Table 3. Statistical Data Analyses (referred to in Figure 3 and Supplementary Figure 1).

Three-way repeated ANOVA
Effect	Significance
Day	F(6,476)=13.629, p<0.001
Treatment	F(3,476)=10.717, p<0.001
Treatment × stress	F(3,476)=11.895, p<0.001
Stress × day	F(6,476)=4.874, p<0.001

Two-way ANOVA
Day	Effect	Significance
0	Stress	F(1,68)=4.552, p<0.05
	Treatment × stress	F(3,68)=3.326, p<0.05
1	Stress	F(1,68)=4.049, p<0.05
	Treatment	F(3,68)=2.865, p<0.05
	Treatment × stress	F(3,68)=2.368, p=0.07
4	Stress	F(1,68)=5.736, p=0.01
	Treatment	F(3,68)=2.716, p=0.05
	Treatment × stress	F(3,68)=2.668, p=0.05
7	Stress	F(1,68)=13.325, p=0.001
	Treatment	F(3,68)=5.823, p=0.001
12	Treatment × stress	F(3,68)=3.307, p<0.05
21	Treatment	F(3,68)=2.359, p=0.07
24	Stress	F(1,68)=7.856, p<0.01
	Treatment	F(3,68)=4.177, p<0.01
	Treatment × stress	F(3,68)=2.552, p=0.06

Three-way and two-way ANOVA of results shown in Figure 3 and Supplementary Figure 1. For the three-way ANOVA, the effects of ‘day', ‘treatment', and ‘stress' (F and p values) are shown, and ‘day' is the repeated factor. For the two-way ANOVA, ‘day' refers to the time points when the Von Frey's filaments test was carried out. The effects of ‘stress', ‘treatment', and the ‘treatment × stress' interaction at each time point (F and p values) are shown, for simplicity, only when a statistical significance or a tendency to significance was found. Results were further analyzed by Bonferroni's post-hoc test to identify differences between group means. Statistical results from post-hoc analysis are shown as asterisks at the indicated time points in Figure 3 and Supplementary Figure 1.