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Table 3 Regression and Linear Models analyses run restricted to only study selected regions and including all 426 ABA brain regions

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

  Measure 4 Months Age 6 Months Age 8 Months Age
ND MODELING (BIVARIATE CORRELATIONS)
Analysis Using Study Selected Regions Only
 Connectivity ΔR 0.00 0.01 0.02
 Spatial ΔR 0.01 0.02 0.02
 General Gene ΔR 0.02 0.03 0.04
 Specific Tau Genes ΔR 0.08 0.13 0.12
 Noradrenergic Genes ΔR 0.05 0.10 0.10
Analysis Using All 426 ABA Regions
 Connectivity ΔR 0.09 0.16 0.21
 Spatial ΔR 0.00 0.00 0.01
 General Gene ΔR 0.00 0.00 0.00
 Specific Gene ΔR 0.00 0.00 0.00
 Noradrenergic Gene ΔR 0.00 0.00 0.00
ND VS REGIONAL GENE EX. (MULTIVARIATE LIN. MOD.) End Timepoint Deposition Analysis Using Study Selected
Regions Left
End Timepoint Deposition
Connectivity T-Stat −0.20 6.92***
Baseline Deposition T-Stat 1.73 1.83
Summed Specific Gene Ex. T-Stat 2.41* Analysis Using
All 426 ABA Regions Right
1.65
Summed Noradren. Gene Ex. T-Stat 1.05 3.96***
  1. The entries under the “Bivariate Correlations” row correspond to the ΔR obtained from running the ND model from the baseline pathology measurement as this dataset [17] had no exogenous 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. Merged row (in the bivariate analyses section) and column separators (in the multivariate linear model section) denote which statistics correspond to analyses run restricted to only study selected regions or run using all 426 ABA brain regions. For T-Stats: *** p < 0.001, ** p < 0.01, * p < 0.05