Statistical analyses for the data in Figures 1–5
| Data structure | Type of test | Statistic | p-value | |
|---|---|---|---|---|
| Figure 1A | Normal distribution | Three-way RM ANOVA | ||
| Time | F(3.347, 147.3) = 283.8 | p < 0.001 | ||
| (Female vs male) | F(1, 44) = 2.288 | p = 0.14 | ||
| (WT vs BCL) | F(1, 44) = 17.15 | p < 0.001 | ||
| Time × (female vs male) | F(5, 220) = 1.081 | p = 0.37 | ||
| Time × (WT vs BCL) | F(5, 220) = 3.895 | p = 0.002 | ||
| (Female vs male) × (WT vs BCL) | F(1, 44) = 2.454 | p = 0.12 | ||
| Time × (female vs male) × (WT vs BCL) | F(5, 220) = 1.172 | p = 0.32 | ||
| Figure 1B | Normal distribution | Three-way RM ANOVA | ||
| Time | F(4.139, 182.1) = 4.579 | p = 0.001 | ||
| (Female vs male) | F(1, 44) = 0.08293 | p = 0.77 | ||
| (WT vs BCL) | F(1, 44) = 1.423 | p = 0.24 | ||
| Time × (female vs male) | F(5, 220) = 0.8589 | p = 0.51 | ||
| Time × (WT vs BCL) | F(5, 220) = 0.6759 | p = 0.64 | ||
| (Female vs male) × (WT vs BCL) | F(1, 44) = 0.1692 | p = 0.68 | ||
| Time × (female vs male) × (WT vs BCL) | F(5, 220) = 0.1891 | p = 0.97 | ||
| Figure 1C | Normal distribution | Three-way RM ANOVA | ||
| Time | F(5, 220) = 4.380 | p < 0.001 | ||
| (Female vs male) | F(1, 44) = 0.01810 | p = 0.89 | ||
| (WT vs BCL) | F(1, 44) = 0.05027 | p = 0.82 | ||
| Time × (female vs male) | F(5, 220) = 1.053 | p = 0.39 | ||
| Time × (WT vs BCL) | F(5, 220) = 0.1713 | p = 0.97 | ||
| (Female vs male) × (WT vs BCL) | F(1, 44) = 2.059 | p = 0.16 | ||
| Time × (female vs male) × (WT vs BCL) | F(5, 220) = 1.059 | p = 0.38 | ||
| Figure 1D,E | Normal distribution | Three-way RM ANOVA | ||
| Time | F(4, 176) = 55.66 | p < 0.001 | ||
| (Female vs male) | F(1, 44) = 0.1896 | p = 0.67 | ||
| (WT vs BCL) | F(1, 44) = 37.92 | p < 0.001 | ||
| Time × (female vs male) | F(4, 176) = 1.207 | p = 0.31 | ||
| Time × (WT vs BCL) | F(4, 176) = 0.2075 | p = 0.93 | ||
| (Female vs male) × (WT vs BCL) | F(1, 44) = 8.123 | p = 0.007 | ||
| Time × (female vs male) × (WT vs BCL) | F(4, 176) = 0.2403 | p = 0.92 | ||
| Figure 1F | Normal distribution | One-way ANOVA | F(3, 76) = 3.746 | p = 0.01 |
| Figure 2A | Normal distribution | Three-way RM ANOVA | ||
| Sex | F(1, 90) = 18.70 | p < 0.001 | ||
| (WT vs BCL2) | F(1, 90) = 1.734 | p = 0.191 | ||
| (Sham vs SNI) | F(1, 90) = 0.07338 | p = 0.787 | ||
| Sex × (WT vs BCL2) | F(1, 90) = 7.799 | p = 0.006 | ||
| Sex × (sham vs SNI) | F(1, 90) = 0.6937 | p = 0.407 | ||
| (WT vs BCL2) × (sham vs SNI) | F(1, 90) = 0.2768 | p = 0.600 | ||
| Sex × (WT vs BCL2) × (sham vs SNI) | F(1, 90) = 0.01009 | p = 0.920 | ||
| Figure 2B | Normal distribution | Three-way RM ANOVA | ||
| Sex | F(1, 96) = 1.457 | p = 0.230 | ||
