Table 3.
Logistic regression models predicting decisions to donate in photograph and silhouette conditions
| Behavioral | Neural | Combined | |
|---|---|---|---|
| Photograph condition | |||
| Positive arousal | 2.79** (0.98, 0.34) | 2.87** (0.98, 0.34) | |
| Negative arousal | −1.64 (−0.67, 0.41) | −1.70 (−0.69, 0.41) | |
| NAcc | 2.50* (0.87, 0.35) | 2.99** (0.92, 0.31) | |
| Insula | −0.99 (−0.38, 0.38) | −0.78 (−0.32, 0.40) | |
| Amygdala | −0.40 (−0.21, 0.52) | −0.34 (−0.16, 0.49) | |
| MPFC | 1.31 (0.25, 0.19) | 1.01 (0.19, 0.19) | |
| Log likelihood | −320.90 | −360.25 | −315.73 |
| R2 | 0.224 | 0.130 | 0.240 |
| AIC | 729.8 | 806.1 | 727.4 |
| Silhouette condition | |||
| Positive arousal | 3.58*** (1.83, 0.51) | 3.55*** (1.87, 0.53) | |
| Negative arousal | −4.46*** (−1.80, 0.41) | −4.49*** (−1.81, 0.40) | |
| NAcc | 0.24 (0.08, 0.33) | 0.35 (0.14, 0.39) | |
| Insula | −0.50 (−0.17, 0.33) | −0.78 (−0.24, 0.31) | |
| Amygdala | 0.91 (0.27, 0.30) | 0.73 (0.26, 0.35) | |
| MPFC | 0.93 (0.14, 0.15) | 1.49 (0.24, 0.17) | |
| Log likelihood | −304.0 | −372.0 | −303.2 |
| R2 | 0.259 | 0.097 | 0.264 |
| AIC | 684.5 | 827.3 | 689.4 |
Z-scores with coefficients and SEs in parentheses. Significance: ***p < 0.001; **p < 0.01; *p < 0.05. Regressions include subject random effects.