Fig. 1A | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.1337, LL: p = 0.4334, SWM: p = 0.5985 |
Fig. 1B | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.0425, LL: p = 0.9257, SWM: p = 0.9609 |
Fig. 1C | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.0278, LL: p = 0.4931, SWM: p = 0.7801 |
Fig. 1D | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.2880, LL: p = 0.6393, SWM: p = 0.0240 |
Fig. 1E | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.9257, LL: p = 0.9397, SWM: p = 0.2848 |
Extended Data Fig. 1-1A | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.9265, LL: p = 0.5300, SWM: p = 0.4023 |
Extended Data Fig. 1-1B | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.8052, LL: p = 0.3294, SWM: p = 0.8217 |
Extended Data Fig. 1-1C | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.3699, LL: p = 0.9644, SWM: p = 0.9559 |
Extended Data Fig. 1-1D | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.3370, LL: p = 0.2271, SWM: p = 0.3900 |
Extended Data Fig. 1-1E | Non-normal distribution | Two-way ANOVA, uncorrected Fisher's LSD | UL: p = 0.7681, LL: p = 0.7659, SWM: p = 0.6875 |
Extended Data Fig. 1-2B | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.9428, female: p = 0.7868 |
Extended Data Fig. 1-2C | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.3033, female: p = 0.8720 |
Extended Data Fig. 1-2D | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.9960, female: p = 0.7304 |
Extended Data Fig. 1-2E | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.9940, female: p = 0.9212 |
Extended Data Fig. 1-2F | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.8677, female: p = 0.8035 |
Extended Data Fig. 1-3A | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.6754, female: p = 0.9993 |
Extended Data Fig. 1-3B | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.0497, female: p = 0.4501 |
Extended Data Fig. 1-3C | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.7528, female: p = 0.6561 |
Extended Data Fig. 1-3D | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.0412, female: p = 0.9986 |
Extended Data Fig. 1-3E | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.8936, female: p = 0.9142 |
Extended Data Fig. 1-3F | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | Male: p = 0.9886, female: p = 0.3146 |
| | | |
Fig. 2A | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer I: MIA+/CSH– p < 0.05, Layer II/III MIA+/CSH+ p < 0.05, PL: Layer I: MIA+/CSH– p < 0.05, Layer II/III MIA+/CSH+ p < 0.05 |
Fig. 2B | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer II/III: MIA+/CSH– p < 0.05, MIA–/CSH+ p < 0.05, MIA+/CSH+ p < 0.05, PL: Layer II/III: MIA+/CSH+ p < 0.05 |
Fig. 2C | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer I: MIA+/CSH– p < 0.05, MIA+/CSH+ p < 0.05, Layer II/III: MIA+/CSH+ p < 0.05, Layer V: MIA+/CSH+ p < 0.05, PL: Layer I: MIA+/CSH+ p < 0.05, Layer II/III: MIA+/CSH+ p < 0.05, Layer V: MIA+/CSH– p < 0.05 |
Fig. 2D | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer I: MIA+/CSH+ p < 0.05, Layer II/III: MIA+/CSH+ p < 0.05, PL: Layer I: MIA+/CSH– p < 0.05, MIA+/CSH+ p < 0.05, Layer II/III: MIA+/CSH– p < 0.05, MIA+/CSH+ p < 0.05, MIA+/CSH+ p < 0.05 |
Extended Data Fig. 2-1A | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer II/III: MIA+/CSH+ p < 0.05, PL: Layer II/III MIA+/CSH+ p < 0.05 |
Extended Data Fig. 2-1B | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer V MIA+/CSH– p < 0.05, MIA+/CSH+ p < 0.05, PL: Layer II/III: MIA+/CSH– p < 0.05, MIA+/CSH+ p < 0.05, Layer V: MIA+/CSH+ p < 0.05 |
