Table 1.
Performance improvement due to combining data across subjects under various simulated changes.
| CE1 | CE20 | PS1 | PS20 | ΔCE(%) | ΔPS(%) | ||
|---|---|---|---|---|---|---|---|
| Lambda [λ−1/2] | 0.3 | 6.9 ± 1.8 | 4.9 ± 3.0 | 11.4 ± 1.9 | 8.2 ± 2.7 | 28.2 | 28.1 |
| 1 | 6.4 ± 1.7 | 4.4 ± 2.6 | 10.7 ± 1.8 | 7.5 ± 2.3 | 32.3 | 29.7 | |
| 3 | 6.1 ± 1.6 | 4.0 ± 2.3 | 10.2 ± 1.7 | 7.1 ± 2.0 | 35.1 | 30.4 | |
| 10 | 6.0 ± 1.6 | 3.7 ± 2.2 | 9.9 ± 1.8 | 6.8 ± 1.9 | 37.6 | 31.2 | |
| 30 | 5.9 ± 1.6 | 3.6 ± 2.2 | 9.7 ± 1.8 | 6.7 ± 2.0 | 38.9 | 31.6 | |
| Covariance (type) | Task (SSS) | 8.0 ± 3.4 | 4.3 ± 3.3 | 12.5 ± 3.5 | 7.6 ± 3.5 | 46.8 | 39.2 |
| ERM (SSS) | 6.4 ± 1.8 | 4.2 ± 2.5 | 10.6 ± 1.9 | 7.4 ± 2.1 | 33.5 | 29.8 | |
| ERM | 6.1 ± 1.6 | 4.0 ± 2.3 | 10.2 ± 1.7 | 7.1 ± 2.0 | 35.1 | 30.4 | |
| Coreg. error (mm) | 0 | 6.1 ± 1.7 | 4.0 ± 2.3 | 10.2 ± 1.7 | 7.1 ± 2.0 | 35.1 | 30.3 |
| 2 | 6.3 ± 1.7 | 4.1 ± 2.4 | 10.4 ± 1.7 | 7.2 ± 2.1 | 35.5 | 30.6 | |
| 4 | 7.0 ± 1.6 | 4.3 ± 2.4 | 10.9 ± 1.7 | 7.3 ± 2.1 | 38.8 | 32.7 | |
| 8 | 8.9 ± 1.6 | 4.9 ± 2.5 | 12.5 ± 1.7 | 7.8 ± 2.2 | 45.6 | 37.8 | |
| SNR (dB) | -10 | 44.9 ± 12.2 | 19.0 ± 18.9 | 52.0 ± 13.3 | 24.7 ± 21.6 | 57.7 | 52.5 |
| 0 | 22.2 ± 11.2 | 5.8 ± 5.5 | 27.7 ± 12.5 | 9.5 ± 6.7 | 74.0 | 65.7 | |
| 10 | 11.2 ± 4.8 | 4.3 ± 3.3 | 15.8 ± 5.3 | 7.7 ± 3.6 | 61.1 | 51.2 | |
| 8 | 8.0 ± 3.4 | 4.3 ± 3.3 | 12.5 ± 3.5 | 7.6 ± 3.5 | 46.5 | 39.0 |
Centroid error is CE (mm), point spread is PE (mm), and the Δ values are given by, e.g., ΔCE = 100*(CE1 − CE20)/CE>1 (percent). Each measure is shown ± 1 standard deviation across cortical locations.