statistical tables for Liu et al. A serotonin-modulated circuit controls sleep architecture to regulate cognitive function independent of total sleep in Drosophila

Published: 26-08-2019| Version 1 | DOI: 10.17632/3tf592t65v.1
Chang Liu,
Leslie C. Griffith


As described in the STAR Methods in the paper, all statistical analyses are available and presented in Tables organized in a way of the same type of analysis at Mendeley Data. For the convinience of readers, we repeat the description of statistical analysis befow: Statistical analyses for behavioral data were performed using GraphPad Prism 7. Datasets that did not have a normal distribution, nonparametric statistics (Kruskal-Wallis, followed by Dunn’s multiple comparisons test) was applied. Otherwise, a one-way ANOVA, followed by Holm-Sidak’s test was applied when datasets passed normality test. For experiments that had multiple variables, a two-way ANOVA was performed. Bonferroni multiple comparisons after two-way ANOVA were used for each analysis period (LP and DP), and were performed to determine which pairs were significantly different and if major effects are significantly different. Figs are all presented as mean ± SEM in a uniform style for clarity. Asterisk (*) always indicates a significant difference between the experimental group and both the control groups. The significance level of statistical tests was set to 0.05. Statistical analyses for functional imaging were performed using GraphPad Prism 7. In EPAC measurements, a two-way ANOVA was used to determine statistical significance among different dosages of 5HT or between the experimental groups and the control groups. In P2X2-GCamP6f experiments, a two-way ANOVA was used to determine statistical significance for treatments (before and after ATP perfusion) and subjects (experimental and control groups). Tukey’s multiple comparisons test was followed where a significance takes place in the ANOVA. Results are expressed as mean ± SEM. Datasets are marked with letters (a, b or c) for statistical equivalence groups; i.e., data that are significantly different are indicated by different letters. Significance level was set at 0.05. In GCaMP6f experiments with application of 5HT, a paired t-test was performed to determine the drug perfusion effects due to the fact that these datasets passed normality tests.