Z. A. Acar, C. E. Acar, and S. Makeig, Simultaneous head tissue conductivity and EEG source location estimation, NeuroImage, vol.124, pp.168-180, 2016.
DOI : 10.1016/j.neuroimage.2015.08.032

Z. A. Acar and S. Makeig, Effects of Forward Model Errors on EEG Source Localization, Brain Topography, vol.6, issue.4, pp.378-396, 2013.
DOI : 10.1007/BF01211174

M. Akhtari, H. C. Bryant, A. N. Mamelak, E. R. Flynn, L. Heller et al., Conductivities of Three-Layer Live Human Skull, Brain Topography, vol.14, issue.3, pp.151-167, 2002.
DOI : 10.1023/A:1014590923185

G. Alessandrini, Singular solutions of elliptic equations and the determination of conductivity by boundary measurements, Journal of Differential Equations, vol.84, issue.2, pp.252-272, 1990.
DOI : 10.1016/0022-0396(90)90078-4

G. Alessandrini, Stable determination of conductivity by boundary measurements, Applicable Analysis, vol.1975, issue.1-3, pp.153-172, 1998.
DOI : 10.2307/1971291

G. Alessandrini, Generic uniqueness and size estimates in the inverse conductivity problem with one measurement, Le Matematiche, vol.54, issue.3, pp.5-14, 1999.

G. Alessandrini, L. Rondi, E. Rosset, and S. Vessella, The stability for the Cauchy problem for elliptic equations, Inverse Problems, vol.25, issue.12, 2009.
DOI : 10.1088/0266-5611/25/12/123004

G. Alessandrini and S. Vessella, Lipschitz stability for the inverse conductivity problem, Advances in Applied Mathematics, vol.35, issue.2, pp.207-241, 2005.
DOI : 10.1016/j.aam.2004.12.002

H. Ammari, H. Kang, J. P. Ary, S. A. Klein, and D. H. Fender, Polarization and Moment Tensors, With Applications to Inverse Problems and Effective Medium Theory Location of Sources of Evoked Scalp Potentials: Corrections for Skull and Scalp Thicknesses, IEEE Transactions on Biomedical Engineering BME, issue.6, pp.28447-452, 1981.

B. Atfeh, L. Baratchart, J. Leblond, and J. R. Partington, Bounded Extremal and Cauchy???Laplace Problems on??the??Sphere and Shell, Journal of Fourier Analysis and Applications, vol.11, issue.2, pp.177-203, 2010.
DOI : 10.1007/978-1-4612-1015-3

URL : https://hal.archives-ouvertes.fr/hal-00798945

C. Athanasiadis, A. Ramm, and I. Stratis, Inverse Acoustic Scattering by a Layered Obstacle, Inverse Problems, Tomography, and Image Processing, pp.1-8, 1998.
DOI : 10.1007/978-1-4020-7975-7_1

S. Axler, P. Bourdon, and W. Ramey, Harmonic Function Theory, 2001.

C. Knösche, J. Grova, C. H. Wellmer, and . Wolters, Zoomed MRI Guided by Combined EEG/MEG Source Analysis: A Multimodal Approach for Optimizing Presurgical Epilepsy Work-up and its Application in a Multi-focal Epilepsy Patient Case Study, Brain Topography, pp.1-17, 2017.

¨. U. Aydin, J. Vorwerk, P. Küpper, M. Heers, H. Kugel et al., Combining EEG and MEG for the Reconstruction of Epileptic Activity Using a Calibrated Realistic Volume Conductor Model, PLoS ONE, vol.21, issue.3, p.93154, 2014.
DOI : 10.1371/journal.pone.0093154.t006

S. Baillet, J. C. Mosher, and R. M. Leahy, Electromagnetic brain mapping, IEEE Signal Processing Magazine, vol.18, issue.6, pp.14-30, 2001.
DOI : 10.1109/79.962275

L. Baratchart, A. B. Abda, F. B. Hassen, and J. Leblond, Recovery of pointwise sources or small inclusions in 2D domains and rational approximation, Inverse Problems, vol.21, issue.1, pp.51-74, 2005.
DOI : 10.1088/0266-5611/21/1/005

S. B. Baumann, D. R. Wozny, S. K. Kelly, and F. M. Meno, The electrical conductivity of human cerebrospinal fluid at body temperature, IEEE Transactions on Biomedical Engineering, vol.44, issue.3, pp.220-223, 1997.
DOI : 10.1109/10.554770

