Source Localization in Magnetoencephalography using an Iterative Weighted Minimum Norm Algorithm
نویسنده
چکیده
Imaging of brain activity based on magnetoencephalogmphy (MEG) requires high resolution e s t f motes that closely approcimate the spatial distribution of the underlying currents. W e etamine the physics of the MEG problem t o motivate the development of a new algorithm that meets its unique requirements. The technique is a nonparametric, iterative, weighted norm minimization procedure with posteriori constraints. W e develop the algorithm and determine the necessary requirements for convergence. Issues of initialization and bias equalization for MEG reconstruction, and techniques for analysis of noisy data are discussed.
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