Results are expressed as mean and standard deviation (normally distributed variables) or median and range (non-normal distribution). Normality of data distribution was analyzed using Shapiro-Wilk's W-test. In data sets that were not normally distributed non-parametric analysis (Mann-Whitney and Spearman correlations) was used. A general stepwise linear regression model was used to evaluate group differences and identify covariates (age, brain pH and postmortem interval). Student's t-test was used to assess differences between groups when no covariates were found. Variables with a significant association with group were included in the final statistical model as covariates. Pearsons correlation analysis was performed to determine the association between different variables. Slopes in the correlation equation were compared with a multiple regression model. Differences in the number of up-, down-regulated and control genes containing TFBS were evaluated with Chi-Square test. Significance was set at P<0.05 and trends considered for P<0.10. Statistical analysis was carried out using the Statistica 6.0 package (StatSoft Scandinavia, Uppsala, Sweden).