H. Buchner, G. Knoll, M. Fuchs, A. Rienäcker, R. Beckmann et al., Inverse localization of electric dipole current sources in finite element models of the human head, Electroencephalography and Clinical Neurophysiology, vol.102, issue.4, pp.267-278, 1997.
DOI : 10.1016/S0013-4694(96)95698-9

G. Chavent and K. Kunisch, The Output Least Squares Identifiability of the Diffusion Coefficient from an H1?Observation in a 2?D Elliptic Equation. ESAIM: Control, Optimisation and Calculus of Variations, pp.423-440, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00072569

G. Chen and J. Zhou, Boundary Element Methods with Applications to Nonlinear Problems, 2010.
DOI : 10.2991/978-94-91216-27-5

M. Clerc, J. Leblond, J. Marmorat, and T. Papadopoulo, Source localization using rational approximation on plane sections, Inverse Problems, vol.28, issue.5, p.55018, 2012.
DOI : 10.1088/0266-5611/28/5/055018

URL : https://hal.archives-ouvertes.fr/inria-00613644

M. Clerc, J. Leblond, J. Marmorat, and C. Papageorgakis, Uniqueness result for an inverse conductivity recovery problem with application to EEG. Rendiconti dell'Istituto di Matematica dell, An International Journal of Mathematics, vol.48, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01303640

A. Crouzeix, B. Yvert, O. Bertrand, and J. Pernier, An evaluation of dipole reconstruction accuracy with spherical and realistic head models in MEG, Clinical Neurophysiology, vol.110, issue.12, pp.2176-2188, 1999.
DOI : 10.1016/S1388-2457(99)00174-1

B. N. Cuffin, EEG localization accuracy improvements using realistically shaped head models, IEEE Transactions on Biomedical Engineering, vol.43, issue.3, pp.299-303, 1996.
DOI : 10.1109/10.486287

B. N. Cuffin, EEG localization accuracy improvements using realistically shaped head models, IEEE Transactions on Biomedical Engineering, vol.43, issue.3, pp.299-303, 1996.
DOI : 10.1109/10.486287

M. Dannhauer, B. Lanfer, C. H. Wolters, and T. R. Knösche, Modeling of the human skull in EEG source analysis, Human Brain Mapping, vol.89, issue.9, pp.1383-1399, 2011.
DOI : 10.1023/B:BRAT.0000032867.41555.d0

F. Darvas, J. J. Ermer, J. C. Mosher, and R. M. Leahy, Generic head models for atlas-based EEG source analysis, Human Brain Mapping, vol.22, issue.2, pp.129-143, 2006.
DOI : 10.1016/B978-012692535-7/50086-0

G. Dassios, Electric and Magnetic Activity of the Brain in Spherical and Ellipsoidal Geometry, Mathematical Modeling in Biomedical Imaging I, pp.133-202, 2009.
DOI : 10.1007/978-3-642-03444-2_4

G. Dassios and A. S. Fokas, Electro-magneto-encephalography for a three-shell model: dipoles and beyond for the spherical geometry, Inverse Problems, vol.25, issue.3, pp.35001-29065012, 2009.
DOI : 10.1088/0266-5611/25/3/035001

R. Dautray and J. Lions, Mathematical Analysis and Numerical Methods for Science and Technology: Volume 1 Physical Origins and Classical Methods, 1990.

J. C. De-munck, B. W. Van-dijk, and H. Spekreijse, Mathematical dipoles are adequate to describe realistic generators of human brain activity, IEEE Transactions on Biomedical Engineering, vol.35, issue.11, pp.960-966, 1988.
DOI : 10.1109/10.8677

A. Badia and T. Ha-duong, An inverse source problem in potential analysis, Inverse Problems, vol.16, issue.3, pp.651-663, 2000.
DOI : 10.1088/0266-5611/16/3/308

O. Faiz, S. Blackburn, and D. B. Moffat, Anatomy at a Glance At a glance series, p.649701824, 2011.

O. Faugeras, F. Clément, R. Deriche, R. Keriven, T. Papadopoulo et al., The inverse EEG and MEG problems: The adjoint state approach I: The continuous case, 1999.
URL : https://hal.archives-ouvertes.fr/inria-00077112

