NDLI: Magneto-/Electroencephalography with Space-Time Sparse Priors

Content Provider	IEEE Xplore Digital Library
Author	Bolstad, Andrew Van Veen, Barry Nowak, Robert
Copyright Year	2007
Description	Author affiliation: University of Wisconsin, Department of Electrical and Computer Engineering, Madison, WI 53706 (Bolstad, Andrew; Van Veen, Barry; Nowak, Robert)
Abstract	We examine the performance of "Space-Time Sparsity" (STS) penalized reconstruction of brain activity from magneto-/electroencephalographic (MEG/EEG) recordings. We propose two STS priors, both of which favor activation of a few localized areas of cortex over a limited time duration and bandwidth via appropriate basis functions. This provides a reasonable model of true brain activity which minimizes the impact of the inherently ill-conditioned, low SNR, spatial inverse problem. We use an expectation-maximization (EM) algorithm to solve the STS penalized least-squares cost function. The solution localizes brain activity in space and time, providing support for a refined signal estimate (e.g. minimum norm least-squares). We illustrate the approach on both simulated and real data and provide preliminary theoretical analysis of performance.
Starting Page	190
Ending Page	194
File Size	384862
Page Count	5
File Format	PDF
ISBN	9781424411979
DOI	10.1109/SSP.2007.4301245
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Sociotechnical systems Brain modeling Inverse problems Image reconstruction Spatial resolution Force measurement Biomedical measurements Time measurement Image sensors Image Reconstruction Magnetoencephalography Inverse Problems
Content Type	Text
Resource Type	Article

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