Literature DB >> 32930417

Disrupted brain functional networks in patients with end-stage renal disease undergoing hemodialysis.

Baolin Wu1,2, Xuekun Li2, Meng Zhang2, Feifei Zhang1, Xipeng Long1,3, Qiyong Gong1,4, Zhiyun Jia1,3.   

Abstract

Patterns of change in whole-brain functional networks remain poorly understood in patients with end-stage renal disease (ESRD) undergoing hemodialysis (HD). We conducted a prospective research to investigate the topological properties of whole-brain functional networks in those patients using a graph-based network analysis. Resting-state functional magnetic resonance imaging was performed on 51 ESRD patients (25 HD and 26 nondialysis patients) and 36 healthy controls (HCs). We compared the topological properties of brain functional networks among the three groups, and analyzed the relationships between those significant parameters and clinical variables in ESRD patients. Progressively disrupted global topological organizations were observed from nondialysis patients to HD patients compared with HCs (all p < 0.05 after Bonferroni correction). HD patients, relative to HCs, showed significantly decreased nodal centralities in the left temporal pole: superior temporal gyrus, bilateral median cingulate and paracingulate gyri, bilateral hippocampus, bilateral parahippocampal gyrus, and bilateral amygdala, and showed increased nodal centralities in the orbital part of the bilateral middle frontal gyrus, left cuneus, and left superior occipital gyrus (all p < 0.05 after Bonferroni correction). Furthermore, nodal centralities in the bilateral hippocampus were significantly decreased in HD patients compared with nondialysis patients (p < 0.05 after Bonferroni correction). Dialysis duration negatively correlated with global efficiency in ESRD patients undergoing HD (r = -0.676, FDR q = 0.004). This study indicates that ESRD patients exhibit disruptions in brain functional networks, which are more severe in HD patients, and these alterations are correlated with cognitive performance and clinical markers.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  brain functional networks; cognitive impairment; end-stage renal disease; graph theoretical analysis; hemodialysis; resting-state functional magnetic resonance imaging

Year:  2020        PMID: 32930417     DOI: 10.1002/jnr.24725

Source DB:  PubMed          Journal:  J Neurosci Res        ISSN: 0360-4012            Impact factor:   4.164


  5 in total

1.  Aberrant Topological Properties of Brain Functional Network in Children with Obstructive Sleep Apnea Derived from Resting-State fMRI.

Authors:  Tingting Ji; Xuemin Ren; Ting Long; Xiaodan Li; Lin Mei; Wentong Ge; Jie Zhang; Shengcai Wang; Yongli Guo; Zhifei Xu; Yun Peng; Jiangang Liu; Jun Tai; Xin Ni
Journal:  Brain Topogr       Date:  2022-10-18       Impact factor: 4.275

2.  Abnormal Dynamic Functional Connectivity in Patients With End-Stage Renal Disease.

Authors:  Xuekun Li; Ruifang Yan; Zheng Yue; Meng Zhang; Jipeng Ren; Baolin Wu
Journal:  Front Neurosci       Date:  2022-05-20       Impact factor: 5.152

3.  Associations of the Disrupted Functional Brain Network and Cognitive Function in End-Stage Renal Disease Patients on Maintenance Hemodialysis: A Graph Theory-Based Study of Resting-State Functional Magnetic Resonance Imaging.

Authors:  Die Zhang; Yingying Chen; Hua Wu; Lin Lin; Qing Xie; Chen Chen; Li Jing; Jianlin Wu
Journal:  Front Hum Neurosci       Date:  2021-12-13       Impact factor: 3.169

4.  Aberrant brain gray matter and functional networks topology in end stage renal disease patients undergoing maintenance hemodialysis with cognitive impairment.

Authors:  Jiahui Zheng; Xiangxiang Wu; Jiankun Dai; Changjie Pan; Haifeng Shi; Tongqiang Liu; Zhuqing Jiao
Journal:  Front Neurosci       Date:  2022-08-10       Impact factor: 5.152

5.  Abnormal topological parameters in the default mode network in patients with impaired cognition undergoing maintenance hemodialysis.

Authors:  Chuanlong Cao; Die Zhang; Wanqing Liu
Journal:  Front Neurol       Date:  2022-08-18       Impact factor: 4.086

  5 in total

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