EEG Inverse

Forward models

  • Spatiotemporal Forward Solution of the EEG and MEG Using Network Modeling
    Viktor K. Jirsa, Kelly J. Jantzen, Armin Fuchs, and J. A. Scott Kelso
    IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 21, NO. 5, MAY 2002 493
     

Papers

Researchers

Misc.

  • Spatial localisation of EEG dipoles in MRI using the 10-20 International System anatomical references
    Pascau, J., Desco, M., Rojo, P., Santos, A., Lopez, J., Pozo, M.A.
    Proc. of First Int'l Workshop on Image and Signal Processing and Analysis (EURASIP and IEEE), pp. 151-156. Pula (Croacia). Jun. 2000.
     

  • http://www.snr-jnt.org/topics/loreta/eegbiofeedback.htm 
     

  • Indications of nonlinearity, intraindividual specificity and stability of human EEG: The unfolding dimension
    http://www.physik.unizh.ch/~rmd/Publicat_index/node3.html 
     

  • LORETA (Low Resolution Electromagnetic Tomography)
    http://www.novatecheeg.com/Reference.html 
     

  • See MATLAB software developer
    La Sapienza University of Rome EEG lab 

  • BIOPATTERN (No. 508803) - Computational intelligence for biopattern analysis in support of eHealthcare.
    D8 - State-of-the-art on biomedical data analysis in the 3 SIG areas.

    Review on EEG Source Localization Methods
    Roberta Grech and Joseph Muscat
     

References

  • S. Baillet, J.C. Mosher and R.M. Leahy, Electromagnetic Brain Mapping, IEEE Signal Processing Magazine, November 2001, 14-30.
     

  • S. Baillet, Toward Functional Brain Imaging of Cortical Electrophysiology Markovian Models for Magneto and Electroencephalogram
    Source Estimation and Experimental Assessments, Ph.D Thesis, University of Paris-ParisXI, Orsay, France, 1998.
    http//sipi.usc.edu/ silvin/PhD.html
     

  • S. Baillet and L. Garnero, A Bayesian Approach to Introducing Anatomo-Functional Priors in the EEG/MEG Inverse Problem, IEEE
    Transactions on Biomedical Engineering, Vol.44, No.5, May 1997, 374- 385.
     

  • A.C.L. Lynn, The application of electromagnetic theory to electrocardiography. I. derivation of the integral equations, Biophysics Journal, 7, 1967, 443-462.
     

  • B.N. Cuffin, A Method for Localizing EEG Head Models, IEEE Transactions on Biomedical Engineering, Vol. 42, No.1, January 1995, 68-71.
     

  • B.N. Cuffin, EEG Dipole Source Localization, IEEE Engineering in Medicine and Biology, September/October 1998, 118-122.
     

  • A. Dale and M.Sereno, Improved Localization of Cortical Activity By Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach, Journal of Cognitive Neuroscience, 5(2), 162-176.
     

  • B.N. Datta, Numerical Linear Algebra and Applications, Brooks/Cole Publishing Company,1995.
     

  • J.J. Ermer, J.C. Mosher, S. Baillet and R.M. Leahy, Rapidly recomputable EEG forward models for realistic head shapes, Phys.Med Biol. 46(2001), 1265-1281.
     

  • Y. Fan, T. Jiang and X. Li, Relating cortical potentials to scalp EEGs in a realistically shaped inhomogeneous head model by means of the boundary element method. Preprint.
     

  • S. Finke, R.M. Gulrajani and J. Gotman, Conventional and Reciprocal Approaches to the Inverse Dipole Localization Problem of Electroencephalography, IEEE Transactions on Biomedical Engineering, Vol.50, No.6, June 2003, 657-666.
     

  • D.J. Fletcher, A. Amir, D.L. Jewett and G. Fein, Improved Method for Computation of Potentials in a Realistic Head Shape Model, IEEE Transactions on Biomedical Engineering, Vol.42. No.11, November 1995, 1094-1104.
     

  • J.H.M. Frijins, S.L. de Snoo and R. Schoonhoven, Improving the Accuracy of the Boundary Element Method by the Use of Second-Order Interpolation Functions, IEEE Transactions on Biomedical Engineering, Vol.47, No.10, October 2000, 1336-1346.
     

  • L. Gavit, S. Baillet, J-F Mangin, J. Pescatore and L. Garnero, A Multiresolution Framework to MEG/EEG Source Imaging, IEEE Transactions on Biomedical Engineering, Vol.48, No.10, October 2001, 1080-1087.
     

