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. 2023 Jan 16;3:100067. doi: 10.1016/j.nbas.2023.100067

Fig. 4.

Fig. 4

What and where changes occur in SWM during aging. The beta coefficient from linear mixed effects modeling is shown as a matrix for all features across all pathways (inter-gyri top; intra-gyri bottom). Note that the beta coefficient describes “the association of the feature ‘y’ with Age”, which (due to normalization) represents the standard deviation change in feature per year. Non-significant effects are shown as diagonal line.