Title :
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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747032