Extended Data Fig. 2-1C | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer V MIA–/CSH+ p < 0.05, MIA+/CSH+ p < 0.05, PL: Layer V MIA–/CSH+ p < 0.05, MIA+/CSH+, Layer V I: MIA–/CSH+ p < 0.05 |
Extended Data Fig. 2-1D | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer V and Layer VI: MIA+/CSH– p < 0.05, MIA–/CSH+ p < 0.05, MIA+/CSH+ p < 0.05, PL: Layer II/III: MIA+/CSH– p < 0.05, MIA–/CSH+ p < 0.05, MIA+/CSH+ p < 0.05, Layer V: MIA+/CSH+ p < 0.05 |
Extended Data Fig. 2-1D | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ACC: Layer I: MIA–/CSH+ p < 0.05, PL: ns |
| | | |
Fig. 3A | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | MZ: p < 0.05, CP: p ≤ 0.05, SVZ/VZ p < 0.05 |
Fig. 3B | Non-normal distribution | Mann–Whitney | gad65+: p = 0.3333, ki67+: p = 0.0381, gad65+/ki67+: p = 0.0095 |
Fig. 3C | Non-normal distribution | Mann–Whitney | gad65+: p = 0.0012, brdu+: p < 0.001, gad65+/brdu+: p = 0.0012 |
Extended Data Fig. 3-1A | Non-normal distribution | Mann–Whitney | ns |
Extended Data Fig. 3-1B | Non-normal distribution | Mann–Whitney | ns |
Extended Data Fig. 3-1C | Non-normal distribution | Two-way ANOVA, Sidak's multiple comparisons | MZ: p = 0.714, CP: p = 0.04521, SVZ/VZ: p = 0.1657 |
Extended Data Fig. 3-2 | Non-normal distribution | Mann–Whitney | p = 0.0688 |
Extended Data Fig. 3-3B | Non-normal distribution | Mann–Whitney | p = 0.0047 |
Extended Data Fig. 3-3C | Non-normal distribution | Mann–Whitney | p = 0.0315 |
| | | |
Fig. 4A | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | gad65+: MIA+/CSH+ p < 0.05; |
Fig. 4B | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | gad65+: MIA+/CSH+ p < 0.05; gad65+/brdu+: MIA+/CSH+ p < 0.05 |
|
Fig. 5 | Non-normal distribution | Two-way ANOVA, Tukey's multiple comparisons | e17.5: MIA+/CSH– p < 0.001, P10: MIA+/CSH+ p < 0.05, P30: MIA+/CSH+ p < 0.05 |
| | | |
Fig. 6A | Non-normal distribution | Mann–Whitney | iba1+: p = 0.0067, cd68+: p = 0.0163 |
Fig. 6B | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | iba1+: ns, cd68+: MIA+/CSH+ p < 0.01 |
Fig. 6C | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | iba1+: ns, cd68+: ns |
| | | |
Fig. 7A | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | MIA+/CSH– p < 0.05, MIA+/CSH+ p < 0.001 |
Fig. 7B | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | MIA+/CSH+ p < 0.01 |
Fig. 7C | Normal distribution | Two-way ANOVA, Tukey's multiple comparisons | ns |
Fig. 7D | Normal distribution | Two-way ANOVA, Tukey's multiple comparisons | d2: MIA+/CSH+ p < 0.05, d3: MIA+/CSH+ p < 0.05 |
Fig. 7E | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | ns |
Fig. 7F | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | MIA+/CSH+ p < 0.05 |
Fig. 7G | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | MIA+/CSH– p < 0.05, MIA+/CSH+ p < 0.05 |
Extended Data Fig. 7-1A | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | ns |
Extended Data Fig. 7-1B | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | ns |
Extended Data Fig. 7-1C | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | ns |
Extended Data Fig. 7-1D | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | ns |
Extended Data Fig. 7-1E | Non-normal distribution | Kruskal–Wallis, Dunn's multiple comparisons | ns |
Extended Data Fig. 7-1F | Normal distribution | One-way ANOVA, Holm–Sidak's multiple comparisons | ns |