  • N.G. Gen¸cer and I. O?guz Tanzer, Forward problem solution of electromagnetic
    source imaging using a new BEM formulation with high-order
    elements, Phys. Med. Biol. 44 (1999) 2275-2287.
     

  • [16] N.G. Gen¸cer and S.J.Williamson, Differential Characterization of Neural
    Sources with Bimodal Truncated SVD Pseudo-Inverse for EEG and
    MEG Measurements, IEEE Transactions on Biomedical Engineering,
    Vol.45, No.7, July 1998, 827-838.
     

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

  • C.W. Groetsch, Inverse Problems in the Mathematical Sciences, Vieweg, 1993.
     

  • P.C. Hansen, Rank-Deficient and Discrete Ill-Posed Problems, Siam, 1998.
     

  • B.He, D.Yao, J.Lian and D Wu, An Equivalent Current Source Model and Laplacian Weighted Minimum Norm Current Estimates of Brain Electrical Activity, IEEE Transactions on Biomedical Engineering, Vol.49, No. 4, April 2002, 277-288.
     

  • A.K. Liu, A.M. Dale and J.W. Belliveau, Monte Carlo Simulation Studies of EEG and MEG Localization Accuracy, Human Brain Mapping
    16:47-62(2002).
     

  • E.Maris, A Resampling Method for Estimating the Signal Subspace of Spatio-Temporal EEG/MEG Data, IEEE Transactions on Biomedical
    Engineering, Vol.50, No.8, August 2003, 935-949.
     

  • K. Matsuura and Y. Okabe, Selective Minimum-Norm Solution of the Biomagnetic Inverse Problem, IEEE Transactions on Biomedical Engineering, Vol.42, No.6, June 1995, 608-615.
     

  • J.W.H. Meijs, O.W. Weier, M.J. Peters and A. Van Oosterom, On the Numerical Accuracy of the Boundary Element Method, IEEE Transactions on Biomedical Engineering, Vol.36, No.10, October 1989, 1038-1049.
     

  • M.I.Miga, T.E. Kerner and T.M.Darcey, Source Localization Using a Current-Density Minimization Approach, IEEE Transactions on Biomedical Engineering, Vol.49, No.7, July 2002, 743-745.
     

  • A. Mitchell and D.Griffiths, The Finite Difference Method in Partial Differential Equations, John Wiley & Sons, 1980.
     

  • J.C. Mosher, R.M. Leahy and P.S. Lewis, EEG and MEG: Forward Solutions for Inverse Methods, IEEE Transactions on Biomedical Engineering, Vol.46, No.3, March 1999, 245-259.
     

  • J.C. Mosher, P.S. Lewis, R.M.Leahy, Multiple Dipole Modeling and Localization from Spatio-Temporal MEG Data, IEEE Transactions on Biomedical Engineering, Vol.39, No.6, June 1992, 541-557.
     

  • J.C. de Munck, The Potential Distribution in a Layered Anisotropic Spheroidal Volume Conductor, Journal of Applied Physics, Vol.64, No.2, 1988, 464-470.
     

  • J.C. de Munck, P.C.M. Vijn and F.H. Lopes da Silva, A Random Dipole Model for Spontaneous Brain Activity, IEEE Transactions on Biomedical Engineering, Vol.39, No.8, August 1992, 791-803.
     

  • J.C. de Munck, The estimation of time varying dipoles on the basis of evoked potentials, Electroencephalography and clinical Neurophysiology, 1990, 77:156-160.
     

  • 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, No. 11, November
    1988, 960-966.
     

  • EEG/MEG Error Bounds for a Static Dipole Source with a Realistic Head Model
    C. H. Muravchik
    IEEE Transactions on Signal Processing, Vol. 49, No.3, March 2001, 470-483.
     

  • An Improvement in EEG Forward Model Computational Efficiency
    J. Muscat, R. Grech, K.P. Camilleri, S.G.Fabri and C.J.James
    MEDSIP 2004 Proceedings-2nd International Conference on Advances in Medical Signal and Information Processing Sep.5-8, 2004, Malta G.C., 99-103.
     

  • Review of Methods for Solving the EEG Inverse Problem
    R.D. Pascual-Marqui
    International Journal of Bioelectromagnetism 1999, Volume 1, Number 1, 75-86, Printed Issue ISSN 1457-7857, Internet Issue ISSN 1456-7865 (http://www.tut.fi/ijbem )
     

  • R.D. Pascual-Marqui, Standardized low resolution brain electromagnetic tomography (sLORETA):technical details, Methods and Findings in Experimental & Clinical Pharmacology 2002, 24D:5-12. Author’s version.
     

