underscoring the magnitude of group differences (Table 3). When SWM accuracy scores were included in each samples’ model of best fit, as related to each region of interest, and re-run one relationship at a time, increased SWM accuracy scores were significantly and negatively related to activation of the right superior parietal node in the FHP sample (FHP S-Bχ2 [5, N=24]=7.135, p=.211, RMSEA= 0.000 with CI90% =.000-.279; r2=.16). Covariance of SWM performance across sample comparisons did not affect the previously described outcomes. In consideration of the small effect size of the path in the FHP group, differences in sample size, and invariance between groups, the influence of SWM accuracy on the overall model fit was judged to be insignificant. Taken together, these results suggest that age and FH status was shown to moderate the neural networks supporting successful SWM completion.