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Table 4 Significant features for differentiating between MDD and StD subjects

From: Gray and white matter structural examination for diagnosis of major depressive disorder and subthreshold depression in adolescents and young adults: a preliminary radiomics analysis

Hemisphere

Brain region

Type of features

Detailed features

Significance (z score)

L

Medial orbitofrontal

Local thickness

Mean

0.0253

R

Superior frontal

Mean curvature

Kurtosis

0.0231

R

Superior temporal

Mean curvature

Kurtosis

0.0178

L

Middle temporal

Local thickness

Skew

0.0125

R

Hippocampus

Mean curvature

Skew

0.0112

R

Anterior cingulate

Local thickness

Mean

0.0111

L

Cuneus

Local thickness

Mean

0.0108

  1. R, right; L, left. Type of features: cortical thickness, mean curvature, convexity, geodesic depth, travel depth, fractional anisotropy, axial diffusivity, radial and mean diffusivity. Detailed features: mean, standard deviation, skew and kurtosis