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For all imaging analyses, the Monto Carlo simulation method was used throughout the entire brain to correct for multiple comparisons by AlphaSim program (corrected P < 0.01).
Dunn, O. J. Multiple comparisons among means.
One-way ANOVA with Bonferroni's multiple comparison tests were used for multiple comparisons between data.
Multiple comparisons among levels were checked with Tukey posthoc tests.
For multiple comparisons in in vivo, as was the case for comparison.
A significance criterion of 0.05 without correction for multiple comparisons was employed throughout.
The alpha level was set at 0.05 throughout (for multiple comparisons, Bonferoni's correction was utilized).
Significance level was set at 5% throughout (for pairwise multiple comparisons, Bonferoni's correction was utilized).
No adjustments were made for multiple comparisons, but we used 99% confidence intervals throughout and significance was set at P<0.01.
The criterion for statistical significance throughout was p≤0.01 to account for multiple comparisons.
Several tests were performed throughout the analyses, introducing a problem of multiple comparisons.
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