Table 3.

Regression equations between six features and HDRS scores.

Regression equation:	R-value	R 2-value	p value
SEn_Fp1 = −0.0003 ∗∗ HDRS score + 0.6636∗∗	−0.1284	0.0165	0.0009
SEn_Fz = −0.0001 ∗ HDRS score + 0.6616	−0.0364	0.0013	0.3484
SEn_Fp2 = −0.0002 ∗ HDRS score + 0.6630∗	−0.0990	0.0098	0.0107
LZC_Fp1 = 0.0002 ∗ HDRS score + 0.9242	0.0548	0.0030	0.1581
LZC_Fz = 0.0003 ∗ HDRS score + 0.9214∗∗	0.1067	0.0114	0.0059
LZC_Fp2 = 0.0002 ∗ HDRS score + 0.9234	0.0735	0.0054	0.0582

^∗∗Significant correlation with p < 0.01.^∗Significant correlation with p < 0.05.