text: above). A linear regression model was most appropriate for PHC (AICdiff < 3), whereas a quadratic model performed best for 
  CA1 and CA2/3. As a control, we repeated the analyses with MTL subregion volumes after proportional volume correction of 
  total gray matter volume calculated by ASHS. Finally, we evaluated the relationship between endogenous sex hormones 
  (estrogen and progesterone) and subregion volumes using linear regression. Relationships were considered significant only if 
  they met FDR correction at q < .05. 