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

Aleksandar Dogandzic, Arye Nehorai

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations


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 H0 and the alternative H1, are estimated in order to find the probabilities of false alarm Pfa and detection Pd under a variety of conditions. We also derive a modified version of the GLR test that enables analytical computation of Pfa and Pd 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.

Original languageEnglish
Pages (from-to)1196-1200
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - 1997
EventProceedings of the 1996 30th Asilomar Conference on Signals, Systems & Computers. Part 2 (of 2) - Pacific Grove, CA, USA
Duration: Nov 3 1996Nov 6 1996


Dive into the research topics of 'Detecting a dipole source by MEG/EEG and generalized likelihood ratio tests'. Together they form a unique fingerprint.

Cite this