Static and Dynamic Characteristics of Functional Network Connectivity in Neurologically Asymptomatic Patients Undergoing Maintenance Hemodialysis: A Resting-State Functional MRI Study

被引：6

作者：

Zhang, Die ^{[1
,2
]}

Chen, Yingying ^{[1
,3
,4
]}

Shen, Jing ^{[1
]}

Xie, Qing ^{[1
]}

Jing, Li ^{[1
]}

Lin, Lin ^{[1
]}

Wang, Qiong ^{[1
]}

Wu, Jianlin ^{[1
]}

机构：

[1] Dalian Univ, Dept Radiol, Affiliated Zhongshan Hosp, 6 Jiefang St, Dalian 116001, Peoples R China

[2] Shenzhen Third Peoples Hosp, Dept Radiol, Shenzhen, Guangdong, Peoples R China

[3] Chinese Acad Med Sci, Peking Union Med Coll, Dept Radiol, Natl Canc Ctr,Natl Clin Res Ctr Canc,Canc Hosp, Shenzhen, Peoples R China

[4] Chinese Acad Med Sci, Shenzhen Hosp, Peking Union Med Coll, Shenzhen, Peoples R China

来源：

JOURNAL OF MAGNETIC RESONANCE IMAGING | 2023年 / 57卷 / 02期

基金：

中国国家自然科学基金;

关键词：

end-stage renal disease; maintenance hemodialysis; functional network connectivity; dynamic brain network; independent component analysis; cognitive function; STAGE RENAL-DISEASE; BLIND SEPARATION;

D O I：

10.1002/jmri.28317

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Background The characteristics of static functional network connectivity (sFNC) and dynamic FNC (dFNC) in neurologically asymptomatic patients undergoing maintenance hemodialysis are unknown. Elucidating these characteristics may improve our understanding of the mechanisms of neuropathological damage in these patients. Purpose To explore the static and dynamic characteristics of FNC in neurologically asymptomatic patients undergoing maintenance hemodialysis and the relationship between FNC-related parameters with the neuropsychological scores and blood biomarkers. Study Type Retrospective. Population A total of 23 neurologically asymptomatic patients undergoing maintenance hemodialysis and 25 healthy controls matched for age, sex, and years of education. Field Strength/Sequence A 3.0 T MRI/functional MRI and three-dimensional-T1 structural imaging Assessment Independent components; spatial map intensity; sFNC and dFNC strengths; and time attribute parameters (mean dwell time, fractional window, and number of transitions) were determined. Neuropsychological tests were performed. Blood biochemical tests were performed for the patients but not healthy controls. Statistical Tests Chi-squared test, one-sample t-test, two-sample t-test, partial correlation analysis, and family-wise error and false discovery rate correction. P < 0.05 denoted statistical significance. Results Significant group differences in the strengths of sFNC and dFNC between networks were found. The sFNC strength between the visual and sensorimotor networks was significantly associated with the global cognitive function score (i.e. the Montreal Cognitive Assessment [MoCA]) (r = 0.606). The sFNC strength between the salience and default mode networks was significantly associated with anxiety scores (r = 0.458). In state 1, positive correlations were found between the mean dwell time and backward digital span task score (r = 0.562), fractional window and MoCA score (r = 0.576), and fractional window and backward digital span task score (r = 0.592). Data Conclusion Neurologically asymptomatic patients undergoing maintenance hemodialysis had defective sFNC and dFNC. Our results provide a new perspective on the mechanism of neuropathological damage in patients undergoing maintenance hemodialysis. Evidence Level 1 Technical Efficacy Stage 1

引用

页码：420 / 431

页数：12

共 41 条

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