Table 1.
Statistical overview.
| Figure | Type of statistic | Type of test | Test statistic | P value | Effect size | Power | |
|---|---|---|---|---|---|---|---|
| a | S1a | Parametric | One-way ANOVA | F(2,26) = 0.406 | p = 0.670 | f = 0.176 | 0.115 |
| b | 1c | Parametric | One-way ANOVA and post-hoc (LSD) | F(2,26) = 3.713 | p = 0.038 | f = 0.463 | 0.548 |
| Rat vs water | – | p = 0.011 | d = 1.147 | – | |||
| Rat vs urine | – | p = 0.197 | d = 0.604 | ||||
| Urine vs. water | – | p = 0.195 | d = 0.663 | – | |||
| c | 1e | Parametric | One-way ANOVA and post-hoc (LSD) | F(2,26) = 3.586 | p = 0.042 | f = 0.525 | 0.663 |
| Rat vs water | – | p = 0.025 | d = 1.117 | – | |||
| Rat vs urine | – | p = 0.034 | d = 0.824 | ||||
| Urine vs. water | – | p = 0.949 | d = 0.232 | – | |||
| d | S1c | Parametric | One-way ANOVA | F(2,24) = 0.633 | p = 0.539 | f = 0.229 | 0.156 |
| e | S1d | Parametric | One-way ANOVA | F(2,24) = 0.746 | p = 0.485 | f = 0.237 | 0.164 |
| f | S1e | Parametric | One-way ANOVA | F(2,24) = 1.952 | p = 0.164 | f = 0.403 | 0.404 |
| g | 2c | Non-parametric | Related samples Wilcoxon test | W(8)=0; z = −2.521 | p = 0.012 | r = 0.891 | 0.995 |
| h | 2e | Non-parametric | Related samples Wilcoxon test | W(9)=1; z = −2.547 | p = 0.011 | r = 0.849 | 0.984 |
| i | 2 g | Non- parametric | Related samples Wilcoxon test | W(20)=0; z = −3.920 | p < 0.001 | r = 0.876 | 1.000 |
| j | 2 h | Non-parametric | Mann–Whitney-U test | z = −4.652 | p < 0.001 | r = 0.736 | 1.000 |
| k | 2i | Non-parametric | Kruskal–Wallis and post-hoc (Bonferroni) | H = 17.439, df=2 | p < 0.001 | – | – |
| 5-HT vs NA | z = 0.003 | p = 1.000 | r = 0.001 | 0.050 | |||
| ACh vs 5-HAT | z = −3.433 | p = 0.003 | r = 0.649 | 0.991 | |||
| ACh vs NA | z = −3.291 | p = 0.002 | r = 0.611 | 0.980 | |||
| l | S2a | Parametric | (4) × (2) mixed model ANOVA (intensity [within-subject] × treatment [within-subject]) | F(3, 54) = 23.12 | p < 0.001 | f = 1.132 | 1.000 |
| F(1, 18) = 0.647 | p = 0.432 | f = 0.176 | 0.119 | ||||
| F(3,54) = 0.562 (interaction) | p = 0.604 | f = 0.255 | 0.158 | ||||
| m | S2b | Parametric | (4) × (2) mixed model ANOVA (intensity [within-subject] × treatment [within-subject]) | F(3, 54) = 52.19 | p < 0.001 | f = 1.705 | 1.000 |
| F(1, 18) = 3.228 | p = 0.089 | f = 0.423 | 0.398 | ||||
| F(3,54) = 6.346 (interaction) | p = 0.010 | f = 0.594 | 0.792 | ||||
| ACh vs. ACSF with 40 pA | – | p = 0.026 | d = 1.083 | – | |||
| n | 3b | Non-parametric | Related samples Wilcoxon test | W(5) = 0; z = −2.023 | p = 0.043 | r = 0.905 | 0.872 |
| o | 3d | Non-parametric | Related samples Wilcoxon test | W(5) = 0; z = 2.023 | p = 0.043 | r = 0.905 | 0.872 |
| p | – | Non-parametric | Mann–Whitney-U test | z = 3.121 | p = 0.002 | r = 0.716 | 0.988 |
| q | 3 g | Parametric | (2) × (2) mixed model ANOVA (location [within-subject] × treatment [within-subject]) | F(1,7) = 17.8 | p = 0.004 | f = 1.596 | 1.000 |
| F(1,7) = 1.98 | p = 0.203 | f = 0.531 | 1.000 | ||||
