text: Gray Matter Volume & Cortical Thickness: 
  We first computed Pearson’s product-moment correlation matrices between the following variables (n = 19 pregnancy 
  scans): gestation week, estradiol, progesterone, total GMV, and the 17 network-level average GMV values. We then ran a 
  multivariate regression analysis predicting ROI-level GMV changes by gestation week. To identify which regions were 
  changing at a rate different from the global decrease, we then re-ran the analyses to include total GMV as a variable of non- 
  interest in the regression model. A similar statistical approach was taken for T1w-derived subcortical volume estimates. We 
  ran a multivariate regression analysis predicting GMV changes over gestation in 28 regions-of-interest by gestation week 
  (FDR-corrected at q < 0.05). 
  
  T2-weighted MTL scans: 
  To evaluate the relationship between gestation week and medial temporal lobe (MTL) subregion volume over pregnancy (n = 
  7 bilateral subregions; n = 18 MTL scans), we used a combination of linear and non-linear models based on individual 
  subregion data patterns. Models were compared for best fit with each subregion via AIC from the GLM output (as described 