Fig 1.
SC signals were obtained across five phases. Each phase had a duration of 5-min.
Fig 2.
Decomposition of the SC signal.
The SC signal (top black line) was decomposed into SCL (tonic component, blue) and SCR (phasic component, yellow) using the cvxEDA model. SC features were calculated from the final 60-s period of the baseline phase (P1), the first 60-s period of the MAT task (P2), and the final 60-s periods of the first recovery (P3), relaxation task (P4), and the second recovery (P5) phases, respectively.
Table 1.
Demographic and clinical characteristics of subjects.
Table 2.
Mean (SD) values of the SC features of the MDD patients and the healthy controls during P1-P5.
Fig 3.
Mean ± SE of (A) MSCL, (B) SDSCL, (C) SSCL, (D) MSCR, (E) NSCR, and (F) PSD. Effects of group and task on the (A)-(F) features of the MDD patients (N = 30) and the healthy controls (N = 31) were analyzed using the non-parametric equivalent of a repeated-measures ANOVA (#p < 0.05). Post-hoc comparisons of tasks were corrected using the Bonferroni method (*p < 0.05, **p < 0.01, ***p < 0.001).
Table 3.
Effects of group and task on SC features.
Statistical analyses were performed using the non-parametric equivalent of a repeated-measures ANOVA through the R statistics package “nparLD.”. Group was used as the between-subjects factor and task as the within-subject factor (*p < 0.05, ***p < 0.001).
Table 4.
Post-hoc pairwise comparisons.
Post-hoc pairwise comparisons between tasks were corrected using the Bonferroni method (*p < 0.05, **p < 0.01, ***p < 0.001).
Table 5.
Performance measures of the SVM classifier based on input features.