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Differences in behavioural data were tested with the non-parametric Wilcoxon Signed Ranks test.
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All variables (behavioural and ROI data) were tested for normality using the Kolmogorov Smirnoff test.
Data were tested for normal distribution applying Kolmogorov-Smirnov-test. Behavioural data were compared between groups using repeated measures ANOVAs with the between-subjects factor treatment (sgp130 i.a., sgp130 i.p., saline i.a., saline i.p).
Behavioural data were analysed using the Kolmogorov Smirnov test with the Benjamini and Hochberg method of correction for false discovery with multiple testing.
After testing that the data fit the assumptions of parametric statistics, body weight data were analysed using a repeated-measures ANOVA, followed by simple effects post-hoc tests, and behavioural data were analysed using multivariate ANOVAs.
All acquired behavioural data were analysed using a one way ANOVA test when applicable or the non-parametric Kruskal Wallis test.
Behavioural data were analysed using the Mann-Whitney U test to compare two groups of data; to compare more than two groups of data, the Kruskal-Wallis test, followed by Dunn's posttest, was used.
> -wrap-foot> When the behavioural data were entered into an unrotated PCA, all tests in the battery loaded heavily on the first unrotated factor, a factor that can be interpreted as reflecting each participant's overall aphasic severity.
Non-parametric testing was chosen, as behavioural data were not normally distributed (Supplementary Fig. 1).
In some instances, behavioural data were analysed using two-way ANOVA followed by Bonferroni's test as post hoc.
The behavioural data were analysed with two-way ANOVA followed by Tukey's post-hoc test.
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