| F(1,7) = 0.014 (interaction) | p = 0.910 | f = 0.045 | 0.081 | ||||
| r | 3 g | Parametric | (2) × (2) mixed model ANOVA (stimulation [within-subject] × location [within-subject]) and post-hoc (Bonferroni) | F(1, 7) = 4.194 | p = 0.080 | f = 0.775 | 0.424 |
|
F(1, 7) = 7.446 F(1,7) = 15.01 (interaction) |
p = 0.029 p = 0.006 |
f = 1.030 f = 1.454 |
0.650 0.911 |
||||
| ON/soma vs. 50 Hz/soma | – | p = 0.014 | dz = 5.943 | – | |||
| ON/soma vs. ON/tuft | – | p = 0.002 | dz = 6.643 | – | |||
| s | S3c | Non-parametric | Mann–Whitney-U test | z = 0.936 | p = 0.456 | r = 0.209 | 0.148 |
| t | 4b | Non-parametric | Related samples Wilcoxon test | W(8) = 4; z = −0.420 | p = 0.327 | r = 0.148 | 0.065 |
| u | 4d | Non-parametric | Friedman test | χ2 = 3.714, df=2 | p = 0.156 | – | – |
| v | 4 f | Non-parametric | Related samples Wilcoxon test | W(6)=0; z = −2.201 | p = 0.028 | r = 0.984 | 1.000 |
| w | 4 h | Non-parametric | Friedman test and post-hoc (Dunn) | χ2 = 6.750, df=2 | p = 0.034 | – | – |
| Mecamylamine/ACh vs Mecamylamine | z = 2.250 | p = 0.024 | r = 0.795 | 0.868 | |||
| Mecamylamine/ACh vs ACSF | z = −2.250 | p = 0.024 | r = 0.795 | 0.868 | |||
| Mecamylamine vs ACSF | z = 0.000 | p = 1.000 | r = 0.000 | 0.050 | |||
| x | 5b | Parametric | One-way ANOVA | F(2,13) = 2.701 | p = 0.104 | f = 0.645 | 0.526 |
| y | 5c | Parametric | One-way ANOVA and post-hoc (LSD) | F(2,13) = 4.411 | p = 0.034 | f = 0.823 | 0.748 |
| Rat vs water | – | p = 0.113 | d = 0.918 | – | |||
| Rat vs urine | – | p = 0.011 | d = 1.826 | – | |||
| Urine vs. water | – | p = 0.255 | d = 0.933 | ||||
| z | 6d | Parametric | Paired samples t test | t(12) = −2.411 | p = 0.033 | dz = 0.709 | 0.651 |
| a1 | 6e | Parametric | Paired samples t test | t(13) = −1.231 | p = 0.240 | dz = 0.202 | 0.208 |
| b1 | 6 f | Parametric | Paired samples t test | t(13) = −2.420 | p = 0.031 | dz = 0.647 | 0.647 |
| c1 | 6 g | Non-parametric | Kruskal–Wallis Test | H = 0.915, df=2 | p = 0.633 | – | – |
| d1 | 6 h | Parametric | (4) × (3) mixed model ANOVA (time bin [within-subject] × treatment [between-subject]) | F(3,114) = 51.02 | p < 0.001 | f = 1.161 | 1.000 |
| F(2,38) = 0.599 | p = 0.355 | f = 0.244 | 0.301 | ||||
| F(6,114) = 1.509 (interaction) | p = 0.234 | f = 0.283 | 0.427 | ||||
| e1 | S4a | Non-parametric | Kruskal–Wallis Test | H = 0.341, df=2 | p = 0.843 | – | – |
| f1 | S4b | Parametric | (4) × (3) mixed model ANOVA (time bin [within-subject] × treatment [between-subject]) | F(3,114) = 82.09 | p < 0.001 | f = 1.147 | 1.000 |
| F(2,38) = 0.599 | p = 0.554 | f = 0.179 | 0.142 | ||||
| F(6,114) = 1.144 (interaction) | p = 0.224 | f = 0.274 | 0.456 |
Type of statistic was determined using the Kolmogorov- Smirnov test in SPSS. Tests were performed using SPSS. Effect sizes for parametric statistics were determined using SPSS and G*Power (Cohen’s d, dz, f). Effect sizes for non-parametric statistics were calculated from z-scores (Pearson’s r = ) [73]. Power (for α = 0.05) was determined using G*Power.