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Source Modeling for EEG and MEG

EEG and MEG are commonly used for brain mapping, and the study of diseases such as epilepsy, alzheimer, and others. Classical source modeling for EEG/MEG is either focal sources, or a distributed source with sources estimated at each point in the brain. We develop parametric one- and two-dimensional sources that has the advantage of the ability to model sources distributed on a curve or a surface.



One-dimensional and two-dimensional sources can be estimated with EEG and MEG with our methods.
An additional 5% of the measured data can be explained using the extended source models that we developed.
The extents and the shapes of the extended sources have useful phisiological information
The real data that is used in these experiments are from N20 responses.


  • We have also developed model selection methods that can distinguish between different types of source models such as moving or stationary electrical sources. Prior model selection is crucial for accurate source localization.

  • References:
    1. N. Cao, I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, Parametric Surface-source Modeling and Estimation with lectroencephalography, IEEE Transactions on Biomedical Engineering, vol. 53, pp. 2414-2424, 2006.
    2. N. Cao, I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, Estimating Parametric Line-Source Models with Electroencephalography,IEEE Transactions on Biomedical Engineering, vol. 53, pp. 2156-2165, 2006.
    3. I. S. Yetik,A. Nehorai, C. H. Muravchik, J. Hauesien, "Surface-source modeling and estimation using biomagnetic measurements," IEEE Transactions on Biomedical Engineering, vol. 53, pp. 1872-1882, 2006.
    4. I. S. Yetik, A. Nehorai, J. D. Lewine, C. H. Muravchik, "Distinguishing between moving and stationary sources using EEG/MEG measurements with an application to epilepsy," IEEE Transactions on Biomedical Engineering, vol. 52, pp. 471-479, 2005.
    5. I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Line-source modeling and estimation with magnetoencephalography", IEEE Transactions on Biomedical Engineering,vol. 51, pp. 839-851, 2005.
    6. N. Cao, I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Line-source Modeling and Estimation with Electroencephalography", Proceedings of BEM and NFSI, 2005.
    7. I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Hauesien, "Line-source modeling and estimation with magnetoencephalography", Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging, pp.1339-1342, 2004.
    8. I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Hauesien, "Line and surface source estimation with magnetoencephalography", Proceedings of the 14th Biomag, pp. 603-604, 2004.