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Table 2 ND modeling to assess the relative contribution of connectivity and gene expression profile in explaining tau progression and distribution

From: Connectivity, not region-intrinsic properties, predicts regional vulnerability to progressive tau pathology in mouse models of disease

  Measure Boluda DSAD (6 Mo) Boluda CBD (6 Mo) Iba Hipp. Inj. (6 Mo) Iba Str. Inj. (6 Mo) Clavaguera (15 Mo)
Mouse Model / P301S P301S P301S P301S Alz17
Infusate / DSAD Homogenate CBD Homogenate Synthetic Tau Fibrils Synthetic Tau Fibrils P301S Purified Tau
Seed Region / CA1 & V1 CA1 CA1 & CA3 Caudoput. Hippocampus
ND USING STUDY SELECTED REGIONS (BIVARIATE CORRELATIONS)
 Connectivity, Deposition ΔR 0.30 0.22 0.45 0.23 0.25
 Connectivity, Slope ΔR 0.27 0.23 0.40 0.11 0.47
 Spatial, Deposition ΔR 0.01 0.00 0.01 0.00 0.03
 Spatial, Slope ΔR 0.02 0.00 0.01 0.00 0.01
 General Gene, Dep. ΔR 0.08 0.00 0.10 0.10 0.01
 General Gene, Slope ΔR 0.17 0.01 0.28 0.08 0.22
 Specific Gene, Dep. ΔR 0.01 0.02 0.03 0.02 0.00
 Specific Gene, Slope ΔR 0.02 0.02 0.22 0.00 0.05
 Noradren. Gene, Dep. ΔR 0.00 0.00 0.00 0.07 0.00
 Noradren. Gene, Slope ΔR 0.00 0.00 0.01 0.03 0.00
ND-CONNECTIVITY VS REGIONAL GENE EXPRESSION (MULTIVARIATE LINEAR MODEL)
 Connectivity T-Stat 12.74*** 8.97*** 10.51*** 2.90** 2.50*
 Seed or Baseline T-Stat −0.31 1.40 0.28 0.50 1.69
 Summed Specific Gene Ex. T-Stat −1.85 −2.05* −2.42* 2.53* 0.32
 Summed Noradren. Gene Ex. T-Stat 2.64** 1.67 1.92 0.44 0.19
  1. The entries below the “Bivariate Correlations” row correspond to the ΔR obtained from running the ND model with each row’s network from reported seedpoint. The four entries after the “Multivariate Linear Model” row represent the t-values and p-value thresholds obtained from ND model predictions or summed regional expression predictions after they were input as independent predictors into a Multivariate Linear Fit Model. *** p < 0.001, ** p < 0.01, * p < 0.05