A. S. Fokas and Y. Kurylev, -norm in spherical geometry, Inverse Problems, vol.28, issue.3, p.35010, 2012.
DOI : 10.1088/0266-5611/28/3/035010

V. Fonov, A. C. Evans, K. Botteron, C. R. Almli, R. C. Mckinstry et al., Unbiased average age-appropriate atlases for pediatric studies, NeuroImage, vol.54, issue.1, pp.313-327, 2011.
DOI : 10.1016/j.neuroimage.2010.07.033

C. Gabriel, S. Gabriel, and E. Corthout, The dielectric properties of biological tissues: I. Literature survey, Physics in Medicine and Biology, vol.41, issue.11, p.412231, 1996.
DOI : 10.1088/0031-9155/41/11/001

S. Gabriel, R. W. Lau, and C. 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, p.412251, 1996.
DOI : 10.1088/0031-9155/41/11/002

R. Ganesan and S. Radhakrishnan, Segmentation of computed tomography brain images using genetic algorithm, International Journal of Soft Computing, vol.4, issue.4, pp.157-161, 2009.

N. G. Gençer and C. E. Acar, Sensitivity of EEG and MEG measurements to tissue conductivity, Physics in Medicine and Biology, vol.49, issue.5, p.701, 2004.
DOI : 10.1088/0031-9155/49/5/004

A. Gramfort, M. Kowalski, and M. Hämäläinen, Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods, Physics in Medicine and Biology, vol.57, issue.7, p.1937, 2012.
DOI : 10.1088/0031-9155/57/7/1937

URL : https://hal.archives-ouvertes.fr/hal-00690774

A. Gramfort, T. Papadopoulo, E. Olivi, and M. , OpenMEEG: opensource software for quasistatic bioelectromagnetics, BioMedical Engineering OnLine, vol.9, issue.1, p.45, 2010.
DOI : 10.1186/1475-925X-9-45

URL : https://hal.archives-ouvertes.fr/inria-00467061

R. Grech, T. Cassar, J. Muscat, K. P. Camilleri, S. G. Fabri et al., Review on solving the inverse problem in EEG source analysis, Journal of NeuroEngineering and Rehabilitation, vol.5, issue.1, p.25, 2008.
DOI : 10.1186/1743-0003-5-25

M. Hämäläinen, R. Hari, J. Ilmoniemi, J. Knuutila, and O. V. Lounasmaa, Magnetoencephalography???theory, instrumentation, and applications to noninvasive studies of the working human brain, Reviews of Modern Physics, vol.41, issue.2, pp.413-497, 1993.
DOI : 10.1063/1.1659074

M. 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

J. W. George and . Belliveau, The Influence of Brain Tissue Anisotropy on Human EEG and MEG, NeuroImage, vol.15, issue.1, pp.159-166, 2002.

B. Hofmann-wellenhof and H. Moritz, Physical Geodesy, 2006.

C. J. Holmes, R. Hoge, L. Collins, R. Woods, A. W. Toga et al., Enhancement of MR Images Using Registration for Signal Averaging, Journal of Computer Assisted Tomography, vol.22, issue.2, 1998.
DOI : 10.1097/00004728-199803000-00032

V. Isakov, On uniqueness of recovery of a discontinuous conductivity coefficient, Communications on Pure and Applied Mathematics, vol.125, issue.7, pp.865-877, 1988.
DOI : 10.1002/cpa.3160410702

V. Isakov, Inverse Problems for Partial Differential Equations, 1998.

M. Jenkinson, P. Bannister, M. Brady, S. Smith56-]-k, J. C. Jerbi et al., Improved optimization for the robust and accurate linear registration and motion correction of brain images On MEG forward modelling using multipolar expansions, NeuroImage Physics in Medicine & Biology, vol.17, issue.474, pp.825-841523, 2002.

D. Kandaswamy, T. Blu, and D. Van-de-ville, Analytic sensing for multi-layer spherical models with application to EEG source imaging, Inverse Problems and Imaging, vol.7, issue.4, pp.1251-1270, 2013.
DOI : 10.3934/ipi.2013.7.1251

H. Kang and J. K. Seo, The layer potential technique for the inverse conductivity problem, Inverse Problems, vol.12, issue.3, pp.267-278, 1996.
DOI : 10.1088/0266-5611/12/3/007

H. Kang and J. K. Seo, A note on uniqueness and stability for the inverse conductivity problem with one measurement, J. Korean Math. Soc, vol.38, pp.781-792, 2001.

