Evidence map›Paper›PMID 41378344›Full record

ArticleFrontiers in neuroscience2025

Disruption of global brain network topology in amnestic MCI: evidence from multimodal DTI and fMRI.

Yingmei Han, Xue Bai, Weiqing Li, Ze Feng, Bingyuan Chu, Ming Yang, Qingqing Shang, Hanxi Zhang, Xinlu Li, Feng Wang

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Yingmei HanGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Xue BaiGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Weiqing LiGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Ze FengGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Bingyuan ChuGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Ming YangGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Qingqing ShangGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Hanxi ZhangGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Xinlu LiGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Feng WangDivision of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to utilize multimodal neuroimaging techniques to simultaneously analyze global topological properties of white matter structural networks and resting-state functional networks in aMCI patients, comparing them with healthy controls. By conducting independent and integrative analyses of topological impairments in both networks, we seek to systematically characterize the multimodal network disruption patterns in aMCI. Methods: 45 aMCI patients and 42 healthy adults from the First Affiliated Hospital of Heilongjiang University of Chinese Medicine in Harbin, Heilongjiang Province, China, were enrolled. A case-control cross-sectional study was conducted. DTI and rs-fMRI data were collected for all participants. Global topological properties of structural and functional networks were constructed using PANDA and dpabi software and were calculated via graph-theoretical analysis in GRETNA software, followed by statistical comparisons between groups. Results: In patients with aMCI, the small-world (C Conclusion: We identified a "structure-function dissociation" in aMCI, where the structural network suffers from fragmentation and hub disruption, while the functional network compensates through rigid, hyper-localized reorganization with elevated local efficiency. This divergence reveals a core pathological mechanism of the disease.

Indexed as

amnestic mild cognitive impairmentbrain networkDiffusion tensor imagingfunctional magnetic resonance imagingglobal topological properties

Identifiers

PMID41378344
PMCPMC12685844

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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.