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. 2021 Jul 28;41(30):6388–6414. doi: 10.1523/JNEUROSCI.0373-21.2021

Table 7.

Statistical analysis for Figure 9

Set of data Type of statistical analysis Results of statistical analysis
A, pole test
Day 1 vs day 15 t test (Welch's-correction) t(10.08) = 3.161 p < 0.05
A, cylinder test
Day 1 vs day 15 t test t(20) = 3.657 p < 0.01
B, P-Thr34 D32/D32
Two-way ANOVA for subregion (1)
SKF effect Two-way ANOVA F(1,24) = 16.07 p < 0.001
6-OHDA effect Two-way ANOVA F(1,24) = 7.827 p = 0.0100
SKF-6-OHDA interaction Two-way ANOVA F(1,24) = 6.299 p = 0.0192
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p < 0.001
Two-way ANOVA for subregion (2-1)
SKF effect Two-way ANOVA F(1,22) = 18.28 p < 0.001
6-OHDA effect Two-way ANOVA F(1,22) = 3.859 p = 0.0619
SKF-6-OHDA interaction Two-way ANOVA F(1,22) = 4.129 p = 0.0527
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0147
Two-way ANOVA for subregion (2-2)
SKF effect Two-way ANOVA F(1,20) = 33.1 p < 0.001
6-OHDA effect Two-way ANOVA F(1,20) = 6.996 p = 0.0155
SKF-6-OHDA interaction Two-way ANOVA F(1,20) = 7.672 p = 0.0118
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0021
Two-way ANOVA for subregion (2-3)
SKF effect Two-way ANOVA F(1,21) = 20.19 p < 0.001
6-OHDA effect Two-way ANOVA F(1,21) = 10.39 p = 0.0041
SKF-6-OHDA interaction Two-way ANOVA F(1,21) = 6.634 p = 0.0176
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p < 0.001
Two-way ANOVA for subregion (4)
SKF effect Two-way ANOVA F(1,24) = 14.44 p < 0.001
6-OHDA effect Two-way ANOVA F(1,24) = 3.12 p = 0.0901
SKF-6-OHDA interaction Two-way ANOVA F(1,24) = 2.282 p = 0.1439
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0391
C, P-Ser845 GluA1/GluA1
Two-way ANOVA for subregion (1)
SKF effect Two-way ANOVA F(1,24) = 16.83 p < 0.001
6-OHDA effect Two-way ANOVA F(1,24) = 3.93 p = 0.0590
SKF-6-OHDA interaction Two-way ANOVA F(1,24) = 6.095 p = 0.0211
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0047
Two-way ANOVA for subregion (2-1)
SKF effect Two-way ANOVA F(1,22) = 40.51 p < 0.001
6-OHDA effect Two-way ANOVA F(1,22) = 6.325 p = 0.0197
SKF-6-OHDA interaction Two-way ANOVA F(1,22) = 8.508 p = 0.0080
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0012
Two-way ANOVA for subregion (2-2)
SKF effect Two-way ANOVA F(1,20) = 24.45 p < 0.001
6-OHDA effect Two-way ANOVA F(1,20) = 2.927 p = 0.1026
SKF-6-OHDA interaction Two-way ANOVA F(1,20) = 6.822 p = 0.0167
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0125
Two-way ANOVA for subregion (2-3)
SKF effect Two-way ANOVA F(1,21) = 23.25 p < 0.001
6-OHDA effect Two-way ANOVA F(1,21) = 5.841 p = 0.0248
SKF-6-OHDA interaction Two-way ANOVA F(1,21) = 8.255 p = 0.0091
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0020
D, P-Thr202/Tyr204 ERK2/ERK2
Two-way ANOVA for subregion (1)
SKF effect Two-way ANOVA F(1,24) = 29.83 p < 0.001
6-OHDA effect Two-way ANOVA F(1,24) = 4.401 p = 0.0558
SKF-6-OHDA interaction Two-way ANOVA F(1,24) = 8.406 p = 0.0079
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0020
Two-way ANOVA for subregion (2-2)
SKF effect Two-way ANOVA F(1,20) = 35.53 p < 0.001
6-OHDA effect Two-way ANOVA F(1,20) = 2.216 p = 0.1522
SKF-6-OHDA interaction Two-way ANOVA F(1,20) = 3.896 p = 0.0624
SKF: unlesioned side vs lesioned side Bonferroni post hoc test p = 0.0474