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Chunk #214 — 3 Inverse solutions — 3.1 Non parametric optimization methods — 3.1.4 Shrinking methods and multiresolution methods — Standardized shrinking LORETA-FOCUSS (SSLOFO)

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Review on solving the inverse problem in EEG source analysis.
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In [41], SSLOFO reconstructed different source configurations better than WMN and sLORETA. It also gave better results than FOCUSS when there were many extended sources. A spatio-temporal version of SSLOFO is also given in [41]. An important feature of this algorithm is that the temporal waveforms of single/multiple sources in the simulation studies are clearly reconstructed, thus enabling estimation of neural dynamics directly from the cortical sources. Neither Shrinking LORETA-FOCUSS nor FOCUSS are able to accurately reconstruct the time series of source activities.