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Electrical Neuroimaging with Irrotational Sources
Joint Authors
Gonzalez Andino, Sara
Grave de Peralta, Rolando
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper discusses theoretical aspects of the modeling of the sources of the EEG (i.e., the bioelectromagnetic inverse problem or source localization problem).
Using the Helmholtz decomposition (HD) of the current density vector (CDV) of the primary current into an irrotational (I) and a solenoidal (S) part we show that only the irrotational part can contribute to the EEG measurements.
In particular we present for the first time the HD of a dipole and of a pure irrotational source.
We show that, for both kinds of sources, I extends all over the space independently of whether the source is spatially concentrated (as the dipole) or not.
However, the divergence remains confined to a region coinciding with the expected location of the sources, confirming that it is the divergence rather than the CDV that really defines the spatial extension of the generators, from where it follows that an irrotational source model (ELECTRA) is always physiologically meaningful as long as the divergence remains confined to the brain.
Finally we show that the irrotational source model remains valid for the most general electrodynamics model of the EEG in inhomogeneous anisotropic dispersive media and thus far beyond the (quasi) static approximation.
American Psychological Association (APA)
Grave de Peralta, Rolando& Gonzalez Andino, Sara. 2015. Electrical Neuroimaging with Irrotational Sources. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1058001
Modern Language Association (MLA)
Grave de Peralta, Rolando& Gonzalez Andino, Sara. Electrical Neuroimaging with Irrotational Sources. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1058001
American Medical Association (AMA)
Grave de Peralta, Rolando& Gonzalez Andino, Sara. Electrical Neuroimaging with Irrotational Sources. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1058001
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058001