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. 2018 Apr 23;12:152. doi: 10.3389/fnhum.2018.00152

Table 2.

Gray matter differences between CD group and HC group by VBM analysis.

Region (hemisphere) Cluster size (voxels) MNI coordinates
Peak t-value Regional volume (Mean ± SD)
Feature weight (Mean ±SD)
X Y Z CD (mm3) HCs (mm3)
CD > HCs
Medial frontal gyrus/anterior cingulate(L) 9392 -2 51 7 5.1 11515.8 ± 1314.4 10317.4 ± 1330.0 0.5 ± 0.1
Precuneus(L) 1666 -44 -75 37 4.3 2093.0 ± 438.4 1761.7 ± 486.6 0.2 ± 0.1
Superior parietal lobule(L) 478 -32 -64 63 3.8 245.8 ± 57.0 205.3 ± 60.3 0.4 ± 1.8
Superior frontal gyrus(R) 318 21 62 -26 3.8 221.1 ± 56.0 187.1 ± 46.6 0.6 ± 1.6
Subthalamic nucleus(R) 375 6 -16 -14 4.3 155.4 ± 32.5 135.3 ± 18.6 2.0 ± 1.8
CD < HCs
Cerebellum posterior lobe(R) 210 15 -39 -51 -3.9 166.3 ± 26.0 184.6 ± 25.7 -2.6 ± 1.7
Inferior parietal lobule/insula(R) 1088 56 -18 22 -4.7 1618.2 ± 275.3 1870.7 ± 388.1 -2.3 ± 0.4
Lingual gyrus(R) 71 5 -94 -18 -3.6 32.0 ± 13.1 41.4 ± 15.6 -1.7 ± 1.6

CD, conduct disorder; HCs, healthy controls; L, left hemisphere; R, right hemisphere; MNI, Montreal Neurological Institute; SD, standard deviation. The volume of each cluster was calculated by multiplying the voxel size of smoothed GM images by the sum of all the values of the voxels in this cluster. In SVM with linear kernel, the importance of a feature is represented by its weight, which is the coefficient in the training model. The absolute value of weight represents the importance of the feature and the direction represents the predicted label.