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Abstract To explore altered patterns of static and dynamic functional brain network connectivity (sFNC and dFNC) in Primary angle-closure glaucoma (PACG) patients. Clinically confirmed 34 PACG patients and 33 age- and gender-matched healthy controls (HCs) underwent evaluation using T1 anatomical and functional MRI on a 3 T scanner. Independent component analysis, sliding window, and the K-means clustering method were employed to investigate the functional network connectivity (FNC) and temporal metrics based on eight resting-state networks. Differences in FNC and temporal metrics were identified and subsequently correlated with clinical variables. For sFNC, compared with HCs, PACG patients showed three decreased interactions, including SMN-AN, SMN-VN and VN-AN pairs. For dFNC, we derived four highly structured states of FC that occurred repeatedly between individual scans and subjects, and the results are highly congruent with sFNC. In addition, PACG patients had a decreased fraction of time in state 3 and negatively correlated with IOP (p

Background: Glaucoma patients frequently present with depressive symptoms, the development of which is closely associated with amygdalar activity. However, no studies to date have documented glaucoma-related changes in the functional connectivity (FC) of the amygdala. Accordingly, resting-state functional magnetic resonance imaging (rs-fMRI) analyses were herein used to evaluate changes in amygdalar FC in primary angle-closure glaucoma (PACG) patients. Methods: In total, this study enrolled 36 PACG patients and 33 healthy controls (HCs). Complete eye exams were conducted for all PACG patients. After the preprocessing of magnetic resonance imaging (MRI) data, the bilateral amygdala was selected as a seed point, followed by the comparison of resting-state FC between the PACG and HC groups. Then, those brain regions exhibiting significant differences between these groups were identified, and relationships between the FC coefficient values for these regions and clinical variables of interest were assessed. Results: These analyses revealed that as compared to HC individuals, PACG patients exhibited reductions in FC between the amygdala and the cerebellum_8, vermis_4_5, anterior central gyrus, supplementary motor area, paracentral lobule, putamen, middle frontal gyrus, and posterior cingulate gyrus, while enhanced FC was detected between the right and left amygdala. No significant correlations between these changes in amygdalar any any disease-related clinical parameters or disease duration were noted. Conclusions: Patients with PACG exhibit extensive resting state abnormalities with respect to the FC between the amygdala and other regions of the brain, suggesting that dysregulated amygdalar FC may play a role in the pathophysiology of PACG.