Table 2.
Log-odds of risky choice from within-subjects analysis of classic system-based models
| Term | A: Estimate | B: Estimate |
|---|---|---|
| Intercept | 0.580 (0.121)*** | 0.575 (0.121)*** |
| NAcc | 0.140 (0.063)* | 0.135 (0.064)* |
| lPFC | −0.147 (0.057)* | −0.123 (0.058)* |
| Age | 0.105 (0.086) | 0.104 (0.086) |
| Gender | −0.084 (0.172) | −0.077 (0.172) |
| Variance component | A: Estimate | B: Estimate |
| Var(π0ij) | 0.267 | 0.267 |
| Var(π1ij) | 0.041 | 0.043 |
| Var(π2ij) | 0.024 | 0.024 |
| Fit statistic | A: Statistic | B: Statistic |
| AIC | 2888.7 | 2888.7 |
| BIC | 2951.5 | 2951.5 |
Gender was dummy coded (0 = male; 1 = female). NAcc refers to univariate ventral striatum activity; lPFC refers to univariate lPFC activity. Var() refers to a variance component of a given random effect from the model. Results come from a multilevel logistic regression model, with log-odds of a risky choice as the dependent variable. Column A, Results using an lPFC mask thresholded at 0.25; Column B, Results using an alternate, more conservative mask (thresholded at 0.50) that covered less cortical area.
*p < 0.05.
***p < 0.001.