Table 2.
Association between each dimension and multivariate outcome (LIFG-LINS, LIFG-LENT, and LIFG-MCING rsFC)
| Wilks Lambda, p-value | LIFG-LINS rsFC | LIFG-LENT rsFC | LIFG-MCING rsFC | |
|---|---|---|---|---|
| Separate Models | ||||
| Risk score | Λ = 0.57, p = 0.02 | r = −0.64, p = 0.002 | r = −0.08, p = 0.73 | r = −0.31, p = 0.18 |
| SCAREDpc | Λ = 0.86, p = 0.03 | r = −0.34, p = 0.005 | r = −0.13, p = 0.31 | r = −0.25, p = 0.05 |
| SCAREDpca | Λ = 0.83, p = 0.01 | r = −0.21, p = 0.10 | r = −0.17, p = 0.17 | r = −0.27, p = 0.04 |
| MFQpc | Λ = 0.93, p = 0.22 | – | – | – |
| MFQpca | Λ = 0.97, p = 0.55 | – | – | – |
| CALSpc | Λ = 0.73, p = 0.0002b | r = −0.43, p = 0.0003 | r = 0.16, p = 0.20 | r = −0.40, p = 0.001 |
| CALSpca | Λ = 0.68, p < 0.0001 | r = −0.57, p < 0.0001 | r = −0.11, p = 0.39 | r = −0.25, p = 0.05 |
| Combined Models: Full Sample | ||||
| SCAREDpc | Λ = 0.94, p = 0.29 | – | – | – |
| MFQpc | Λ = 0.97, p = 0.61 | – | – | – |
| CALSpc | Λ = 0.80, p = 0.004b | r = −0.34, p = 0.007 | r = 0.14, p = 0.28 | r = −0.34, p = 0.006 |
Associations between individual dimensions and rsFC were assessed (Separate Models). To test which dimensions were the most important predictors, we then ran models including all dimensions (Combined Models). All analyses are adjusted for offspring group, age, gender, and mean framewise displacement
aRemoving outliers >1.96 SDs above the mean (SCAREDpc n = 3; MFQpc n = 2; CALSpc n = 3)
bp < 0.05 after correction for three scales (SCAREDpc, MFQpc, CALSpc)
Significant findings (p < .05) are in bold