A Comparison of LORETA and the Borgiotti-Kaplan Beamformer in Simulated EEG Source Localization with a Realistic Head Model
نویسندگان
چکیده
An accurate and robust EEG source localization algorithm is an asset in the understanding, diagnosis, and treatment of some neurological disorders. Two inverse algorithms, LORETA and the Borgiotti-Kaplan beamformer (BK Beam) are used to localize a single dipole source from a simulated EEG within a realistic head model. Compared over a range of SNR values and source locations, the BK Beam exhibited superior localizing capabilities with less dispersion than LORETA.
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