DocumentCode :
1743209
Title :
MEG multipolar modeling of distributed sources using RAP-MUSIC
Author :
Mosher, John C. ; Baillet, Sylvain ; Jerbi, Karim ; Leahy, Richard M.
Author_Institution :
Los Alamos Nat. Lab., NM, USA
Volume :
1
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
318
Abstract :
We describe the use of truncated multipolar expansions for producing dynamic images of cortical neural activation from measurements of the magnetoencephalogram. We use a signal-subspace method to find the locations of a set of multipolar sources, each of which represents a region of activity in the cerebral cortex. Our method builds up an estimate of the sources in a recursive manner i.e. we first search for point current dipoles, then magnetic dipoles, and finally first order multipoles. The dynamic behavior of these sources is then computed using a linear fit to the spatiotemporal data. The final step in the procedure is to map each of the multipolar sources into an equivalent distributed source on the cortical surface. The method is illustrated through an application to epileptic interictal MEG data.
Keywords :
inverse problems; magnetic moments; magnetoencephalography; medical signal processing; physiological models; recursive estimation; MEG multipolar modeling; RAP-MUSIC; cerebral cortex; cortical neural activation; distributed sources; dynamic images; epileptic interictal MEG; equivalent distributed source; first order multipoles; inverse problem; linear fit; magnetic dipoles; magnetic moment models; point current dipoles; recursive estimation; region of activity; signal-subspace method; spatiotemporal data; tessellation; truncated multipolar expansions; Brain modeling; Cerebral cortex; Electromagnetic measurements; Epilepsy; Image processing; Inverse problems; Laboratories; Magnetic field measurement; Neuroscience; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.910970
Filename :
910970
Link To Document :
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