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. 2008 Feb 5;18(9):2132–2140. doi: 10.1093/cercor/bhm240

Table 1.

Voxelwise correlational analyses of the effect of COMT val158met genotype upon high gf − low gf neural activity

Brain regions Coordinatesa Z score Pb rc rpd
Spatial task
    Right DLPFC 42, 24, 27 3.62 P < 0.005 0.70 0.60
    ACC −9, 27, 21 3.43 P < 0.01 0.67 0.65
    Pre-SMA 9, 24, 42 3.32 P < 0.02 0.66 0.59
    Left IPS −33, −51, 33 3.04 P < 0.05 0.61 0.54
    Right IPS 39, −60, 33 3.27 P < 0.02 0.65 0.63
Verbal task
    Left DLPFC −36, 24, 18 2.70 P  = 0.065 0.56 0.52
    Right DLPFC 39, 27, 24 3.37 P < 0.02 0.66 0.64
    Left FO/AI −27, 15, 3 2.96 P < 0.05 0.60 0.55
    Right FO/AI 30, 18, 6 3.28 P < 0.02 0.65 0.69
    Pre-SMA −9, 18, 42 3.52 P < 0.01 0.69 0.37
    Left IPS −36, −45, 36 3.77 P < 0.005 0.72 0.69
    Right IPS 36, −57, 48 3.10 P < 0.05 0.62 0.59

Note: The number of COMT val alleles possessed (0–2) was correlated against high gf − low gf neural activity on a voxel by voxel basis within each ROI.

a

Correlation peak coordinates. Peaks are reported for each ROI where one or more voxels showed a significant or near significant (P < 0.1) correlation between number of COMT val alleles possessed and high gf − low gf neural activity after small volume correction for multiple comparisons.

b

P value after small volume correction.

c

Correlation at peak voxel.

d

Partial correlation at peak voxel after controlling for high gf behavioral performance (all reported partial correlations are significant at least at P < 0.05 uncorrected).