Table 1.
Connectivity/model path | Estimate | 95% CI | P-value |
---|---|---|---|
Mediator: CA1–IL | |||
Total effect: direct+mediation effects | −0.36 | −0.78 to −0.03 | 0.04 |
Direct effect: CA3–HIP->LI | 0.02 | −0.59 to 0.41 | 0.94 |
Mediation effect: CA3–HIP->CA1–IL->LI | −0.38 | −0.61 to −0.12 | <0.01 |
Mediator: CA3–HIP | |||
Total effect: direct+mediation effects | −0.58 | −0.90 to −0.37 | <0.01 |
Direct effect: CA1–IL ->LI | −0.59 | −0.97 to −0.19 | 0.02 |
Mediation effect: CA1–IL ->CA3–HIP—> LI | 0.01 | −0.32 to 0.28 | 0.92 |
The total effect is the relationship between the predictor and the outcome, whereas the direct effect is the relationship between the predictor and the outcome controlling for the mediator. Mediation effect is the difference between the total effect and direct effect. Hypothesis testing and statistical significance were evaluated with bootstrapping. An effect was statistically significant if the value 0 was not within the 95% bias-corrected.