Figure 4 | Scientific Reports

Figure 4

From: Effects of white matter hyperintensities distribution and clustering on late-life cognitive impairment

Figure 4

Principal component analysis (N = 108). In (A), bars represent component loadings in each lobar region (frontal, temporal, parietal, occipital, and basal ganglia (BG)) by layers (1 to 4) and hemispheres (right and left). These loadings can be interpreted as the correlation coefficient between each pair of components and regions. In (B), loadings higher than 0.4 were plotted against the bullseye map for each component. These second panel indicates those regions which show the highest correlation with each component. This figure was constructed using ‘ggplot’ library (version 3.3.2, https://ggplot2.tidyverse.org/) included in R software (R version 3.6.3, 2020-02-29; 2020 The R Foundation for Statistical Computing, https://www.r-project.org/) and GNU image manipulation software (GIMP, version 2.10.22, https://www.gimp.org/).

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