Skip to main content
. 2014 Oct 15;8:806. doi: 10.3389/fnhum.2014.00806

Table 4.

Univariate and multivariate analysis of variance on magnetic resonance data.

MR variables (*) TD children LS-mean [95% CL] BIF children LS-mean [95% CL] R-square p-value
LPC-ROI1 –0.27 [–0.79; 0.024] 0.29 [–0.24; 0.83] 0.0893 0.1300
LSM1-ROI2 –0.56 [–0.99; –0.13] 0.61 [0.16; 1.05] 0.3765 0.0007
RPTC-ROI3 –0.69 [–1.05; –0.32] 0.74 [0.37; 1.12] 0.5638 <0.0001
RSM1-ROI4 –0.64 [–1.03; –0.25] 0.69 [0.28; 1.09] 0.4844 <0.0001
RMOC-ROI5 –0.01 [–0.55; 0.53] 0.01 [–0.55; 0.58] 0.0001 0.9550
LMOC-ROI6 0.17 [–0.37; 0.70] –0.18 [–0.74; 0.38] 0.0330 0.3647
RPH-ROI7 0.50 [0.04; 0.95] –0.54 [–1.01; –0.06] 0.2938 0.0035

MANOVA Results Wilk’s λ F-statistic Degrees of freedom p-value
0.173 12.94 7 <0.0001

(*) Blom’s normit score of MR (magnetic resonance) variables; ROI, region of interest; LPC, left posterior cinguate; LSM1, left sensorimotor cortex; RPTC, right posterior temporal cortex; RSM1, right sensorimotor cortex; RMOC, right middle occipital cortex; LMOC, left middle occipital cortex; RPH, right parahippocampal gyrus.