Table 1.
The importance of principal components and variable loadings from the principal component analysis (PCA) with eigenvalues based on the covariance matrix. HLV1 (3): volume of left hippocampus at baseline (follow-up); HLM1 (3): metric distance of left hippocampus at baseline (follow-up); HRV1 (3): volume of right hippocampus at baseline (follow-up); HRM1 (3): metric distance of right hippocampus at baseline (follow-up); PCj stands for principal component j for j = 1,2,…,8 ; Prop. Var: proportion of variance explained by the principal components; Cum. Prop: cumulative proportion of the variance explained by the particular principal component.
| PCA with Covariance (for volume and metric distances) | ||||||||
| Importance of Components | ||||||||
| PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 | PC8 | |
| Prop. Var | .9091 | .0637 | .0196 | .0075 | ~ .0 | ~ .0 | ~ .0 | ~ .0 |
| Cum. Prop. | .9091 | .9729 | .9924 | ~1 .0 | ~1 .0 | ~1 .0 | ~1 .0 | 1 .0 |
| Variable Loadings | ||||||||
| PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 | PC8 | |
| HLV1 | 0.42 | 0.50 | 0.23 | 0.72 | ~ . 0 | ~ .0 | ~ .0 | ~ .0 |
| HLV3 | 0.43 | 0.62 | −0.10 | −0.65 | ~ . 0 | ~ .0 | ~ .0 | ~ .0 |
| HRV1 | 0.58 | −0.50 | 0.62 | −0.18 | ~ . 0 | ~ .0 | ~ .0 | ~ .0 |
| HRV3 | 0.55 | −0.34 | −0.75 | 0.16 | ~ .0 | ~ .0 | ~ .0 | ~ .0 |
| HLM1 | ~ .0 | ~ .0 | ~ .0 | ~ .0 | −0.56 | 0.43 | −0.24 | 0.67 |
| HLM3 | ~ .0 | ~ .0 | ~ .0 | ~ .0 | −0.64 | 0.25 | 0.50 | −0.52 |
| HRM1 | ~ .0 | ~ .0 | ~ .0 | ~ .0 | −0.48 | −0.55 | −0.63 | −0.28 |
| HRM3 | ~ .0 | ~ .0 | ~ .0 | ~ .0 | −0.21 | −0.67 | 0.55 | 0.45 |