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 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.