  • A Critical Analysis of Linear Inverse Solutions to the Neuroelectromagnetic Inverse Problem
    R.G. de Peralta-Menendez and S. L. Gonzalel-Andino
    IEEE Transactions on Biomedical Engineering, Vol.45, No.4, April 1998, 440-448.
     

  • Numerical Recipes in C
    W.H. Press, S.A. Teukolsky, W.T. Vetterling, B.P. Flannery
    Second Edition, Cambridge University Press, 1992.
     

  • Numerical model of electrical potential within a human head
    P.E. Rasser, M.D. Teubner, C.R. Clark
    ANZIAM J. 42 (E) ppC1218-C1237, 2000.
     

  • J.J. Riera, P.A. Valdes, M.E. Fuentes and Y. Oharriz, Explicit Backus and Gilbert EEG Inverse Solution for Spherical Symmetry, Department of Neurophysics, Cuban Neuroscience Center, Havana, Cuba. Preprint.
     

  • [41] J.J. Riera, M.E. Fuentes, P.A. Valdes and Y. Oharriz, Theoretical Basis of the EEG Spline Inverse Solutions for a Spherical Head Model, Department of Neurophysics, Cuban Neuroscience Center, Havana, Cuba. Preprint.
     

  • Solving the Forward Problem: Spherical vs. Realistic Electric Lead Field
    J.J. Riera, M.E. Fuentes, E.Aubert and D.Diaz
    Department of Neurophysics, Cuban Neuroscience Center, Havana, Cuba. Preprint.
     

  • Statistical Performance Analysis of Signal Variance-Based Dipole Models for MEG/EEG Source Localization and Detection
    A. Rodriguez-Rivera, B.D. Van Veen and R.T. Wakai
    IEEE Transactions on Biomedical Engineering, Vol.50, No.2, February 2003, 137-149.
     

  • An Improved Method for Localizing Electric Brain Dipoles
    Y. Salu, L.G. Cohen, D. Rose, S. Sato, C.Kufta and M. Hallett
    IEEE Transactions on Biomedical Engineering, Vol. 37, No.7, July 1990, 699-705.
     

  • Dipole Models for the EEG and MEG
    P.H. Schimpf, C. Ramon and J. Haueisen
    IEEE Transactions on Biomedical Engineering, Vol.49, No.5, May 2002, 409-418.
     

  • D.M. Schmidt, J.S. George, and C.C. Wood, Bayesian Inference Applied to the Electromagnetic Inverse Problem, Physics Division, Progress Report 1997-1998, 62-68.
     

  • K. Uutela, M. H¨am¨al¨ainen and R. Salmelin, Global Optimization in the Localization of Neuromagnetic Sources, IEEE Transactions on Biomedical Engineering, Vol.45, No.6, June 1998, 716-723.
     

  • P. Valdes-Sosa, F. Marti and R. Casanova, Variable Resolution Electric-Magnetic Tomography, Cuban Neuroscience Center, Havana Cuba. Preprint.
     

  • EEG dipole source analysis in a realistic head model
    B. Vanrumste, (Ph.D Thesis, University of Ghent, Belgium, 2001.)
    http://www.esat.kuleuven.ac.be/ bvanrums/doct.pdf
     

  • The Realistic Versus the Spherical Head Model in EEG Dipole Source Analysis in the Presence of Noise
    B. Vanrumste, G. Van Hoey, R. Van de Walle, P. Van Hese, M. D’Hav´e, P. Boon and I.Lemahieu
    Proceedings-23rd Annual Conference-IEEE/EMBS Oct.25-28, 2001, Istanbul, Turkey.
     

  • Computational Methods for Inverse Problems
    C.R. Vogel
    Siam, 2002.
     

  • K. Whittingstall, G. Stroink, L. Gates, J.F. Connolly and A. Finley, Effects of dipole position, orientation and noise on the accuracy
    of EEG source localization
    http://www.biomedical-engineeringonline.com/content/2/1/14
     

  • MEG, EEG and the integration with Magnetic Resonance Images
    H.J. Wieringa
    Ph.D Thesis, University of Twente, Enshede, The Netherlands, 1993. http://www.medcat.nl/megeeg/index2.htm
     

Scientific Articles

 

(C) 2004 - SPMC / SoCCE / UoP