Evidence map›Paper›PMID 41357314›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2025

Altered Dynamic Functional Connectivity in High Myopia: Findings From Leading Eigenvector Dynamics Analysis.

Bin Wei, Ben-Liang Shu, Yuan Cheng, Xiao-Rong Wu

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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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

4 authors.

Bin Wei *Department of Ophthalmology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.ORCID 0009-0007-0946-699X
Ben-Liang Shu *Department of Ophthalmology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Yuan Cheng *Department of Ophthalmology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Xiao-Rong WuDepartment of Ophthalmology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.ORCID 0000-0003-4580-4304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aims to investigate the impact of high myopia (HM) on brain functional connectivity (FC) using Leading Eigenvector Dynamics Analysis (LEiDA), focusing on the dynamic characteristics of brain networks and their potential neural mechanisms. Methods: We recruited 141 participants, including 82 high myopia patients and 59 healthy controls (HCs), matched for gender, age, and education level. LEiDA was applied to analyze dynamic functional connectivity (DFC). Key metrics, such as Mean Dwell Time (MDT), Transition Probability (TP), and Switching Rate (SR), were compared between groups using a two-sample Results: High myopia patients showed significantly shorter MDT in phase-locking (PL) states 1 and 2 compared to HCs (p = 0.012, p = 0.011). However, no significant differences were found in TP, SR, or occupancy rates between the two groups. Conclusion: This study demonstrates that high myopia is associated with altered dynamic brain connectivity, particularly in local network stability. The findings suggest that high myopia affects not only the visual system but also broader brain networks, potentially offering insights for early diagnosis and intervention strategies. Further research is needed to explore the therapeutic implications of these connectivity changes.

Indexed as

brain networkshigh myopiaLEiDA

Identifiers

PMID41357314
PMCPMC12681007

What Socratic holds

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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.