A Comparative Study of Localization Approaches to EEG Source Imaging
2007 IEEE/NIH LIFE SCIENCE SYSTEMS AND APPLICATIONS WORKSHOP(2007)
摘要
The EEG inverse problem of reconstructing the neural electrical current that produced a given measurement is ill-posed and many different source configurations can yield the same scalp potentials. In this study, we compared localizing capabilities or three EEG inverse algorithms: MUSIC, LORETA and Bayesian MCMC method. Simulations on a realistic head model show that comparing to MUSIC and LORETA, the computational power of MCMC methods offers a flexible and robust tool for EEG source imaging.
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关键词
EEG inverse problem,MUSIC,LORETA,MCMC,realistic head model
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