Decreased cortical thickness of left premotor cortex as a treatment predictor in major depressive disorder.

Abstract

This study aimed to examine the cerebral cortex characteristics (thickness, surface area, and curvature) in patients with major depressive disorder (MDD), and explore whether these cortex characteristics are predictors for the antidepressant therapeutic effect. 105 patients with MDD and 49 healthy controls (HCs) were recruited. Both groups were given magnetic resonance image (MRI) scans at baseline period, and then the cerebral cortex characteristics (thickness, surface area, and curvature) were calculated using the DPABISurf software. The Hamilton Depression Scale-24 (HAMD-24) reductive rate was used to measure antidepressant therapeutic effect and Snaith Hamilton Rating Scale (SHAPS) reduction was performed to assess the change of anhedonia after treatment of 8 weeks. Correlation analysis was performed to identify the relationship between cortex characteristics and antidepressant therapeutic effect in patients with MDD. There were no significant differences in the cortical curvature and surface area between MDD and HC groups, while significant decreases were found in the cortical thickness of inferior frontal cortex (IFC), premotor cortex (PMC), orbital and medial prefrontal cortex (OMPFC) in the left hemisphere of MDD group, comparing with HC group (P < 0.05 for all, corrected by threshold-free cluster enhancement). In MDD group, the cortical thickness of left PMC had significant positive correlations with 8-week HAMD-24 reduction (r = 0.228, P = 0.020) and HAMD-24 reductive rate (r = 0.193, P = 0.048); and a negative correlation with the 8-week SHAPS reduction (r = -0.240, P = 0.018). Decreased cortical thickness in left PMC may be a predictor of therapeutic effect in MDD. Determining the cortical thickness of this region before treatment can provide certain reference value for clinical antidepressant treatment.