Table 2.
Task variability within each parcel averaged across all parcels and all subjects for each of the 15 task pairs. Shown are task variability computed with respect to the Yeo atlas initialization (column 3) and final result using the GPIP algorithm (column 4). Differences between the two are shown in column 5 and p-values for the Wilcoxon rank-sum test in column 6.
| Contrast | Yeo’s | GPIP from Yeo’s | Difference (Yeo – GPIP) |
p-value (ranksum) |
|
|---|---|---|---|---|---|
| EMOTION | faces_shapes | 3.269 | 2.920 | 0.350 | 1.01E-10 |
| GAMBLING | punish_reward | 2.255 | 1.795 | 0.460 | 1.66E-89 |
| LANGUAGE | math_story | 12.180 | 7.290 | 4.889 | 1.33E-200 |
| MOTOR | lf_avg | 2.826 | 2.413 | 0.414 | 2.27E-26 |
| lh_avg | 3.240 | 2.861 | 0.379 | 6.72E-10 | |
| rf_avg | 2.506 | 2.115 | 0.396 | 1.27E-25 | |
| rh_avg | 3.001 | 2.599 | 0.402 | 4.03E-15 | |
| t_avg | 7.296 | 6.393 | 0.903 | 6.39E-10 | |
| RELATIONAL | match_rel | 1.952 | 1.504 | 0.443 | 5.03E-83 |
| SOCIAL | random_tom | 3.159 | 2.279 | 0.886 | 2.63E-92 |
| WM | 0bk_2bk | 7.203 | 4.860 | 2.342 | 9.57E-90 |
| face_avg | 4.948 | 4.680 | 0.268 | 3.24E-02 | |
| place_avg | 4.487 | 4.056 | 0.425 | 1.15E-09 | |
| tool_avg | 3.817 | 3.246 | 0.571 | 1.05E-40 | |
| body_avg | 4.178 | 3.654 | 0.525 | 1.50E-14 | |
|
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