Evidence map›Paper›PMID 35762494›Full record

ArticleJournal of magnetic resonance imaging : JMRI2023

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

Die Zhang, Yingying Chen, Jing Shen, Qing Xie, Li Jing, Lin Lin, Qiong Wang, Jianlin Wu

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In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Cognitive impairment in chronic kidney disease: role of brain imaging, functional imaging, electroencephalography, cerebrospinal fluid biomarkers and sensors.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Die ZhangDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Yingying ChenDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Jing ShenDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Qing XieDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Li JingDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Lin LinDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Qiong WangDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Jianlin WuDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.ORCID 0000-0003-4943-1357
Affiliated Zhongshan Hospital of Dalian University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

resultsSignificant 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

conclusionNeurologically 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.

Indexed as

BrainCognitionBrain MappingHumansMagnetic Resonance ImagingRenal DialysisRetrospective Studiescognitive functiondynamic brain networkend-stage renal diseasefunctional network connectivityindependent component analysismaintenance hemodialysis

Identifiers

PMID35762494
PMCPMC10084323
OpenAlexW4283640577

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.