C. Kenig, J. Sjöstrand, and G. Uhlmann, The Calder??n problem with partial data, Annals of Mathematics, vol.165, issue.2, pp.567-591, 2007.
DOI : 10.4007/annals.2007.165.567

A. Kirsch, An Introduction to the Mathematical Theory of Inverse Problems, 1996.

P. H. Laarne, M. L. Tenhunen-eskelinen, J. K. Hyttinen, and H. J. Eskola, Effect of EEG Electrode Density on Dipole Localization Accuracy Using Two Realistically Shaped Skull Resistivity Models, Brain Topography, vol.12, issue.4, pp.249-254, 2000.
DOI : 10.1023/A:1023422504025

Y. Lai, W. Van-drongelen, L. Ding, K. E. Hecox, V. L. Towle et al., 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

M. Lalancette, M. Quraan, and D. Cheyne, Evaluation of multiplesphere head models for MEG source localization, Physics in Medicine & Biology, issue.17, p.56, 2011.

B. Lanfer, M. Scherg, M. Dannhauer, T. R. Knösche, M. Burger et al., Influences of skull segmentation inaccuracies on EEG source analysis, NeuroImage, vol.62, issue.1, pp.418-431, 2012.
DOI : 10.1016/j.neuroimage.2012.05.006

J. Leblond, Identifiability Properties for Inverse Problems in EEG Data Processing Medical Engineering with Observability and Optimization Issues, Acta Applicandae Mathematicae, vol.8, issue.3, pp.175-190, 2015.
DOI : 10.1088/0266-5611/8/6/008

URL : https://hal.archives-ouvertes.fr/hal-00875006

J. Leblond, C. Paduret, S. Rigat, and M. Zghal, Source localization in ellipsoids by the best meromorphic approximation in planar sections, Inverse Problems, vol.24, issue.3, p.35017, 2008.
DOI : 10.1088/0266-5611/24/3/035017

S. Lew, C. H. Wolters, A. Anwander, S. Makeig, and R. S. Macleod, Improved EEG source analysis using low-resolution conductivity estimation in a four-compartment finite element head model, Human Brain Mapping, vol.42, issue.9, pp.2862-2878, 2009.
DOI : 10.1016/S1053-8119(96)80170-4

K. Maksymenko, T. Papadopoulo, and M. Clerc, A fast EEG forward problem approximation method and its application to tissue conductivity estimation, International Conference on Basic and Clinical Multimodal Imaging, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01563293

T. Medani, D. Lautru, D. Schwartz, Z. Ren, and G. Sou, FEM METHOD FOR THE EEG FORWARD PROBLEM AND IMPROVEMENT BASED ON MODIFICATION OF THE SAINT VENANT'S METHOD, Progress In Electromagnetics Research, vol.153, pp.11-22, 2015.
DOI : 10.2528/PIER15050102

R. G. Menendez, S. G. Andino, G. Lantz, C. M. Michel, and T. Landis, Noninvasive Localization of Electromagnetic Epileptic Activity . I. Method Descriptions and Simulations, Brain Topography, vol.14, issue.2, pp.131-137, 2001.
DOI : 10.1023/A:1012944913650

C. M. Michel, M. M. Murray, G. Lantz, S. Gonzalez, L. Spinelli et al., EEG source imaging, Clinical Neurophysiology, vol.115, issue.10, pp.2195-2222, 2004.
DOI : 10.1016/j.clinph.2004.06.001

URL : https://hal.archives-ouvertes.fr/hal-00617795

V. Montes-restrepo, P. Van-mierlo, G. Strobbe, S. Staelens, S. Vandenberghe et al., Influence of Skull Modeling Approaches on EEG Source Localization, Brain Topography, vol.30, issue.3, pp.95-111, 2014.
DOI : 10.1016/j.neuroimage.2005.10.014

J. C. Mosher, S. Baillet, and R. M. Leahy, EEG Source Localization and Imaging Using Multiple Signal Classification Approaches, Journal of Clinical Neurophysiology, vol.16, issue.3, pp.225-238, 1999.
DOI : 10.1097/00004691-199905000-00004

