Altered amygdala-related structural covariance and resting-state functional connectivity in end-stage renal disease patients
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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.
KeywordsEnd-stage renal disease Depressive mood Cognitive control Structural covariance Resting-state functional connectivity
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.
Compliance with ethical standards
Conflict of interest
Anmao Li, Mingxia Huang, Zengjun Zhang, Junya Mu, Jixin Liu and Ming Zhang declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
- Chen HJ, Wang YF, Qi R, Schoepf UJ, Varga-Szemes A, Ball BD, Zhang Z, Kong X, Wen J, Li X, Lu GM, Zhang LJ (2017) Altered amygdala resting-state functional connectivity in maintenance hemodialysis end-stage renal disease patients with depressive mood. Mol Neurobiol 54:2223–2233CrossRefPubMedGoogle Scholar
- Go AS, Yang J, Ackerson LM, Lepper K, Robbins S, Massie BM, Shlipak MG (2006) Hemoglobin level, chronic kidney disease, and the risks of death and hospitalization in adults with chronic heart failure: the Anemia in chronic heart failure: outcomes and resource utilization (ANCHOR) study. Circulation 113:2713–2723CrossRefPubMedGoogle Scholar
- Kurella TM, Larive B, Unruh ML, Stokes JB, Nissenson A, Mehta RL, Chertow GM, Frequent Hemodialysis Network Trial G (2010) Prevalence and correlates of cognitive impairment in hemodialysis patients: the frequent hemodialysis network trials. Clin J Am Soc Nephrol : CJASN 5:1429–1438CrossRefGoogle Scholar
- Palmer S, Vecchio M, Craig JC, Tonelli M, Johnson DW, Nicolucci A, Pellegrini F, Saglimbene V, Logroscino G, Fishbane S, Strippoli GF (2013) Prevalence of depression in chronic kidney disease: systematic review and meta-analysis of observational studies. Kidney Int 84:179–191CrossRefPubMedGoogle Scholar
- Satterthwaite TD, Elliott MA, Gerraty RT, Ruparel K, Loughead J, Calkins ME, Eickhoff SB, Hakonarson H, Gur RC, Gur RE, Wolf DH (2013) An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage 64:240–256CrossRefPubMedGoogle Scholar
- Sheikhbahaei S, Turovsky EA, Hosford PS, Hadjihambi A, Theparambil SM, Liu B, Marina N, Teschemacher AG, Kasparov S, Smith JC, Gourine AV (2018) Astrocytes modulate brainstem respiratory rhythm-generating circuits and determine exercise capacity. Nat Commun 9:370CrossRefPubMedPubMedCentralGoogle Scholar
- Soriano-Mas C, Harrison BJ, Pujol J, Lopez-Sola M, Hernandez-Ribas R, Alonso P, Contreras-Rodriguez O, Gimenez M, Blanco-Hinojo L, Ortiz H, Deus J, Menchon JM, Cardoner N (2013) Structural covariance of the neostriatum with regional gray matter volumes. Brain Struct Funct 218:697–709CrossRefPubMedGoogle Scholar
- Subira M, Cano M, de Wit SJ, Alonso P, Cardoner N, Hoexter MQ, Kwon JS, Nakamae T, Lochner C, Sato JR, Jung WH, Narumoto J, Stein DJ, Pujol J, Mataix-Cols D, Veltman DJ, OCDBI C, Menchon JM, van den Heuvel OA, Soriano-Mas C (2016) Structural covariance of neostriatal and limbic regions in patients with obsessive-compulsive disorder. J Psychiatry Neurosci : JPN 41:115–123CrossRefPubMedGoogle Scholar
- Yan C, Zang Y (2010) DPARSF: a MATLAB toolbox for "pipeline" data analysis of resting-state fMRI. Front Syst Neurosci 4:13Google Scholar
- Zheng G, Wen J, Zhang L, Zhong J, Liang X, Ke W, Kong X, Zhao T, He Y, Zuo X, Luo S, Zhang LJ, Lu GM (2014) Altered brain functional connectivity in hemodialysis patients with end-stage renal disease: a resting-state functional MR imaging study. Metab Brain Dis 29:777–786CrossRefPubMedGoogle Scholar