From: Review on solving the inverse problem in EEG source analysis
 |  | ED1 | |||
---|---|---|---|---|---|
 |  | Regularised | |||
 | SNR/dB | 5 | 10 | 15 | 25 |
 | Layer |  |  |  |  |
WMN | Surface | 3.46 ± 0.42 | 2.10 ± 0.28 | 1.34 ± 0.11 | 1.13 ± 0.03 |
 | Middle | 5.08 ± 0.50 | 3.94 ± 0.38 | 2.95 ± 0.21 | 2.40 ± 0.03 |
 | Deep | 5.91 ± 0.39 | 5.31 ± 0.36 | 4.61 ± 0.24 | 3.89 ± 0.15 |
sLORETA | Surface | 0.99 ± 0.1 | 0.49 ± 0.08 | 0.11 ± 0.04 | 0.00 ± 0.00 |
 | Middle | 1.61 ± 0.13 | 0.84 ± 0.11 | 0.25 ± 0.07 | 0.00 ± 0.00 |
 | Deep | 1.79 ± 0.25 | 0.95 ± 0.16 | 0.39 ± 0.13 | 0.00 ± 0.00 |
LORETA | Surface | 2.32 ± 0.08 | 2.18 ± 0.04 | 2.16 ± 0.03 | 2.21 ± 0.02 |
 | Middle | 1.51 ± 0.13 | 1.15 ± 0.08 | 0.95 ± 0.07 | 1.05 ± 0.06 |
 | Deep | 2.30 ± 0.21 | 1.81 ± 0.13 | 1.59 ± 0.11 | 1.53 ± 0.09 |
SLF | Surface | 5.27 ± 0.30 | 4.50 ± 0.28 | 3.81 ± 0.20 | 2.98 ± 0.13 |
 | Middle | 4.53 ± 0.39 | 4.09 ± 0.35 | 3.50 ± 0.31 | 2.51 ± 0.15 |
 | Deep | 3.89 ± 0.55 | 3.70 ± 0.45 | 3.27 ± 0.48 | 1.73 ± 0.30 |