the Brain From Surface Electrodes, Anesthesia & Analgesia, vol.47, issue.6, pp.717-723, 1968.
DOI : 10.1213/00000539-196811000-00016

. Rush, . Driscoll, S. Rush, and D. Driscoll, Eeg electrode sensitivity -an application of reciprocity, IEEE Transactions on Biomedical Engineering, vol.16, issue.1, pp.15-22, 1969.

. Ryynänen, Effect of Electrode Density and Measurement Noise on the Spatial Resolution of Cortical Potential Distribution, IEEE Transactions on Biomedical Engineering, vol.51, issue.9, pp.511547-1554, 2004.
DOI : 10.1109/TBME.2004.828036

J. Sarvas, Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem, Physics in Medicine and Biology, vol.32, issue.1, pp.11-22, 1987.
DOI : 10.1088/0031-9155/32/1/004

J. Shewchuk, What is a good linear finite element ? In Interpolation, conditioning, anisotropy and quality measures. unpublished preprint, p.73, 2002.

J. Shewchuk, What is a good linear finite element? interpolation , conditioning, anisotropy, and quality measures (preprint), p.73, 2002.

. Shimony, Quantitative Diffusion-Tensor Anisotropy Brain MR Imaging: Normative Human Data and Anatomic Analysis, Radiology, vol.212, issue.3, pp.212770-784, 1999.
DOI : 10.1148/radiology.212.3.r99au51770

. Spinelli, Electromagnetic inverse solutions in anatomically constrained spherical head models, Brain Topography, vol.13, issue.24, pp.113-125, 2000.

. Taheri, A dry electrode for EEG recording, Electroencephalography and Clinical Neurophysiology, vol.90, issue.5, pp.376-383, 1994.
DOI : 10.1016/0013-4694(94)90053-1

. Tuch, Conductivity tensor mapping of the human brain using diffusion tensor MRI, Proceedings of the National Academy of Sciences, pp.11697-11701, 2001.
DOI : 10.1073/pnas.171473898

S. Vallaghé and M. Clerc, A Global Sensitivity Analysis of Three- and Four-Layer EEG Conductivity Models, IEEE Transactions on Biomedical Engineering, vol.56, issue.4, pp.988-995, 2009.
DOI : 10.1109/TBME.2008.2009315

S. Vallaghé and T. Papadopoulo, A Trilinear Immersed Finite Element Method for Solving the Electroencephalography Forward Problem, SIAM Journal on Scientific Computing, vol.32, issue.4, pp.2379-2394, 2010.
DOI : 10.1137/09075038X

. Vallaghé, The adjoint method for general EEG and MEG sensor-based lead field equations, Proceedings of BIOMAG. 25, pp.135-147, 2002.
DOI : 10.1088/0031-9155/54/1/009

D. Wang, C. Wang, and M. Denda, 3D BEM for general anisotropic elasticity, International Journal of Solids and Structures, vol.44, issue.22-23, pp.22-237073, 2007.
DOI : 10.1016/j.ijsolstr.2007.03.026
URL : http://doi.org/10.1016/j.ijsolstr.2007.03.026

. Wang, A new method to derive white matter conductivity from diffusion tensor mri, IEEE Trans Biomed Eng, issue.10, pp.552481-552487, 2008.

. Weinstein, Lead-field Bases for Electroencephalography Source Imaging, Annals of Biomedical Engineering, vol.28, issue.9, pp.1059-1164, 2000.
DOI : 10.1114/1.1310220

B. Wohlmuth, Discretization methods and iterative solvers based on domain decomposition, p.112, 2001.
DOI : 10.1007/978-3-642-56767-4

. Wolters, Geometry-adapted hexahedral meshes improve accuracy of finite-elementmethod-based eeg source analysis, Biomedical Engineering IEEE Transactions on, issue.8, pp.541446-1453, 2007.

. Wolters, 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, issue.3, pp.813-826, 2006.
DOI : 10.1016/j.neuroimage.2005.10.014

Z. Zhang, A fast method to compute surface potentials generated by dipoles within multilayer anisotropic spheres, Physics in Medicine and Biology, vol.40, issue.3, pp.335-349, 1995.
DOI : 10.1088/0031-9155/40/3/001