Table 2.
Models of longitudinal change in IPS connectivity based on whole-brain connectivity analysis (Fig. 3)
| Connectivity (gPPI) | ||||||
|---|---|---|---|---|---|---|
| L insula | L dlPFC | L vlPFC | R IPS | R SPL | R FG | |
| Fixed effects | ||||||
| Intercept Est. (SE) | 2.34 (0.961) | 3.55(0.797) | 3.58 (0.0.971) | −3.06 (0.710) | −2.79 (0.610) | −2.77 (0.662) |
| Intercept t (p) | 2.43 (0.0179) | 4.46 (4.12e-05) | 3.61 (0.000494) | −4.30 (5.42e-05) | −4.58 (2.45e-05) | −4.19 (8.87e-05) |
| Age slope Est. (SE) | −0.230 (0.0951) | −0.349 (0.0777) | −0.380 (0.0961) | 0.252 (0.0705) | 0.208 (0.0602) | 0.232 (0.0656) |
| Age slope t (p) | −2.41 (0.0189) | −4.42 (5.29e-05) | −0.380 (0.000211) | 2.72 (0.00065) | 3.46 (0.00104) | 3.54 (0.000779) |
| Random effects | ||||||
| Intercept variance | 0.3 | 0.73 | 0.56 | 0.34 | 0.23 | 0.0714 |
| Residual variance | 1.79 | 1.52 | 1.35 | 0.66 | 0.68 | 0.888 |
| AIC | 253.7 | 239.81 | 255.15 | 198.48 | 194.0 | 200.7 |
Values for each term included in the final model and their significance are noted below. These include fixed-effect terms (regression coefficients and their standard errors) and random-effect terms (intercept variance and slope variance). Model-fitting procedures are described in the Methods section. Bold items indicate significant t statistics. Random effects are across individuals
Est. estimate, SE standard error, AIC Akaike information criterion, L left hemisphere, R right hemisphere, dlPFC dorsolateral prefrontal cortex, vlPFC ventrolateral prefrontal cortex, IPS intraparietal sulcus, SPL superior parietal lobule, FG fusiform gyrus