EEG Source Localization Using the Inverse Problem Methods

An Electroencephalography (EEG) inverse solution technique can be seen as a way to add spatial information to extra-cranial measurements. In other words, it is a mathematical/physical way to expand the dimensionality of scalp measurements so as to embed intra-cranial spatial information. This paper presents the new sLORETA-FOCUSS approach estimating the current density distribution in the brain. A comparative study of the sLORETA, FOCUSS, sLORETA-FOCUSS and its recursive version is also performed using the ROC curve analysis. The results demonstrate that the recursive sLORETA-FOCUSS method gives good solutions in terms of localization error, simulation time, and reconstruction precision in 3D.