Figure 7.

Estimates of variability in subject-level systems are significantly affected by confound variables, but these variables explain a low percent of variance. (A) Multiple regressions reveal significant effects of 6 possible confound variables (columns) on patch size (top row) and the percent surface areas of region that were assigned to an alternate system identity (bottom row). Red indicates significance at P < 0.05 uncorrected; yellow indicates significance at P < 0.05 Bonferroni-corrected for multiple comparisons. Regressions were only calculated for a priori regions (group system patches in the top row; variable regions in the bottom row). (B) The percent of the total variance in the size of each patch (top) and the percent surface area assigned to an alternate system (bottom) explained by the confound variable regressions. The confound variables explained >10% of the total variance in only one region.