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

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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.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant Nos. 81471737, 81473603, 81571640, 81501543, 81401478, 81571751, and 81470816; and the Natural Science Foundation of Shaanxi Province of China under Grant Nos. 2017ZDJC-13.

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  1. Anmao Li and Junya Mu contributed equally to this work.

Authors and Affiliations

  1. Department of Medical Imaging, First Affiliated Hospital of Xi’an Jiaotong University, No. 277, West Yanta Road, Xi’an, 710061, Shaanxi-Province, People’s Republic of China

    Anmao Li & Ming Zhang

  2. Xi’an Children’s Hospital, Xi’an, 710061, People’s Republic of China

    Anmao Li, Mingxia Huang & Zengjun Zhang

  3. Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, 710126, People’s Republic of China

    Junya Mu & Jixin Liu

  4. Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, 710126, People’s Republic of China

    Junya Mu & Jixin Liu

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  1. Anmao Li
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  3. Mingxia Huang
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Anmao Li, Mingxia Huang, Zengjun Zhang, Junya Mu, Jixin Liu and Ming Zhang declare that they have no conflict of interest.

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Li, A., Mu, J., Huang, M. et al. Altered amygdala-related structural covariance and resting-state functional connectivity in end-stage renal disease patients. Metab Brain Dis 33, 1471–1481 (2018). https://doi.org/10.1007/s11011-018-0254-y

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