For the studies with multiple statistical significance comparisons (post hoc), "0.05/comparison number" was used.
Statistical significance comparisons between multiple samples were calculated using a 1-way ANOVA using the Dunnett's post-test.
We acknowledge that we carried out multiple significance tests (30); with 30 comparisons at the 5% level of significance, two of the significant findings may be false positive.
Significance of multiple comparisons was adjusted by the Bonferroni correction.
The analysis generated a raw (unadjusted for multiple comparisons) significance map showing raw p-values exceeding 0.05 across the surface.
For multiple comparisons, significance was determined by one-way analysis of variance followed by a post hoc comparison using Tukey significant difference method.
Significance between multiple comparisons was evaluated by one-way ANOVA.
For multiple comparisons, significance levels were adjusted by sequential Bonferroni corrections (Holm 1979).
Due to multiple comparisons, significance was considered when p < 0.01 [ 24- 26].
For multiple comparisons, significance was assessed by using a Bonferroni correction.