J. C. Mosher and R. M. Leahy, Recursive MUSIC: A framework for EEG and MEG source localization, IEEE Transactions on Biomedical Engineering, vol.45, issue.11, pp.1342-1354, 1998.
DOI : 10.1109/10.725331

J. C. Mosher, P. S. Lewis, and R. M. Leahy, Multiple dipole modeling and localization from spatio-temporal MEG data, IEEE Transactions on Biomedical Engineering, vol.39, issue.6, pp.541-557, 1992.
DOI : 10.1109/10.141192

J. Nédélec, Acoustic and Electromagnetic Equations: Integral Representations for Harmonic Problems, 2001.

P. L. Nunez, R. F. Srinivasan-]-t, J. Oostendorp, D. F. Delbeke, and . Stegeman, Electric Fields of the Brain: The Neurophysics of EEG The conductivity of the human skull: Results of in vivo and in vitro measurements, IEEE Transactions on Biomedical Engineering, issue.11, pp.471487-1492, 2000.
DOI : 10.1093/acprof:oso/9780195050387.001.0001

C. Papageorgakis, S. Hitziger, and T. Papadopoulo, Dictionary Learning for Multidimensional Data, Proceedings of GRETSI 2017, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01575263

R. D. Pascual-marqui, M. Esslen, K. Kochi, and D. Lehmann, Functional imaging with low-resolution brain electromagnetic tomography (LORETA): A review, Methods and findings in experimental and clinical pharmacology, vol.24, pp.91-95, 2002.

R. D. Pascual-marqui, D. Lehmann, T. Koenig, K. Kochi, M. C. Merlo et al., Low resolution brain electromagnetic tomography (LORETA) functional imaging in acute, neurolepticnaive , first-episode, productive schizophrenia, Psychiatry Research: Neuroimaging, issue.3, pp.90169-179, 1999.

V. P. Pikulin and S. I. Pohozaev, Equations in Mathematical Physics: A Practical Course, 2012.

R. Pohlmeier, H. Buchner, G. Knoll, A. Rien¨ackerrien¨-rien¨acker, R. Beckmann et al., The influence of skull-conductivity misspecification on inverse source localization in realistically shaped finite element head models, Brain Topography, vol.29, issue.Suppl., pp.157-162, 1997.
DOI : 10.1016/B978-0-12-160262-8.50008-6

R. Potthast and I. Stratis, The Singular Sources Method for an Inverse Transmission Problem, Computing, vol.75, issue.2-3, pp.237-255, 2005.
DOI : 10.1007/s00607-004-0085-z

C. Ramon, P. H. Schimpf, and J. Haueisen, Influence of head models on EEG simulations and inverse source localizations, BioMedical Engineering OnLine, vol.5, issue.1, p.10, 2006.
DOI : 10.1186/1475-925X-5-10

J. K. Rice, C. Rorden, J. S. Little, and L. C. Parra, Subject position affects EEG magnitudes, NeuroImage, vol.64, pp.476-484, 2013.
DOI : 10.1016/j.neuroimage.2012.09.041

D. Rivest-hénault, N. Dowson, P. B. Greer, J. Fripp, and J. A. Dowling, Robust inverse-consistent affine CT???MR registration in MRI-assisted and MRI-alone prostate radiation therapy, Medical Image Analysis, vol.23, issue.1, pp.56-69, 2015.
DOI : 10.1016/j.media.2015.04.014

C. Rorden, L. Bonilha, J. Fridriksson, B. Bender, and H. Karnath, Age-specific CT and MRI templates for spatial normalization, NeuroImage, vol.61, issue.4, pp.957-965, 2012.
DOI : 10.1016/j.neuroimage.2012.03.020

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

C. E. Sanchez, J. E. Richards, and C. R. Almli, Age-Specific MRI Templates for Pediatric Neuroimaging, Developmental Neuropsychology, vol.216, issue.3, pp.379-399, 2012.
DOI : 10.1109/42.906424

L. Spinelli, S. G. Andino, G. Lantz, M. Seeck, and C. M. Michel, Electromagnetic Inverse Solutions in Anatomically Constrained Spherical Head Models, Brain Topography, vol.13, issue.2, pp.115-125, 2000.
DOI : 10.1023/A:1026607118642

C. Stark, ROI-Demons

M. Stenroos and O. Hauk, Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error, NeuroImage, vol.81, pp.265-272, 2013.
DOI : 10.1016/j.neuroimage.2013.04.086

