Detecting a dipole source by MEG/EEG and generalized likelihood ratio tests

We consider detection of a current dipole source in the head by magnetoencephalography (MEG) and electroencephalography (EEG) using the fundamental statistical techniques of generalized likelihood ratio (GLR) tests. The distributions of the GLR, under the null hypothesis H/sub 0/ and the alternative H/sub 1/, are estimated in order to find the probabilities of false alarm P/sub fa/ and detection P/sub d/ under a variety of conditions. We also derive a modified version of the GLR test that enables analytical computation of P/sub fa/ and P/sub d/ when the dipole's position is unknown. The results may be applied to compare the detection performance of different MEG/EEG systems and to optimize array design.

[1]  J. Sarvas.  Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. , 1987, Physics in medicine and biology.

[2]  Cees J. Stok,et al.  The influence of model parameters on EEG/MEG single dipole source estimation , 1987, IEEE Transactions on Biomedical Engineering.

[3]  Petre Stoica,et al.  MUSIC, maximum likelihood, and Cramer-Rao bound , 1989, IEEE Transactions on Acoustics, Speech, and Signal Processing.

[4]  Bo Wahlberg,et al.  Robust signal parameter estimation in the presence of array perturbations , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[5]  Benjamin Friedlander,et al.  On the generalized likelihood ratio test for a class of nonlinear detection problems , 1993, IEEE Trans. Signal Process..

[6]  Arye Nehorai,et al.  Vector-sensor array processing for electromagnetic source localization , 1994, IEEE Trans. Signal Process..

[7]  B. Porat,et al.  Detection and localization of vapor-emitting sources , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[8]  Z. Zhang,et al.  A fast method to compute surface potentials generated by dipoles within multilayer anisotropic spheres. , 1995, Physics in medicine and biology.

[9]  A. Nehorai,et al.  Magnetoencephalography with diversely oriented and multicomponent sensors , 1997, IEEE Transactions on Biomedical Engineering.