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. Author manuscript; available in PMC: 2021 Dec 1.
Published in final edited form as: Brain Imaging Behav. 2020 Dec;14(6):2692–2707. doi: 10.1007/s11682-019-00220-6

Table 3.

Top 10 regions with the largest weight of dynamic graph theoretic features

Dynamic feature Num. Mean weight frequency Brain region (AAL) Brain region
Spatiotemporal diversity 1 −0.1842 100 Cuneus_R R Cuneus
2 0.1711 100 Cerebelum_4_5_R R Cerebellum
3 −0.1355 100 Precentral_L L Precental gyrus
4 −0.1078 100 Occipital_Mid_R R Middle occipital gyrus
5 0.1020 100 Insula_L L Insula
6 0.0918 100 Putamen_R R Lenticular nucleus
7 −0.0866 98 Calcarine_L L Calcarine fissure and surrounding cortex
8 0.0692 97 Thalamus_L L Thalamus
9 0.0649 97 Temporal_Inf_R R Inferior temporal gyrus
10 −0.0645 96 Parietal_Inf_L L Inferior parietal
Temporal flexibility 1 0.1229 100 Cerebelum_8_R R Cerebellum
2 0.1185 100 Temporal_Inf_L L Inferior temporal gyrus
3 −0.0901 100 Postcentral_L L Postcentral gyrus
4 −0.0663 99 Parietal_Sup_L L Superior parietal gyrus
5 −0.0534 92 Occipital_Inf_L L Inferior occipital gyrus
6 −0.0458 97 Frontal_Inf_Orb_L L Inferior frontal gyrus
7 −0.0394 89 Fusiform_R R Fusiform gyrus
8 −0.0382 92 Parietal_Inf_L L Inferior parietal
9 0.0309 91 Thalamus_L L Thalamus
10 −0.0296 87 Cuneus_R R Cuneus