Research Article
Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment
Figure 5
Between-group differences in clustering coefficient () and characteristic path length () of different morphological features based networks. The graph shows the differences in and between NC and aMCI as a function of sparsity of geometric measures networks. The blue lines represent the mean values (open circles) and 95% confidence intervals of the between-group differences obtained from 1000 permutation tests at each sparsity value. The arrows indicate significant difference in or between the two groups. (a) Between-group differences in and as a function of sparsity of cortical thickness networks. (b) Between-group differences in and as a function of sparsity of gray matter volume networks. (c) Between-group differences in and as a function of sparsity of surface area networks. (d) Between-group differences in and as a function of sparsity of mean curvature networks. (e) Between-group differences in and as a function of sparsity of metric distortion (Jacobian) networks. (f) Between-group differences in and as a function of sparsity of sulcal depth networks. Thickness, cortical thickness. Volume, gray matter volume. Area, surface area. Curv, mean curvature. Sulc, sulcal depth. NC, normal controls.
(a) Thickness |
(b) Volume |
(c) Area |
(d) Curv |
(e) Jacobian |
(f) Sulc |