On the EEG/MEG forward problem solution for distributed cortical sources.

In studies of EEG/MEG problems involving cortical sources, the cortex may be modeled by a 2-D manifold inside the brain. In such cases the primary or impressed current density over this manifold is usually approximated by a set of dipolar sources located at the vertices of the cortical surface tesse...

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Publicado en:Medical & Biological Engineering & Computing Vol. 47; no. 10; pp. 1083 - 1092
Autores principales: von Ellenrieder N, Valdés-Hernández PA, Muravchik CH, von Ellenrieder, Nicolás, Valdés-Hernández, Pedro A, Muravchik, Carlos H
Formato: research Journal Article
Publicado: Springer Nature Oct2009
Acceso en línea:Ver este registro en EBSCOhost
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        atl: On the EEG/MEG forward problem solution for distributed cortical sources.
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          von Ellenrieder N
          Valdés-Hernández PA
          Muravchik CH
          von Ellenrieder, Nicolás
          Valdés-Hernández, Pedro A
          Muravchik, Carlos H
        affil: LEICI, Facultad de Ingenieria, Universidad Nacional de LaPlata, B1900TAG La Plata, Argentina
      sug:
        subj:
          Brain
          Diagnosis, Neurologic
          Electroencephalography
          Diagnostic Imaging
          Magnetics
      ab: In studies of EEG/MEG problems involving cortical sources, the cortex may be modeled by a 2-D manifold inside the brain. In such cases the primary or impressed current density over this manifold is usually approximated by a set of dipolar sources located at the vertices of the cortical surface tessellation. In this study, we analyze the different errors induced by this approximation on the EEG/MEG forward problem. Our results show that in order to obtain more accurate solutions of the forward problems with the multiple dipoles approximation, the moments of the dipoles should be weighted by the area of the surrounding triangles, or using an alternative approximation of the primary current as a constant or linearly varying current density over plane triangular elements of the cortical surface tessellation. This should be taken into account when computing the lead field matrix for solving the EEG/MEG inverse problem in brain imaging methods.
      pubtype: Academic Journal
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        research
        Journal Article
      ougenre: Article
    language: English
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