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

Table 3 Significant features for differentiating StD patients from HC subjects

Hemisphere	Brain region	Type of features	Detailed features	Significance (z score)
R	Superior temporal	Convexity	Kurtosis	0.0255
R	Middle temporal	Local thickness	Skew	0.0227
L	Anterior cingulate	Local thickness	Kurtosis	0.0221
L	Amygdala	Mean curvature	Kurtosis	0.0185
L	Cuneus	Local thickness	Mean	0.0131
L	Medial orbitofrontal	Mean curvature	Skew	0.0121
L	Cerebellar vermis	Convexity	Mean	0.0091
L	Hippocampus	Mean curvature	Skew	0.0090

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

ISSN: 1471-2342