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已发表论文
高度近视患者的动态功能连接改变：基于主特征向量动力学分析的研究结果
Authors Wei B , Shu BL, Cheng Y, Wu XR
Received 29 July 2025
Accepted for publication 19 November 2025
Published 1 December 2025 Volume 2025:19 Pages 4367—4372
DOI https://doi.org/10.2147/OPTH.S556941
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
Bin Wei,* Ben-Liang Shu,* Yuan Cheng,* Xiao-Rong Wu
Department of Ophthalmology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xiao-Rong Wu, Department of Ophthalmology, the 1 st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People’s Republic of China, Tel +86-136117093259, Email wxr98021@126.com
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 t-test with FDR correction.
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.
Keywords: LEiDA, high myopia, brain networks
Department of Ophthalmology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xiao-Rong Wu, Department of Ophthalmology, the 1 st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People’s Republic of China, Tel +86-136117093259, Email wxr98021@126.com
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 t-test with FDR correction.
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.
Keywords: LEiDA, high myopia, brain networks