functional and structural ( mri ) brain data for each animal were co - registered to a standard space based on an age - appropriate rhesus monkey brain template . whole - brain linear regression analyses examined the relations between fdg uptake and at . to account for potential confounds , age and sex gray matter probability was also included as a voxelwise covariate to account for the possibility that structural differences affected the relation between brain metabolic activity and at . the resulting 3d t - map was corrected for multiple comparisons using the idk equation ( 1  ( 1  )1 / n ) , which is similar to the bonferroni method and determined the statistical threshold of p=0.05 , corrected ( t > 5.47 ) . to estimate the heritability of at , phenotypic covariance / correlation amongst pairs of relatives was modeled as a function of expected pairwise kinship values to estimate the magnitude of additive genetic variance relative to that of the observed phenotypic variance . age , age and sex were included in the mean effects model as covariates to control for these potential confounds . the resulting heritability data were corrected for multiple comparisons based on the total volume of all the clusters correlated with at using a false discovery rate ( fdr ; q - value = 0.05 ) . measured genotype analyses use the same variance components approach as the heritability analyses , and were implemented using solar . measured genotype analyses simultaneously estimate the effect of specific genotypic differences among animals and the overall effect of pair - wise kinship , thus testing for the effect of a single polymorphism while accounting for background allele sharing across the genome due to genealogical relatedness .