NDLI: Distinguishing between moving and stationary sources using EEG/MEG measurements with an application to epilepsy

Content Provider	IEEE Xplore Digital Library
Author	Yetik, I.S. Nehorai, A. Lewine, J.D. Muravchik, C.H.
Copyright Year	1964
Abstract	Performances of electroencephalography (EEG) and magnetoencephalography (MEG) source estimation methods depend on the validity of the assumed model. In many cases, the model structure is related to physical information. We discuss a number of statistical selection methods to distinguish between two possible models using least-squares estimation and assuming a spherical head model. The first model has a single moving source whereas the second has two stationary sources; these may result in similar EEG/MEG measurements. The need to decide between such models occurs for example in Jacksonian seizures (e.g., epilepsy) or in intralobular activities, where a model with either two stationary dipole sources or a single moving dipole source may be possible. We also show that all of the selection methods discussed choose the correct model with probability one when the number of trials goes to infinity. Finally we present numerical examples and compare the performances of the methods by varying parameters such as the signal-to-noise ratio, source depth, and separation of sources, and also apply the methods to real MEG data for epilepsy.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	9
File Size	399108
Starting Page	471
Ending Page	479
File Format	PDF
ISSN	00189294
Volume Number	52
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Epilepsy Brain modeling Magnetoencephalography Physics Biomedical measurements Magnetic field measurement Magnetic heads H infinity control Signal to noise ratio model selection epilepsy magnetoencephalography
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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