Table 2.
Implicit reinforcement learning ability predicts resting-state functional connectivity of nucleus accumbens
| Peak Coord | Vol | Average FC of cluster | Correlation between implicit reinforcement learning and FC of cluster | |||
|---|---|---|---|---|---|---|
| Mean | STDEV | r | Cluster P | |||
| Bilateral NAc seed | ||||||
| OFC | −16, 20, −10 | 1214 | 0.21 | 0.08 | 0.69 | <0.001 |
| Parietal cortex | 54, −36, 56 | 1070 | 0.01 | 0.09 | −0.66 | 0.001 |
| Left NAc seed | ||||||
| OFC | 8, 60, −24 | 1611 | 0.14 | 0.10 | 0.60 | 0.003 |
| Right NAc seed | ||||||
| OFC/subcallosal | −20, 4, −16 | 2463 | 0.09 | 0.10 | 0.61 | 0.002 |
| SMA | 6, −16, 52 | 941 | 0.05 | 0.02 | 0.44 | 0.042 |
| MFG | 36, 40, 24 | 1292 | 0.02 | 0.13 | −0.49 | 0.020 |
| Parietal cortex | 40, −42, 36 | 1704 | 0.01 | 0.09 | −0.54 | 0.010 |
Note: Coord = coordinates in MNI space, Vol = volume in 1 × 1 × 1 mm voxels, FC = resting-state functional connectivity. Peak thresholded at P < 0.05 2-sided, cluster corrected to false discovery rate (FDR) of P < 0.05.