2.6. Data Analyses
The normal distribution of data was analyzed using the Kolmogorov–Smirnov normality test. First, comparisons among the groups (anodal tDCS, cathodal tDCS, and sham tDCS) at baseline were performed according to the demographic and clinical characteristics of the samples. The chi-square test was used for categorical variables, and the Kruskal–Wallis and one-way ANOVA tests were used for categorical variables.For the FMA-UE, repeated measurements for ANOVA 3 × 3 were calculated using the within-subject factor In addition, the number of patients who reached the minimal clinically important difference (mCID) of the FMA-UE was calculated at the end of 5 and 10 sessions. The assessment of patients’ mCID was considered as the minimum difference of five points obtained through FMA-UE for clinical improvement [All statistical analyses were performed using the statistical software IBM SPSS (Statistical Package for Social Sciences), version 23.0, UFPE, Recife, Brazil for Windows, with a significance level of 95% (