Evidence map›Paper›PMID 41069337›Full record

ArticleBrain and behavior2025

Investigating Brain Functional Connectivity and Its Correlation With Cognitive Dysfunction in Chronic Kidney Disease Patients via Resting-State fMRI.

Ying Liu, Yingying Wang, Liling Peng, Huan Yu, Ning Wu, Chunhua Song, Chaoyang Zhang, Yan Cai, Zhenwei Wang, Yiqing Sun and 1 more

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ying LiuDepartment of Nephrology, Department of Radiology, Liangxiang Hospital, Beijing, China.
Yingying WangRadiology Center, People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, China.
Liling PengShanghai Universal Medical Imaging Diagnostic Center, Shanghai, China.
Huan YuDepartment of Nephrology, Department of Radiology, Liangxiang Hospital, Beijing, China.
Ning WuDepartment of Medical Imaging, Yanjing Medical College, Capital Medical University, Beijing, China.
Chunhua SongDepartment of Radiology, Liangxiang Hospital, Beijing, China.
Chaoyang ZhangDepartment of Nephrology, Beijing BOE Hospital, Beijing, China.
Yan CaiDepartment of Nephrology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, China.
Zhenwei WangDepartment of Radiology, Liangxiang Hospital, Beijing, China.
Yiqing SunDepartment of Radiology, Liangxiang Hospital, Beijing, China.
Xin GaoShanghai Universal Medical Imaging Diagnostic Center, Shanghai, China.

Funding

National Natural Science Foundation of China
6 · The paper itself

Abstract

objectiveThis study aimed to assess the brain functional connectivity and its association with cognitive function in patients with chronic kidney disease (CKD) using resting-state functional magnetic resonance imaging (rs-fMRI).

methodsA total of 64 CKD patients were enrolled and divided into two groups based on their dependence on dialysis: dialysis-dependent CKD (DD-CKD) group (n = 38) and non-dialysis-dependent CKD (NDD-CKD) group (n = 26). A total of 43 healthy controls (NC) were also recruited and matched for age and sex. Cognitive function was evaluated using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). MRI scans were conducted on a 3.0T Magnetom Skyra scanner equipped with a 32-channel phased array head coil. Data analysis was performed using the Data Processing Assistant for Resting-State fMRI (DPARSF) and Statistical Parametric Mapping (SPM) software.

resultsCognitive scores (MMSE and MoCA) were significantly lower in both CKD groups compared to healthy controls (p < 0.001), with DD-CKD patients exhibiting worse cognitive performance than NDD-CKD patients (p < 0.05). Laboratory parameters also differed: compared with DD-CKD, NDD-CKD patients had significantly lower levels of protein, creatinine, calcium, and phosphate (all p < 0.05). Network-based statistical analysis revealed reduced functional connectivity in both CKD groups relative to controls (p < 0.05). NDD-CKD patients showed disruptions mainly in the frontal-insular and occipital networks, whereas DD-CKD patients exhibited more extensive alterations involving frontoparietal, cingulate, and visual regions. Correlation analysis further showed that connectivity reductions in key regions-including the dorsolateral prefrontal cortex and parietal association areas-were negatively associated with renal function indicators such as serum creatinine and urea nitrogen (p < 0.05).

conclusionResting-state fMRI effectively reflects alterations in brain functional connectivity in CKD patients and is associated with cognitive performance. Notably, DD-CKD patients showed more extensive network disruptions and more severe cognitive impairment.

Indexed as

BrainCognitive DysfunctionRenal Insufficiency, ChronicAdultAgedBrain MappingCognitionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve Netbrain connectionCKD patientscognitive functiondialysisfMRIfunctional network

Identifiers

PMID41069337
PMCPMC12511789

What Socratic holds

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LicenceCC BY
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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 Socratic graph.