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. 2007 Mar 27;29(2):131–141. doi: 10.1002/hbm.20375

Table I.

Source magnetic field distributions

Subject Hem x y z SAM pseudo‐t FSS BSS
ICA ICA filt PCA PCA filt
AH L −15 −86.4 −5.7 6.6 1/1 (100) 1/18 (5.6) 3/18 (16.7) 2/18 (11.1) 2/18 (11)
R 16.6 −79.7 −3.1 8.7
EF L −13.5 −83.5 −18 6 1/1 (100) 0/8 (0) 2/28 (7.1) 10/31 (32.3) 11/31 (35)
R 13.5 −93.5 −10.9 5.5
GB L −13.6 −90.6 −3.4 8.6 1/1 (100) 3/27 (11) 4/23 (17.4) 7/27 (26) 7/27 (26)
R 16.3 −93.6 −5.1 7.2
KK L −29.8 −72.9 0.5 2.8 1/1 (100) 1/28 (3.6) 3/27 (11.1) 5/32 (15.6) 8/32 (25)
R 10.8 −73.5 14.4 4.3
MS L −7.1 −78 −2.9 6.1 1/7 (14.3) 0/16 (0) 3/17 (17.6) 5/26 (19.2) 4/26 (15)
SW L −5.4 −86.9 −10.7 18.9 2/4 (50) 0/8 (0) 1/8 (12.5) 9/42 (21.4) 11/42 (26)

For each subject, Thalairach coordinates and pseudo t‐values of the voxels—corresponding to the largest peaks of SAM‐SPM—based on data pooled across all spatial frequencies, for one or both hemispheres (Hem). These correspond to the locations of virtual electrodes whose corresponding weight vectors were used for subsequent correlation analyses. The number of sources correlated with SAM spatial filters on the total number of estimated sources is reported for each FSS/BSS method; the ratio expressed as a percentage is shown in brackets. For ICA and PCA, the total number of sources to be extracted was chosen to explain at least the 95% of total variance of the MEG data (see Methods); it is to be noted that—for ICA—the final estimated number of components could be smaller than the required number of sources, because of the non‐convergence of the independence rotation after the orthogonal one.