DocumentCode
2529241
Title
Computing MEG signal sources
Author
Eklund, J. Mikael ; Bajesy, R. ; Sprinkle, Jonathan ; Simpson, Gregory V.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear
2005
fDate
8-11 Aug. 2005
Firstpage
332
Lastpage
335
Abstract
This paper deals with the complexity of the inverse computation of brain currents from magnetoencephalography (MEG) signals. MEG measures the magnetic field outside the head: in effect, the resultant field from the flow of current inside the brain. We describe our current techniques to perform this inverse computation (called source estimation in much of the literature), which provides a view of brain activity that is less sensitive to disturbances which affect other kinds of brain activity measurements, though much more expensive to record.
Keywords
brain; magnetoencephalography; medical signal processing; MEG signal source computing; brain currents; inverse computation; magnetic field; magnetoencephalography signals; source estimation; Brain modeling; Current measurement; Electroencephalography; Electromagnetic measurements; Fluid flow measurement; Frequency measurement; Magnetic field measurement; Magnetic heads; Magnetoencephalography; Performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN
0-7695-2442-7
Type
conf
DOI
10.1109/CSBW.2005.42
Filename
1540637
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