In Knösche, T. R. & Haueisen, J., editors, *EEG/MEG Source Reconstruction: Textbook for Electro-and Magnetoencephalography*, pages 89–133. Springer International Publishing, Cham, 2022.

Paper doi abstract bibtex

Paper doi abstract bibtex

This chapter introduces the fundamental mathematical descriptions for the sources of EEG and MEG. Starting from the multipole expansions of the electric and magnetic potentials, we will develop the concept of the equivalent current dipole. From there, we will derive spatio-temporal dipole models as well as distributed source models. Finally, we will introduce biologically motivated dynamic source models based on neural masses. Special emphasis is placed on the parameterization of source models (and thereby the inverse problem) and the use of constraints.

@incollection{knosche_source_2022, address = {Cham}, title = {Source {Models}}, isbn = {978-3-030-74918-7}, url = {https://doi.org/10.1007/978-3-030-74918-7_4}, abstract = {This chapter introduces the fundamental mathematical descriptions for the sources of EEG and MEG. Starting from the multipole expansions of the electric and magnetic potentials, we will develop the concept of the equivalent current dipole. From there, we will derive spatio-temporal dipole models as well as distributed source models. Finally, we will introduce biologically motivated dynamic source models based on neural masses. Special emphasis is placed on the parameterization of source models (and thereby the inverse problem) and the use of constraints.}, language = {en}, urldate = {2022-11-03}, booktitle = {{EEG}/{MEG} {Source} {Reconstruction}: {Textbook} for {Electro}-and {Magnetoencephalography}}, publisher = {Springer International Publishing}, author = {Knösche, Thomas R. and Haueisen, Jens}, editor = {Knösche, Thomas R. and Haueisen, Jens}, year = {2022}, doi = {10.1007/978-3-030-74918-7_4}, pages = {89--133}, }

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