Altered amygdala-related structural covariance and resting-state functional connectivity in end-stage renal disease patients

Abstract

Depression and cognitive control deficits were frequently reported in concurrent end-stage renal disease (ESRD) patients. Neuroimaging studies indicated depression could be a risk factor for cognitive control deficits, and amygdala-related circuitry may play a critical role in this abnormal interaction. To investigate the potential relationship between depressive symptoms and cognitive control reduction in ESRD patients, T1-weighted and resting fMRI images were obtained in 29 ESRD patients and 29 healthy controls. Voxel-based morphometry (VBM), structural covariance (SC) analysis based on grey matter volume (GMV), and functional connectivity (FC) analysis were adopted. All subjects performed the Beck Depression Inventory (BDI) assessment and Stroop test. The patients also underwent blood biochemistry tests (urea, creatinine, phosphate, Ca2⁺, hematocrit, cystatin, hemoglobin). Compared with controls, GMV reductions were found mainly in the anterior cingulate cortex (ACC) and bilateral amygdala, and decreased SC was found between the amygdala and ACC in ESRD patients. This indicated that structural changes in the amygdala may be related to the GMV alterations in the ACC. Additionally, decreased FC between the amygdala and ACC was revealed in ESRD patients. Negative correlation was found between the FC of the amygdala-ACC and reaction delay during the Stroop test, but this correlation disappeared after controlling BDI. Stepwise regression analysis showed that the low level of hemoglobin was contributed to the reduced FC of the amygdala-ACC in ESRD patients. Our results demonstrated the abnormal interaction between depressive mood and cognitive control deficits in ESRD patients.

Keywords: Cognitive control; Depressive mood; End-stage renal disease; Resting-state functional connectivity; Structural covariance.