Statistics for the data shown in Figures 1-Figures 3
| Figure | Statistical test | Statistics output | N |
|---|---|---|---|
| Fig. 1A,B | WIN: 10 neurons, 4 mice, DMSO: 21 neurons, 7 mice | ||
| mGPSC frequency: DMSO × WIN | ANOVA | F(1,28) = 14.704, p = 0.001 | |
| mGPSC amplitude: DMSO × WIN | ANOVA | F(1,29) = 0.598, p = 0.445 | |
| Fig. 1D | AM251: 5 neurons, 3 mice | ||
| mGPSC frequency: DMSO × AM251 | ANOVA | F(1,30) = 1.153, p = 0.292 | |
| mGPSC amplitude: DMSO × AM251 | ANOVA | F(1,30) = 2.975, p = 0.095 | |
| mGPSC frequency: AM251 × AM251 + WIN | Repeated measures ANOVA | F(2,8) = 1.719, p = 0.239 | |
| Fig. 1F | FC: 8 neurons, 3 mice | ||
| mGPSC frequency: DMSO × FC | ANOVA | F(1,28) = 3.52, p = 0.071 | |
| Fig. 3A,B,E,F | WIN: 4 mice, 6 slices, 38 soma (s), 194 non-soma (ns) | ||
| Increase magnitude: treatment (WIN/DMSO) × ROI (s/ns) | Kruskal–Wallis | H(3) = 169.052, p < 0.001 | DMSO: 3 mice, 4 slices, 70 s, 86 ns |
| Increase magnitude DMSO: s × ns | Median post hoc | p = 1 | |
| Increase magnitude WIN: s × ns | Median post hoc | p = 1 | |
| Increase magnitude (both s and ns): DMSO × WIN | Median post hoc | p < 0.001 | |
| Decrease magnitude: treatment (WIN/DMSO) × ROI (s/ns) | Kruskal–Wallis | H(3) = 60.729, p < 0.001 | |
| Decrease magnitude DMSO: s × ns | Median post hoc | p = 1 | |
| Decrease magnitude WIN: s × ns | Median post hoc | p = 1 | |
| Increase magnitude (both s and ns): DMSO × WIN | Median post hoc | p < 0.01 | |
| Fig. 3C,G | TTX + CNQX + WIN: 4 mice, 5 slices, 19 s, 93 ns | ||
| Increase magnitude: treatment (WIIN/ TTX + CNQX + WIN) × ROI (s/ns) | Kruskal–Wallis | H(3) = 13.35, p = 0.004 | |
| Increase magnitude ns: WIN × TTX + CNQX + WIN | Median post hoc | p = 0.017 | |
| Decrease magnitude: treatment (WIIN/ TTX + CNQX + WIN) × ROI (s/ns) | Kruskal–Wallis | H(3) = 2.213, p = 0.529 |