Figure 6.

The relationship between $\overline{\mathrm{gmCBF}}$ and OEF for (a) all subjects, (b) female subjects, and (c) male subjects. A strong correlation is observed in all three plots, suggesting that an individual with a higher $\overline{\mathrm{gmCBF}}$ tends to have a lower OEF (i.e. higher Y_v), thus simultaneous measurement of $\overline{\mathrm{gmCBF}}$ and OEF may allow a reduction in data variation. Again, the values used in these analyses have factored out the age and sex effects, by using the age/sex regression equation. Thus, they examine the residual variance across subjects.