Figure 1.
Significant results of the ALE meta-analysis delineating the ISA network (A; taken from13) and volumes of interest (VOIs) used for the functional connectivity analysis in healthy controls and patients (B).
ACC: anterior cingulate cortex; AmyL: left Amygdala; dmPFC: dorsomedial prefrontal cortex; PrC: precuneus; SGC: subgenual cingulate cortex.
Table 1.
Activation peaks of ISA network (taken from13).
Table 2.
Activation peaks of control network (taken from18).
Table 3.
Group characteristics. SD: standard deviation; M: male; F: female; BDI: Beck Depression Inventory II, HRSD: Hamilton Rating Scale for Depression.
Table 4.
Medication data for all patients.
Figure 2.
Results of the resting state functional connectivity analysis in the control and patient group for ISA (left) and control network (right).
Bar plots depict measures of functional connectivity for patients (red) and controls (green) across the two different measurement sites (light colors: Aachen; dark colors: Goettingen).
Table 5.
Comparison of motion parameters across groups and sites. SD: standard deviation, DVARS: temporal derivative of timecourses (cf. Power et al. 2012), FD: framewise displacement (cf. van Dijck et al. 2012), RMS: variance over voxels (cf. Satterthwaite et al. 2013).
Figure 3.
Significant results of the comparison of functional connectivity between patient subgroups of short and long disease duration and early and late onset of illness.
Subgroups were defined each by a median split of the patient group with ≥5 years for long duration and ≥24 years of age for late disease onset. ACC: anterior cingulate cortex; AmyL: left amygdala; PrC: precuneus; SGC: subgenual cingulate cortex.