Table 3.
Multivariate logistic regression models to predict relapse (n = 67).
| Variables | β | S.E. | Wald | ORa (95% CIb) |
|---|---|---|---|---|
| NAC_cingulum anterior_R | −3.40* | 1.60 | 6.26 | 0.02 (0.001, 0.42) |
| mPFC_calcarine_L | −3.59* | 1.53 | 5.55 | 0.03 (0.001, 0.55) |
a
OR: adjusted odds ratio which was based on the binary logistic regression (forward: conditional) using relapse (yes vs. no) as a dependent variable, and age, education years, AUDIT scores at baseline survey and FC changes as independent variables;
b
95% CI: 95% confidence interval; NAc, nucleus accumbens; mPFC, medial prefrontal cortex; L, left; R, right;
*
P < 0.05.