C. Tang, F. You, G. Cheng, D. Gao, F. Fu et al., Correlation Between Structure and Resistivity Variations of the Live Human Skull, IEEE Transactions on Biomedical Engineering, vol.55, issue.9, pp.2286-2292, 2008.
DOI : 10.1109/TBME.2008.923919

N. Toussaint, J. Souplet, and P. Fillard, MedINRIA: Medical Image Navigation and Research Tool by INRIA, Proc. of MICCAI'07 Workshop on Interaction in Medical Image Analysis and Visualization, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00616047

G. Uhlmann, Electrical impedance tomography and Calder??n's problem, Inverse Problems, vol.25, issue.12, p.123011, 2009.
DOI : 10.1088/0266-5611/25/12/123011

G. Uhlmann, Electrical impedance tomography and Calder??n's problem, Inverse Problems, vol.25, issue.12, p.123011, 2009.
DOI : 10.1088/0266-5611/25/12/123011

P. A. Valdés-hernández, N. Von-ellenrieder, A. Ojeda-gonzalez, S. Kochen, Y. Alemán-gómez et al., Approximate average head models for EEG source imaging, Journal of Neuroscience Methods, vol.185, issue.1, pp.125-132, 2009.
DOI : 10.1016/j.jneumeth.2009.09.005

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. Vallaghe, M. Clerc, S. Vallaghé, M. Clerc, and J. Badier, A Global Sensitivity Analysis of Threeand Four-Layer EEG Conductivity Models In vivo conductivity estimation using somatosensory evoked potentials and cortical constraint on the source, 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.988-995, 2007.

R. Van-uitert, C. Johnson, and L. Zhukov, Influence of Head Tissue Conductivity in Forward and Inverse Magnetoencephalographic Simulations Using Realistic Head Models, IEEE Transactions on Biomedical Engineering, vol.51, issue.12, pp.2129-2137, 2004.
DOI : 10.1109/TBME.2004.836490

T. Vercauteren, X. Pennec, A. Perchant, and N. Ayache, Diffeomorphic demons: Efficient non-parametric image registration, NeuroImage, vol.45, issue.1, pp.61-72, 2009.
DOI : 10.1016/j.neuroimage.2008.10.040

URL : https://hal.archives-ouvertes.fr/inserm-00349600

J. Vorwerk, J. Cho, S. Rampp, H. Hamer, T. R. Knösche et al., A guideline for head volume conductor modeling in EEG and MEG, NeuroImage, vol.100, pp.590-607, 2014.
DOI : 10.1016/j.neuroimage.2014.06.040

F. Wiesinger, L. I. Sacolick, A. Menini, S. S. Kaushik, S. Ahn et al., Zero TEMR bone imaging in the head, Magnetic Resonance in Medicine, vol.17, issue.1, pp.107-114, 2016.
DOI : 10.1109/42.668698

C. Wolters, A. Anwander, G. Berti, and U. Hartmann, Geometry-Adapted Hexahedral Meshes Improve Accuracy of Finite-Element-Method-Based EEG Source Analysis, IEEE Transactions on Biomedical Engineering, vol.54, issue.8, pp.1446-1453, 2007.
DOI : 10.1109/TBME.2007.890736

C. H. Wolters, A. Anwander, X. Tricoche, D. Weinstein, M. A. Koch et al., 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.30813-826, 2006.
DOI : 10.1016/j.neuroimage.2005.10.014

C. H. Wolters, L. Grasedyck, and W. Hackbusch, Efficient computation of lead field bases and influence matrix for the FEM-based EEG and MEG inverse problem, Inverse Problems, vol.20, issue.4, p.1099, 2004.
DOI : 10.1088/0266-5611/20/4/007

C. H. Wolters, S. Lew, R. S. Macleod, and M. Hämäläinen, Combined EEG/MEG source analysis using calibrated finite element head models, Biomedizinische Technik/Biomedical Engineering, issue.1, pp.5564-68, 2010.

Z. Zhang, P. Liu, D. Zhou, and L. Ding, An improved 10-tissue human head model with real anatomical structure and hexahedral discretization feature in magnetic induction measurement simulation, Computer Assisted Surgery, vol.24, issue.sup1, pp.148-153, 2016.
DOI : 10.1109/TBME.2003.808809