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. 2022 Mar 24;13:793693. doi: 10.3389/fneur.2022.793693

Table 2.

Principal component analysis on cerebellar tracts.

# Variance Eigenvalue Tract loadings PD vs. HC
1 40% 3.61 L DRTT: 0.54, R DRTT: 0.68, L SPCT: 0.32, R SPCT: 0.44, MCP: 0.67, L ICP: 0.66, R ICP: 0.76, L SCP: 0.73, R SCP: 0.78 t(38.6) = 2.24, p = 0.031
2 16% 1.43 L DRTT: −0.36, R DRTT: 0.18, L SPCT: 0.60, R SPCT: 0.63, MCP: 0.50, L ICP: −0.26, R ICP: −0.21, L SCP: −0.35, R SCP: −0.20 not retained
3 12% 1.04 L DRTT: −0.31, R DRTT: −0.22, L SPCT: 0.49, R SPCT: −0.27, MCP: −0.13, L ICP: 0.58, R ICP: 0.36, L SCP: −0.07, R SCP: −0.31 not retained
4 8% 0.76 Not retained not retained
5 7& 0.64 Not retained not retained
6 7% 0.63 Not retained not retained
7 5% 0.41 Not retained not retained
8 3% 0.27 Not retained not retained
9 2% 0.20 Not retained not retained

For each resulting component, the explained variance and associated Eigenvalue are reported. Based on Kaiser's criterion, the first 3 components can be retained. For those, the component loadings of all the considered tracts are reported, as is the statistical comparison between patients (PD) and healthy controls (HCs), as calculated with the two-sample t-test. L, Left; R, Right.