Dipole source localization by means of maximum likelihood estimation I. Theory and simulations.
By analyzing simulated neuromagnetic recordings with a 37 channel magnetometer system, it was shown that the accuracy of a dipole source localization is considerably improved if the standard least-squares fit procedure is replaced by a maximum likelihood estimation accounting for the covariances of the noise in the measurement channels. Spatially correlated noise was generated by random dipoles homogeneously distributed in a sphere representing the brain. The study suggests that a maximum likelihood estimation reduces the standard deviations of the estimated dipole parameters by roughly a factor of two.
Lütkenhöner
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Institute of Experimental Audiology, University of Münster, Germany. lutkenh@uni-muenster.de
D000465:Algorithms; D000704:Analysis of Variance; D003198:Computer Simulation; D004569:Electroencephalography / Q000706:statistics & numerical data; D006801:Humans; D015225:Magnetoencephalography / Q000706:statistics & numerical data*; D008959:Models, Neurological