Additional file 1: of Sex differences in gray matter volume: how many and how large are they really?

Table S1. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the raw dataset). B. TIV-VOI linear regression analyses. Table S2. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the VBM8 “affine + non-linear” dataset. Table S3. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the VBM8- non-linear only TIV-adjusted dataset. B. TIV-VOI linear regression analyses. Table S4. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the proportions-adjusted dataset. Table S4. B. TIV-VOI linear regression analyses. Table S5. A. Sex and TIV contribution to local gray matter volumes as quantified by the covariate regression method. Table S6. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the power-corrected proportion (PCP) TIV-adjusted dataset B. TIV-VOI linear regression analyses. Table S7. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the residuals TIV-adjusted dataset. Table S8. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the TIV-matched subsample. Table S9. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the “only males” subsample. B. TIV-VOI linear regression analyses. Table S10. A. Descriptive statistics (mean and SD) and sex-based volumetric comparisons in the “only females” subsample B. TIV-VOI linear regression analyses. Additional file 1: Table S11. A. Replication score. B Cohen’s d averages (XLSX 554 kb)