Evidence map›Paper›PMID 39738277›Full record

ArticleScientific reports2024

Multilayer network analysis in patients with end-stage kidney disease.

Jiyae Yi, Chang Min Heo, Bong Soo Park, Yoo Jin Lee, Sihyung Park, Yang Wook Kim, Dong Ah Lee, Kang Min Park, Jinseung Kim, Junghae Ko

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Jiyae Yi *Departments of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Chang Min HeoDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Bong Soo ParkDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Yoo Jin LeeDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Sihyung ParkDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Yang Wook KimDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Dong Ah LeeDepartments of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Kang Min ParkDepartments of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Jinseung KimDepartment of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
Junghae KoDepartment of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, Republic of Korea. arrioph1@gmail.com.

Funding

National Research Foundation of Korea NRF-2022R1F1A1074160
6 · The paper itself

Abstract

This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited normal brain magnetic resonance imaging (MRI) without any structural lesions. All participants, both ESRD patients and healthy controls, underwent T1-weighted imaging, diffusion tensor imaging (DTI), and resting-state functional MRI (rs-fMRI) using the same three-tesla MRI scanner. A structural connectivity matrix was generated using the DTI and DSI programs, and a functional connectivity matrix was created using the rs-fMRI and SPM programs in the CONN toolbox. Multilayer network analysis was conducted based on structural and functional connectivity matrices using BRAPH. Significant differences were observed at the global level in the multilayer network between patients with ESKD and healthy controls. The weighted multiplex participation was lower in patients with ESKD than in healthy controls (0.6454 vs. 0.7212, adjusted p = 0.049). However, other multilayer network measures did not differ. The weighted multiplex participation in the right subcentral gyrus, right opercular part of the inferior frontal gyrus, right occipitotemporal medial lingual gyrus, and right postcentral gyrus in patients with ESKD was lower than that in the corresponding regions in healthy controls (0.6704 vs. 0.8562, 0.8593 vs. 0.9388, 0.7778 vs. 0.8849, and 0.6825 vs. 0.8112; adjusted p < 0.05, respectively).This study demonstrated that the multilayer network combining structural and functional layers in patients with ESKD was different from that in healthy controls. The specific differences in weighted multiplex participation suggest potential disruptions in the integrated communication between different brain regions in these patients.

Indexed as

BrainDiffusion Tensor ImagingKidney Failure, ChronicMagnetic Resonance ImagingAdultBrain MappingCase-Control StudiesFemaleHumansMaleMiddle AgedNerve NetProspective StudiesConnectomeMagnetic resonance imagingNeural networks

Identifiers

PMID39738277
PMCPMC11685722

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