Spss statistics software 19

All experimental data were analyzed using the SPSS Statistics software 19.0 (SPSS Inc., Chicago, IL, USA, 2006). Repeated measures analysis of variance (ANOVA) was used to compare the escape latency among groups. Other data were compared using one-way ANOVA. Data are presented as means ± SEM. A value of P ≤ 0.05 was considered significant.

All experiments were performed according to a completely randomized design with three replicates per treatment. The data were subjected to analysis of variance and Duncan’s new multiple range tests to test any significant differences between the means at 5% significance level. Data were evaluated with SPSS Statistics software 19.0 (Chicago, IL, USA).

All experimental data were analyzed using SPSS Statistics software 19.0 (SPSS Inc., Chicago, IL, USA, 2006). Repeated measures analysis of variance (ANOVA) was used to compare the escape latency among groups. Other data were compared using one-way ANOVA. Data are presented as the mean ± SEM. A value of P < 0.05 was considered significant.

In all figures, results are depicted as box and whiskers plots, showing medians, upper and lower quartiles, maximum and minimum. Outliers were marked as circles. Data in tables show median and quartiles. Statistical evaluation was performed using IBM SPSS Statistics software 19.0 (SPSS Inc., Chicago, USA). Groups were tested for normal distribution using Shapiro-Wilk test, and then compared by either Kruskall-Wallis and Dunn’s post-hoc test, or by one-way ANOVA and Fishers LSD post-hoc test. The level of significance was set at p≤ 0.05. We used at least 5 mice per group and time point. At some observation time points, additional animals were included, because we could not perform all analyses on the same tissue specimens due to technical reasons (e.g. histology vs. tissue homogenates). Because we evaluated all available tissues from those additional animals, the number of samples per evaluated parameter was sometimes higher. The sample numbers were indicated in tables and figures.

Group means and standard deviations were calculated for each parameter. Data were tested for normal distribution and statistically analyzed using one-way analysis of variance (one-way ANOVA). IBM SPSS Statistics software 19.0 (Statistical Package for the Social Sciences, SPSS) was used for all statistical analyses. P values of <0.05 were considered significant.

The data obtained are presented as means ± standard deviation (SD). Statistical analysis was performed using IBM SPSS statistics software 19.0 (IBM Inc., Armonk, NY, USA). One-way analysis of variance followed by Duncan’s multiple range test was used to determine statistical difference among the four groups. Probability values (p-values) less than 0.05 (p < 0.05) were considered as statistically significant.