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. 2021 Aug 13;13:138. doi: 10.1186/s13195-021-00876-7

Table 3.

Associations between global network measures and tau-PET

Network property Whole sample Control Preclinical AD Prodromal AD AD dementia
Network size − 0.25 (0.03)*** 0.14 (0.26) − 0.22 (0.18) − 0.17 (0.10) − 0.08 (0.06)
Degree − 0.38 (0.06)*** − 0.37 (0.46) − 0.22 (0.31) − 0.36 (0.17) − 0.26 (0.10)*
Connectivity density − 0.42 (0.13)** − 1.03 (0.97) − 0.04 (0.66) − 0.48 (0.35) − 0.42 (0.21)
Clustering coefficient − 0.57 (0.05)*** − 0.24 (0.38) − 0.58 (0.26)* − 0.26 (0.14) − 0.34 (0.08)***
Path length − 0.87 (0.08)*** − 0.25 (0.62) − 1.04 (0.42)* − 0.65 (0.23)** − 0.47 (0.14)**
Gamma − 1.11 (0.09)*** − 0.23 (0.71) − 0.79 (0.48) − 0.65 (0.25)* − 0.72 (0.16)***
Lambda − 0.98 (0.09)*** − 0.29 (0.69) − 1.15 (0.47)* − 0.72 (0.25)** − 0.53 (0.15)**
Small world coefficient − 0.12 (0.10)*** − 0.21 (0.73) − 0.70 (0.49) − 0.63 (0.27)* − 0.75 (0.16)***

Data are presented as β (SE); Network measures are Z trasformed; gamma is normalised clustering; lambda is normalised path length; SUVr values in temporal meta-ROI; Model is adjusted for age, sex, TIV, and connectivity density (clustering, path length, γ, λ, small world-only). *p < 0.05, **p <0.01, ***p < 0.001, FDR corrected.