Local maxima in EEG tomographies and their relation to multiple point sources

Author

Pflieger, Mark E.

Author_Institution

Neuro Scan Labs., El Paso, TX, USA

Volume

4

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

2139

Abstract

Local maxima in linear underdetermined inverse tomographies for EEG may be useful for initializing nonlinear overdetermined localization of multiple dipoles. The feasibility of this suggestion is studied by applying four distributed inverse approaches (MUSIC and three types of minimum norm) to a large number of simulated dipole configurations. A variant of LORETA with monopolar (i.e., reciprocal distance) smoothing is implemented, and a new minimum norm with directional dipolar smoothing is introduced

Keywords

Poisson equation; correlation methods; electroencephalography; inverse problems; mathematical operators; optimisation; smoothing methods; tomography; EEG tomographies; LORETA variant; MUSIC; Poisson equation; directional dipolar smoothing; distributed inverse approaches; head model; linear underdetermined inverse tomography; local maxima; low resolution EM tomography; minimum norm; monopolar smoothing; multiple dipoles; multiple point sources; nonlinear overdetermined localization; reciprocal distance smoothing; simulated dipole configurations; source grid; Brain modeling; Collaboration; Electroencephalography; Inverse problems; Laplace equations; Multiple signal classification; Optimization methods; Scalp; Smoothing methods; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.747032

Filename

747032