Fig. 4: Associations between sex differences in sensory-association (S-A) axis and sex differences in cortical morphometry. | Nature Communications

Fig. 4: Associations between sex differences in sensory-association (S-A) axis and sex differences in cortical morphometry.

From: Sex differences in functional cortical organization reflect differences in network topology rather than cortical morphometry

Fig. 4

A Unthresholded β-map of linear mixed effect model (LMM) testing for sex by total surface area interaction effects on S-A axis (there were no statistically significant sex by total surface area interaction effects after false discovery rate (FDR) correction (q < 0.05)); B Unthresholded β-map of LMM testing for sex by MPC axis interaction effects on S-A axis (there were no statistically significant sex by MPC axis interaction effects after FDR correction); C Unthresholded β-map of LMM testing for sex by mean geodesic distance interaction effects on S-A axis (35 cortical areas showed statistically significant sex by mean geodesic distance interaction effects after FDR correction and are delineated in black); D Scatterplot displaying the spatial correlation between patterns of sex differences (β-maps) in S-A axis loadings and in MPC axis loadings (color-coded by Yeo network), tested by a two-sided Spearman correlation and corrected for spatial autocorrelation, r = −0.05, pspin = 0.398. Error band displays 95% confidence interval; E Scatterplot displaying the spatial correlation between patterns of sex differences (β-maps) in S-A axis loadings and in the mean geodesic distance of connectivity profiles (color-coded by Yeo network), tested by a two-sided Spearman correlation and corrected for spatial autocorrelation, r = −0.07, pspin = 0.326. Error band displays 95% confidence interval. β standardized beta coefficient. Source data are provided as a Source Data file.

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