Evidence map›Paper›PMID 42656117›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2026

[Classification of systemic lupus erythematosus resting-state functional magnetic resonance imaging data based on the end-to-end model].

Yunyun Ma, Peng Ding, Yuqi Cheng, Tianwen Li, Lei Zhao, Anmin Gong, Wenya Nan, Yunfa Fu, Jian Xu

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yunyun MaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Peng DingFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Yuqi ChengHangzhou Seventh People's Hospital, Affiliated Mental Health Center, Zhejiang University School of Medicine, Hangzhou 310063, P. R. China.
Tianwen LiBrain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Lei ZhaoBrain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Anmin GongSchool of Information Engineering, Engineering University of the Chinese People's Armed Police Force, Xi'an 710000, P. R. China.
Wenya NanSchool of Psychology, Shanghai Normal University, Shanghai 200234, P. R. China.
Yunfa FuFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Jian XuDepartment of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming 650032, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) frequently involves the central nervous system, inducing abnormal alterations in brain functional and structural networks and resulting in cognitive and psychological dysfunction in patients. To identify abnormal brain functional network patterns associated with SLE, this study adopted a dynamic threshold strategy to detect key functional connections and construct sparse brain functional networks. A graph transformation network (GTNet) was utilized to model the optimized networks, capturing local topological features and global dependencies to effectively identify abnormal patterns of SLE-related brain functional networks. Experimental results showed that the proposed model achieved an average classification accuracy of (87.48 ± 6.77)% on the resting-state functional magnetic resonance imaging dataset consisting of 107 SLE patients and 107 healthy controls. Further analysis showed that the difference in small-world properties between the two groups was statistically significant (

Indexed as

BrainLupus Erythematosus, SystemicMagnetic Resonance ImagingHumansBrain functional networkDynamic thresholdGraph Transformer networkResting-state functional magnetic resonance imagingSystemic lupus erythematosus

Identifiers

PMID42656117
PMCPMC13519826

What OpenQuestion holds

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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.