Table 2.
ANOVA for treatment effects on laminar distribution
All layers (bins 1–10) |
Superficial layers (bins 1–5) |
Deep layers (bins 6–10) |
||||
---|---|---|---|---|---|---|
p value | F [DFn, DFd] | p value | F [DFn, DFd] | p value | F [DFn, DFd] | |
DAPI | ||||||
Treat | 1.000 | 0.00 [1, 80] | 0.616 | 0.26 [1, 40] | 0.630 | 0.24 [1, 40] |
Inter | 0.299 | 1.21 [9, 80] | 0.767 | 0.46 [4, 40] | 0.101 | 2.08 [4, 40] |
IdU | ||||||
Treat | 1.000 | 0.00 [1, 80] | <0.001 | 16.03 [1, 40] | 0.002 | 11.55 [1, 40] |
Inter | <0.001 | 8.76 [9, 80] | <0.001 | 9.43 [4, 40] | 0.007 | 4.38 [4, 40] |
CldU | ||||||
Treat | 1.000 | 0.00 [1, 80] | 0.017 | 6.22 [1, 40] | 0.001 | 14.55 [1, 40] |
Inter | <0.001 | 4.55 [9, 80] | 0.011 | 3.79 [4, 40] | 0.449 | 0.94 [4, 40] |
Two-way ANOVA for treatment effects (Treat) or interaction between treatment and bin (Inter) on the fraction of total cells in each laminar bin. Significance was calculated across all bins or calculated separately for the subset of five bins located in superficial or deep layers of the cortex. Values that reach a statistical significance of p < 0.05 are underlined.