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. 2013 Oct 23;33(43):16874–16888. doi: 10.1523/JNEUROSCI.4654-12.2013

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.