Estimating evoked dipole responses in unknown spatially correlated noise with EEG/MEG arrays
Estimating evoked dipole responses in unknown spatially correlated noise with EEG/MEG arrays
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DOI：
10.1109/78.815475
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发表时间：
2000-01-01
影响因子：
5.4
通讯作者：
Nehorai, A
中科院分区：
文献类型：
--
作者：
Dogandzic, A;Nehorai, A
We present maximum likelihood (ML) methods for estimating evoked dipole responses using electroencephalography (EEG) and magnetoencephalography (MEG) arrays, which allow for spatially correlated noise between sensors with unknown covariance. The electric source is modeled as a collection of current dipoles at fixed locations and the head as a spherical conductor. We permit the dipoles' moments to vary with time by modeling them as linear combinations of parametric or nonparametric etc. basis functions. We estimate the dipoles' locations and moments and derive the Cramer-Rao bound for the unknown parameters. We also propose an ML-based method for scanning the brain response data, which can be used to initialize the multidimensional search required to obtain the true dipole location estimates. Numerical simulations demonstrate the performance of the proposed methods.
