Figure/statistical test | Number of mice (as appear in graph) | Factorial effects | Interaction effect | |||||
---|---|---|---|---|---|---|---|---|

Overall effects for Figure 1 | ||||||||

Factor “treatment” | ||||||||

1A | One-way ANOVA | n = 7, 7, 7, 6, 7, 7 | F_{(5,35)} = 4.10; | p = 0.005 | ||||

Factor “treatment” | Factor “CSDS phase” | Factor “treatment” × “CSDS phase” | ||||||

1B | Two-way RM ANOVA | n = 8, 6, 7 | F_{(2,19)} = 1.288; | p = 0.299 | F_{(2,38)} = 84.300; | p < 0.0001 | F_{(4,38)} = 2.737; | p = 0.043 |

Overall effects for Figure 2 | ||||||||

Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||

2A | Two-way ANOVA | n = 13, 13, 13, 14 | F_{(1,48)} = 3.333; | p = 0.074 | F_{(1,48)} = 5.134; | p = 0.028 | F_{(1,48)} = 1.742; | p = 0.193 |

2B | Two-way ANOVA | n = 16, 16, 17, 17 | F_{(1,62)} = 2.900; | p = 0.094 | F_{(1,62)} = 4.625; | p = 0.035 | F_{(1,62)} = 5.317; | p = 0.025 |

Factor “treatment” × “phase” | Factor “pretreatment” × “treatment” | Factor “pretreatment” × “treatment” × “phase” | ||||||

2C | Three-way RM ANOVA | n = 6, 6, 7, 6 | F_{(2,42)} = 2.316; | p = 0.111 | F_{(1,21)} = 6.452; | p = 0.019 | F_{(2,42)} = 3.278; | p = 0.048 |

Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||

2D | Two-way ANOVA | n = 8, 9, 9, 9 | F_{(1,31)} = 4.109; | p = 0.051 | F_{(1,31)} = 3.230; | p = 0.082 | F_{(1,31)} = 7.313; | p = 0.011 |

Factor “co-treatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||

2E | Two-way ANOVA | n = 7, 9, 8, 8 | F_{(1,28)} = 10.020; | p = 0.004 | F_{(1,28)} = 7.631; | p = 0.010 | F_{(1,28)} = 7.606; | p = 0.010 |

Overall effects for Figure 3 | ||||||||

Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||

3A | Two-way ANOVA | n = 8, 9, 8, 9 | F_{(1,30)} = 6.804; | p = 0.014 | F_{(1,30)} = 43.040; | p < 0.0001 | F_{(1,30)} = 6.202; | p = 0.019 |

3B | Two-way ANOVA | n = 8, 9, 9, 9 | F_{(1,31)} = 5.795; | p = 0.022 | F_{(1,31)} = 5.261; | p = 0.029 | F_{(1,31)} = 9.041; | p = 0.005 |

3C | Two-way ANOVA | n = 8, 8, 9, 8 | F_{(1,29)} = 6.209; | p = 0.019 | F_{(1,29)} = 3.499; | p = 0.072 | F_{(1,29)} = 6.077; | p = 0.020 |

3D | Two-way ANOVA | n = 11, 8, 11, 10 | F_{(1,36)} = 11.060; | p = 0.002 | F_{(1,36)} = 44.570; | p < 0.0001 | F_{(1,36)} = 19.760; | p < 0.0001 |

3E | Two-way ANOVA | n = 8, 10, 7, 10 | F_{(1,35)} = 5.753; | p = 0.022 | F_{(1,35)} = 6.958; | p = 0.012 | F_{(1,35)} = 3.737; | p = 0.061 |

3F | Two-way ANOVA | n = 8, 7, 10, 8 | F_{(1,29)} = 9.865; | p = 0.004 | F_{(1,29)} = 7.547; | p = 0.010 | F_{(1,29)} = 11.540; | p = 0.002 |

Overall effects for Figure 4 | ||||||||

Factor “treatment” | ||||||||

4A | One-way ANOVA | n = 8, 8, 8 | F_{(2,21)} = 15.28; | p < 0.0001 | ||||

Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||

4B | Two-way ANOVA | n = 8, 7, 7, 8 | F_{(1,26)} = 16.410; | p < 0.001 | F_{(1,26)} = 7.356; | p = 0.012 | F_{(1,26)} = 5.937; | p = 0.022 |

4D | Two-way ANOVA | n = 10, 10, 10, 10 | F_{(1,36)} = 4.468; | p = 0.042 | F_{(1,36)} = 1.963; | p = 0.170 | F_{(1,36)} = 3.944; | p = 0.054 |

4E | Two-way ANOVA | n = 10, 10, 10, 10 | F_{(1,36)} = 1.253; | p = 0.270 | F_{(1,36)} = 4.389; | p = 0.043 | F_{(1,36)} = 2.729; | p = 0.107 |

4H | Two-way ANOVA | n = 8, 5, 5, 6 | F_{(1,20)} = 11.630; | p = 0.003 | F_{(1,20)} = 4.616; | p = 0.044 | F_{(1,20)} = 6.246; | p = 0.021 |

Overall effects for Figure 5 | ||||||||

Factor “pretreatment” | Factor “treatment” | Factor “pretreatment” × “treatment” | ||||||

5A | Two-way ANOVA | n = 6, 7, 7, 7, 7, 7 | F_{(2,35)} = 1.320; | p = 0.280 | F_{(1,35)} = 7.287; | p = 0.011 | F_{(2,35)} = 4.796; | p = 0.014 |

Factor “treatment” | ||||||||

5B | One-way ANOVA | n = 6, 6, 6, 7, 7 | F_{(4,27)} = 2.469; | p = 0.069 | ||||

5C | One-way ANOVA | n = 8, 8, 8, 8, 8 | F_{(4,35)} = 2.469; | p = 0.088 | ||||

5D | One-way ANOVA | n = 9, 8, 8, 8, 7, 8 | F_{(5,42)} = 2.110; | p = 0.083 |