| (WT vs BCL2) | F(1, 96) = 3.684 | p = 0.058 | ||
| (Sham vs SNI) | F(1, 96) = 135.6 | p < 0.001 | ||
| Sex × (WT vs BCL2) | F(1, 96) = 5.630 | p = 0.020 | ||
| Sex × (sham vs SNI) | F(1, 96) = 0.03694 | p = 0.848 | ||
| (WT vs BCL2) × (sham vs SNI) | F(1, 96) = 1.294 | p = 0.258 | ||
| Sex × (WT vs BCL2) × (sham vs SNI) | F(1, 96) = 0.4683 | p = 0.495 | ||
| Figure 3A | Normal distribution | Three-way ANOVA | ||
| Sex | F(1, 79) = 3.007 | p = 0.087 | ||
| (WT vs BCL2) | F(1, 79) = 8.180 | p = 0.005 | ||
| (Sham vs SNI) | F(1, 79) = 23.96 | p < 0.001 | ||
| Sex × (WT vs BCL2) | F(1, 79) = 1.719 | p = 0.194 | ||
| Sex × (sham vs SNI) | F(1, 79) = 0.04524 | p = 0.832 | ||
| (WT vs BCL2) × (sham vs SNI) | F(1, 79) = 0.1233 | p = 0.726 | ||
| Sex × (WT vs BCL2) × (sham vs SNI) | F(1, 79) = 2.325 | p = 0.131 | ||
| Figure 3B | Normal distribution | Three-way ANOVA | ||
| Sex | F(1, 79) = 206.0 | p < 0.001 | ||
| (WT vs BCL2) | F(1, 79) = 33.22 | p < 0.001 | ||
| (Sham vs SNI) | F(1, 79) = 2.709 | p = 0.104 | ||
| Sex × (WT vs BCL2) | F(1, 79) = 12.23 | p < 0.001 | ||
| Sex × (sham vs SNI) | F(1, 79) = 6.929 | p = 0.010 | ||
| (WT vs BCL2) × (sham vs SNI) | F(1, 79) = 2.733 | p = 0.102 | ||
| Sex × (WT vs BCL2) × (sham vs SNI) | F(1, 79) = 0.2839 | p = 0.596 | ||
| Figure 4A | Normal distribution | Three-way ANOVA | ||
| Sex | F(1, 81) = 4.726 | p = 0.033 | ||
| (WT vs BCL2) | F(1, 81) = 0.4593 | p = 0.500 | ||
| (Sham vs SNI) | F(1, 81) = 11.41 | p = 0.001 | ||
| Sex × (WT vs BCL2) | F(1, 81) = 0.9078 | p = 0.344 | ||
| Sex × (sham vs SNI) | F(1, 81) = 0.6091 | p = 0.437 | ||
| (WT vs BCL2) × (sham vs SNI) | F(1, 81) = 6.308 | p = 0.014 | ||
| Sex × (WT vs BCL2) × (sham vs SNI) | F(1, 81) = 0.1998 | p = 0.656 | ||
| Figure 4B | Normal distribution | Three-way ANOVA | ||
| Sex | F(1, 81) = 15.31 | p < 0.001 | ||
| (WT vs BCL2) | F(1, 81) = 0.4593 | p = 0.500 | ||
| (Sham vs SNI) | F(1, 81) = 0.4492 | p = 0.505 | ||
| Sex × (WT vs BCL2) | F(1, 81) = 0.6998 | p = 0.405 | ||
| Sex × (sham vs SNI) | F(1, 81) = 1.336 | p = 0.251 | ||
| (WT vs BCL2) × (sham vs SNI) | F(1, 81) = 0.5748 | p = 0.451 | ||
| Sex × (WT vs BCL2) × (sham vs SNI) | F(1, 81) = 0.03412 | p = 0.854 | ||
| Figure 5 | Normal distribution | Three-way ANOVA | ||
| Sex | F(1, 35) = 4.067 | p = 0.051 | ||
| (WT vs BCL2) | F(1, 35) = 0.06186 | p = 0.805 | ||
| (Sham vs SNI) | F(1, 35) = 0.3581 | p = 0.553 | ||
| Sex × (WT vs BCL2) | F(1, 35) = 3.708 | p = 0.062 | ||
| Sex × (sham vs SNI) | F(1, 35) = 3.467 | p = 0.071 | ||
| (WT vs BCL2) × (sham vs SNI) | F(1, 35) = 0.1879 | p = 0.667 | ||
| Sex × (WT vs BCL2) × (sham vs SNI) | F(1, 35) = 4.557 | p = 0.040 |