Table 1. .
Reliability of edges in the functional connectome.
| Median ICC | Min ICC | Max ICC | Poor edges ratio | Fair edges ratio | Good edges ratio | Excellent edges ratio | ||
|---|---|---|---|---|---|---|---|---|
| Brainnetome | GSR− | 0.4688 | −0.0682 | 0.8145 | 0.2884 | 0.6271 | 0.0832 | 0.0014 |
| GSR+ | 0.3868 | −0.0750 | 0.8713 | 0.5294 | 0.3328 | 0.1191 | 0.0187 | |
| Glasser | GSR− | 0.4587 | −0.0627 | 0.8277 | 0.3085 | 0.6124 | 0.0777 | 0.0014 |
| GSR+ | 0.3522 | −0.0889 | 0.8643 | 0.6143 | 0.3103 | 0.0714 | 0.0040 | |
| Gordon | GSR− | 0.4122 | −0.0845 | 0.8102 | 0.4663 | 0.4755 | 0.0574 | 0.0008 |
| GSR+ | 0.3113 | −0.0965 | 0.8453 | 0.6939 | 0.2361 | 0.0663 | 0.0037 |
Note. We show the median, minimum, and maximum ICC of functional connectomes computed using three different atlases, with or without global signal regression. We also show the proportion of edges having poor (ICC < 0.40), fair (ICC = 0.40–0.60), good (ICC = 0.60–0.75), or excellent (ICC > 0.75) reliability, defined in accordance to Cicchetti (1994). ICC = intraclass correlation coefficient; GSR− = no global signal regression; GSR+ = global signal regression.