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. 2019 Mar 19;13:51. doi: 10.3389/fnbeh.2019.00051

Table 3.

Constrained principal component analysis (CPCA) results to explain variance in volumes of hippocampal subregions, tracts, basal ganglia, thalamus and amygdala in relation to neonatal clinical factors (NCF) and genotypes (G).

CPCA clinical and genotype variables Overall PC1 PC2 PC1 + PC2
Total variance 26.46 9.45 8.19 17.64
% variance 100.00 35.72 30.93 66.65
Variance explained by clinical variables and genotypes 13.79 6.87 5.32 12.19
% variance explained by clinical variables and genotypes 52.16 25.96 20.11 46.07
CPCA clinical × genotype interaction PC NCFxG
Variance explained by clinical variables × genotypes interaction 4.72 1.34 1.34
% Variance explained by clinical variables × genotypes interaction 17.84 5.08 5.08

Each component accounts for a portion of the total variance: the first component accounts for the largest amount of variance, with each successive component accounting for a smaller amount of the total variance. PC1, principal component 1; PC2, principal component 2; PC1 + PC2, sum of PC1 and PC2; PC NFCxG, interaction term between neonatal clinical factors and genotypes.