Table 4.
Model fits for the indirect and hyperdirect pathways during proactive and reactive response inhibition (stop) and go
| Successful stop |
Failed stop |
Go none (0% stop) |
Go low (25% stop) |
Go high (50% stop) |
||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Low (25%) |
High (50%) |
Low (25%) |
High (50%) |
Left key |
Right key |
Left key |
Right key |
Left key |
Right key |
|||||||||||
| BIC | N | BIC | N | BIC | N | BIC | N | BIC | N | BIC | N | BIC | N | BIC | N | BIC | N | BIC | N | |
| Indirect | ||||||||||||||||||||
| rIFC | 1688.7 | 16 | 2310.7 | 16 | 1699.4 | 16 | 2481.4 | 16 | 3810.7 | 0 | 3834.0 | 0 | 3139.5 | 10 | 3158.3 | 5 | 2416.0 | 16 | 2158.5 | 16 |
| Pre-SMA | 1688.8 | 16 | 2320.1 | 16 | 1701.1 | 16 | 2499.4 | 16 | 3827.6 | 0 | 3837.0 | 0 | 3133.9 | 10 | 3174.8 | 6 | 2389.2 | 16 | 2161.0 | 16 |
| rIFC and pre-SMA | 1489.9 | 16 | 1960.4 | 16 | 1451.7 | 16 | 2112.9 | 16 | 3267.4 | 4 | 3246.9 | 0 | 2657.1 | 13 | 2660.5 | 13 | 2099.1 | 16 | 1841.8 | 16 |
| Hyperdirect | ||||||||||||||||||||
| rIFC | 1792.7 | 16 | 2601.1 | 16 | 1866.8 | 16 | 2782.6 | 16 | 4390.3 | 0 | 4392.5 | 0 | 3631.6 | 8 | 3667.9 | 1 | 2676.9 | 16 | 2390.5 | 16 |
| Pre-SMA | 1785.3 | 16 | 2609.1 | 16 | 1868.7 | 16 | 2786.1 | 16 | 4413.4 | 0 | 4407.9 | 0 | 3597.9 | 8 | 3654.2 | 0 | 2686.7 | 16 | 2398.1 | 16 |
| rIFC and pre-SMA | 1619.9 | 16 | 2254.1 | 16 | 1648.7 | 16 | 2438.4 | 16 | 3889.3 | 0 | 3845.7 | 1 | 3179.2 | 8 | 3207.5 | 4 | 2391.0 | 16 | 2113.7 | 16 |
| Hyper + indirect | ||||||||||||||||||||
| rIFC | 1655.4 | 16 | 2241.6 | 16 | 1654.1 | 16 | 2396.1 | 15 | 3726.0 | 0 | 3724.7 | 0 | 3108.0 | 5 | 3092.8 | 2 | 2344.9 | 16 | 2088.5 | 16 |
| Pre-SMA | 1628.1 | 16 | 2259.1 | 16 | 1657.7 | 16 | 2417.7 | 15 | 3766.0 | 0 | 3743.1 | 0 | 3068.8 | 8 | 3095.7 | 1 | 2327.9 | 16 | 2098.5 | 16 |
| rIFC and pre-SMA | 1426.3 | 16 | 1860.8 | 16 | 1387.7 | 16 | 2000.3 | 15 | 3170.5 | 2 | 3111.3 | 1 | 2580.9 | 12 | 2560.2 | 7 | 2006.3 | 15 | 1762.1 | 16 |
Lower BIC values indicate a better balance between the variance and bias of the estimated model connections. N, The number of subjects where the defined model actually fitted the activity pattern in the a priori anatomically defined ROIs. %, Likelihood of stop trial occurrence. The best model for each condition, on the basis of lowest BIC values, is marked in bold.