Table 2.
The number of time points in an fMRI dataset corrupted by large motion
| Number of Time Points with Excessive Motion |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Condition | fMRI Scan | Rat 1 | Rat 2 | Rat 3 | Rat 4 | Rat 5 | Rat 6 | Rat 7 | Rat 8 | Rat 9 | Rat 10 |
| Awake | Resting-state | 12 | 6 | 3 | 18 | 0 | 0 | 0 | 12 | 8 | 3 |
| Periodic-stimulus | 11 | 3 | 2 | 3 | 9 | 1 | 4 | 8 | 4 | 7 | |
| Random-stimulus | 21 | 12 | 9 | 10 | 4 | 1 | 16 | 15 | 27 | 15 | |
| Anesthetized | Resting-state | 0 | 0 | 0 | 26 | 11 | 0 | 0 | 0 | 3 | 2 |
| Periodic-stimulus | 0 | 1 | 0 | 17 | 7 | 1 | 0 | 0 | 0 | 1 | |
| Random-stimulus | 0 | 2 | 0 | 7 | 14 | 2 | 2 | 0 | 2 | 0 | |
Outlier time points were those that fell outside 1.5 times the interquartile range (0.25–0.75 quartile).