Table 3.
Log-odds of risky choice from within-subjects analysis of switchboard system-based models
| Term | A: Estimate | B: Estimate | C: Estimate |
|---|---|---|---|
| Intercept | 0.581 (0.123)*** | 0.510 (0.122)*** | 0.619 (0.122)*** |
| Value PE | 0.051 (0.048) | 0.008 (0.054) | −0.004 (0.052) |
| Cognitive control PE | −0.123 (0.047)** | −0.119 (0.060)* | −0.154 (0.055)** |
| Age | 0.113 (0.087) | 0.134 (0.079)† | 0.122 (0.087) |
| Gender | −0.104 (0.181) | 0.054 (0.181) | −0.176 (0.174) |
| Variance component | A: Estimate | B: Estimate | C: Estimate |
| Var(π0ij) | 0.259 | 0.253 | 0.284 |
| Var(π1ij) | 0.000 | 0.006 | 0.010 |
| Var(π2ij) | 0.003 | 0.039 | 0.022 |
| Fit statistic | A: Statistic | B: Statistic | C: Statistic |
| AIC | 2894.3 | 2892.6 | 2888.1 |
| BIC | 2957.1 | 2955.4 | 2950.9 |
Value PE refers to value-based PE; Cognitive control PE refers to cognitive control PE. 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 Neurosynth association maps for PE analysis; Column B, Results using Neurosynth uniformity maps; Column C, Results from a PE analysis using only unique voxels among the value and cognitive control Neurosynth uniformity maps (i.e., common voxels between the two masks were removed).
*p < 0.05.
**p < 0.01.
***p < 0.001.
†p < 0.10.