Table 2. Top 3 regional accuracies within the Human Motor Area Template (HMAT) and accuracy when using all regions (HMAT union).
| Subject | Accuracy (%) | |||
|---|---|---|---|---|
| Left S1 | Left PMv | Left M1 | HMAT Union | |
| 01 | 66.0 | 44.1 | 43.4 | 44.9 |
| 02 | 44.3 | 47.2 | 53.1 | 46.8 |
| 03 | 75.7 | 69.9 | 73.8 | 75.3 |
| 04 | 68.3 | 75.3 | 71.9 | 76.7 |
| 05 | 59.3 | 64.6 | 70.0 | 69.4 |
| 06 | 76.4 | 75.8 | 70.7 | 79.8 |
| 08 | 60.2 | 58.3 | 48.7 | 62.3 |
| 09 | 60.3 | 62.5 | 58.9 | 62.8 |
| 10 | 67.4 | 61.4 | 62.2 | 59.9 |
| 11 | 80.8 | 66.2 | 64.6 | 73.9 |
| Mean (SD) | 65.9 (10.6) | 62.5 (10.6) | 61.7 (10.5) | 65.2 (12.2) |
An SVM was trained to differentiate wrist extension and flexion using spatially normalized images (realigned, slice-time corrected, transformed to MNI space) evaluated using 10-fold cross validation.