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

Medicine

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