From: Review on solving the inverse problem in EEG source analysis
Iterative Method | Description |
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S-MAP with Iterative Focusing | Uses the S-MAP algorithm; an energy criterion is used to reduce the dimension of G; priors computed from the previous source estimate are used at each new iteration. |
Shrinking LORETA-FOCUSS | LORETA solution computed; Weighting matrix W constructed; FOCUSS algorithm used to estimate $\stackrel{\u02c6}{D}$; smoothing of current density values of prominent dipoles and their neighbours; shrinking of $\stackrel{\u02c6}{D}$ and G; computation of M = G$\stackrel{\u02c6}{D}$; process (computation of W etc.) repeated. |
SSLOFOM | sLORETA solution computed; Weighting matrix W constructed; FOCUSS algorithm used to estimate $\stackrel{\u02c6}{D}$; source estimation power is normalized; smoothing of current density values of prominent dipoles and their neighbours; shrinking of $\stackrel{\u02c6}{D}$ and G; computation of M = G$\stackrel{\u02c6}{D}$; process (computation of W etc.) repeated. |
ALF | Decimation ratios are defined; first ratio is used to retain the corresponding dipole locations and columns of G; sLORETA computed; source with maximum normalized power selected as centre point for spatial refinement; next decimation ratio used; process repeated until last ratio is reached; final sLORETA solution used to initialize FOCUSS algorithm with standardization. |