Table 3.
Relationship between robotic measures of proprioception and DCML DTI parameters
| Non‐dominant hemisphere | Dominant hemisphere | |
|---|---|---|
| Position sense | ||
| Varxy (cm) | ||
| FA | R = −0.406, P = 0.004* | R = −0.171, P = 0.241 |
| MD | R = 0.540, P = 6.20 × 10−5* | R = 0.113, P = 0.441 |
| RD | R = 0.538, P = 6.80 × 10−5* | R = 0.222, P = 0.125 |
| AD | R = 0.510, P = 1.83 × 10−4* | R = −0.083, P = 0.570 |
| Fiber Count | R = −0.483, P = 4.45 × 10−4* | R = 0.324, P = 0.023 |
| Areaxy | ||
| FA | R = 0.122, P = 0.404 | R = 0.229, P = 0.114 |
| MD | R = 0.086, P = 0.556 | R = −0.059, P = 0.688 |
| RD | R = 0.042, P = 0.775 | R = −0.129, P = 0.375 |
| AD | R = 0.154, P = 0.292 | R = 0.062, P = 0.671 |
| Fiber Count | R = 0.008, P = 0.955 | R = 0.51, P = 0.728 |
| Shiftxy (cm) | ||
| FA | R = −0.265, P = 0.065 | R = −0.439, P = 0.002* |
| MD | R = 0.374, P = 0.008 | R = 0.005, P = 0.971 |
| RD | R = 0.368, P = 0.009 | R = 0.153, P = 0.295 |
| AD | R = 0.360, P = 0.011 | R = −0.204, P = 0.160 |
| Fiber Count | R = −0.235, P = 0.104 | R = 0.215, P = 0.138 |
| Kinesthesia | ||
| RL (s) | ||
| FA | R = −0.263, P = 0.068 | R = −0.050, P = 0.733 |
| MD | R = 0.467, P = 0.001* | R = −0.313, P = 0.028 |
| RD | R = 0.440, P = 0.002* | R = −0.205, P = 0.159 |
| AD | R = 0.482, P = 4.57 × 10−4* | R = −0.350, P = 0.014 |
| Fiber Count | R = −0.270, P = 0.061 | R = 0.118, P = 0.421 |
| RLv (s) | ||
| FA | R = −0.182, P = 0.212 | R = 0.040, P = 0.784 |
| MD | R = 0.434, P = 0.002* | R = −0.223, P = 0.124 |
| RD | R = 0.394, P = 0.005* | R = −0.173, P = 0.234 |
| AD | R = 0.471, P = 0.001* | R = −0.210, P = 0.147 |
| Fiber Count | R = −0.181, P = 0.214 | R = 0.243, P = 0.093 |
| IDE | ||
| FA | R = −0.132, P = 0.364 | R = 0.074, P = 0.612 |
| MD | R = 0.336, P = 0.018 | R = −0.084, P = 0.566 |
| RD | R = 0.307, P = 0.032 | R = −0.070, P = 0.632 |
| AD | R = 0.361, P = 0.011 | R = −0.072, P = 0.621 |
| Fiber Count | R = −0.437, P = 0.002* | R = 0.216, P = 0.136 |
| IDEv | ||
| FA | R = −0.099, P = 0.500 | R = 0.119, P = 0.417 |
| MD | R = 0.303, P = 0.035 | R = −0.184, P = 0.205 |
| RD | R = 0.275, P = 0.056 | R = −0.180, P = 0.217 |
| AD | R = 0.329, P = 0.021 | R = −0.123, P = 0.401 |
| Fiber Count | R = −0.462, P = 0.001* | R = 0.201, P = 0.166 |
| PSR | ||
| FA | R = −0.127, P = 0.386 | R = 0.071, P = 0.628 |
| MD | R = 0.317, P = 0.026 | R = −0.015, P = 0.920 |
| RD | R = 0.302, P = 0.035 | R = −0.017, P = 0.907 |
| AD | R = 0.323, P = 0.023 | R = −0.006, P = 0.968 |
| Fiber Count | R = −0.283, P = 0.049 | R = 0.044, P = 0.762 |
| PSRv | ||
| FA | R = −0.269, P = 0.062 | R = 0.063, P = 0.666 |
| MD | R = 0.531, P = 8.80 × 10−5* | R = −0.168, P = 0.248 |
| RD | R = 0.501, P = 2.43 × 10−4* | R = −0.114, P = 0.435 |
| AD | R = 0.545, P = 5.10 × 10−5* | R = −0.182, P = 0.210 |
| Fiber Count | R = −0.422, P = 0.003* | R = 0.179, P = 0.218 |
| Kinesthesia | ||
| PLR | ||
| FA | R = −0.165, P = 0.257 | R = 0.184, P = 0.206 |
| MD | R = 0.407, P = 0.004* | R = −0.134, P = 0.360 |
| RD | R = 0.381, P = 0.007 | R = −0.171, P = 0.239 |
| AD | R = 0.423, P = 0.002* | R = −0.031, P = 0.831 |
| Fiber Count | R = −0.422, P = 0.003* | R = −0.024, P = 0.867 |
| PLRv | ||
| FA | R = −0.236, P = 0.103 | R = 0.138, P = 0.344 |
| MD | R = 0.416, P = 0.003* | R = −0.13., P = 0.373 |
| RD | R = 0.401, P = 0.004* | R = −0.131, P = 0.370 |
| AD | R = 0.416, P = 0.003* | R = −0.081, P = 0.582 |
| Fiber Count | R = −0.442, P = 0.001* | R = 0.067, P = 0.648 |
Partial Spearman's correlations comparing the relationship between robotic sensory measures (no vision condition) and DCML tract diffusion parameters. R and p‐values with age‐correction are shown. An asterisks (*) denotes significant correlations following Bonferroni correction for multiple comparisons (new alpha = 0.005). Abbreviations: variability (Varxy), response latency (RL), response latency variability (RLv), initial direction error (IDE), initial direction error variability (IDEv), peak speed ratio (PSR), peak speed ratio variability (PSRv), path length ratio (PLR), path length ratio variability (PLRv), fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD).