Machine learning analysis reveals abnormal functional network hubs in the primary angle-closure glaucoma patients

Chen, Ri-Bo; Zhong, Yang; Liu, Hui; Huang, Xin

doi:10.3389/fnhum.2022.935213

Cited by 13 publications

(8 citation statements)

References 28 publications

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“…In our study, the sFNC analysis identified abnormal interactions among the Sensorimotor network (SMN), attention network (AN), and visual network (VN) in PACG patients, partially corroborating previous neuroimaging findings in this patient group 32 , 33 . The crucial pathological feature in PACG patients is the apoptosis of retinal ganglion cells, which unquestionably results in alterations to the visual network.…”

Section: Discussionsupporting

confidence: 90%

“…Cai et al 12 found that the degree centrality (DC) values of bilateral visual cortex and left anterior central gyrus in PACG patients after surgery were significantly higher than those before surgery. Chen et al 13 found that PACG patients exhibited extensive dysfunction in the visual network, auditory network, default mode network, and cerebellar network, which may provide new clues to the neural mechanisms of optic atrophy in PACG patients. The above studies suggest that patients with PACG exhibit specific functional irregularities within interregional and global brain networks.…”

Section: Introductionmentioning

confidence: 99%

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Altered static and dynamic functional network connectivity in primary angle-closure glaucoma patients

Wang,

Shu,

Cai

et al. 2024

Sci Rep

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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 < 0.05). PACG patients exhibit abnormalities in both sFNC and dFNC. The high degree of overlap between static and dynamic results suggests the stability of functional connectivity networks in PACG patients, which provide a new perspective to understand the neuropathological mechanisms of optic nerve damage in PACG patients.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Altered static and dynamic functional network connectivity in primary angle-closure glaucoma patients

Wang,

Shu,

Cai

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…In our study, the sFNC analysis identi ed abnormal interactions among the Sensorimotor Network (SMN), Attention Network (AN), and Visual Network (VN) in PACG patients, partially corroborating previous neuroimaging ndings in this patient group 32,33 . The important caseological feature of PACG patients is apoptosis of retinal ganglion cells, which undoubtedly leads to changes in the visual network.…”

Section: Discussionsupporting

confidence: 90%

Altered static and dynamic functional network connectivity in Primary angle-closure glaucoma patients

wang,

Shu,

Cai

et al. 2024

Preprint

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Objective: To explore altered patterns of static and dynamic functional brain network connectivity (sFNC and dFNC) in Primary angle-closure glaucoma (PACG) patients. Methods: Clinically confirmed 34 PACG patients and 33 age- and gender-matched healthy controls (HCs) underwent evaluation using T1 anatomical and functional MRI on a 3T 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. Results: For sFNC, compared with HCs, PACG patients showed three decreased interactions, including SMN-AN, SMN-VN and VN-AN pairs. For dFNC, the results are highly congruent. In addition, PACG patients had a decreased fraction of time and mean dwell time in state 2 and an increased fraction of time and mean dwell time in state 3 (p < 0.05). Conclusion: PACG patients exhibit abnormalities in both sFNC and dFNC. The high degree of overlap between static and dynamic results suggests the stability of functional connectivity networks in PACG patients, which provide a new perspective to understand the neuropathological mechanisms of optic nerve damage in PACG patients.

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“…Cheng et al used voxel-wise degree centrality (DC) to study alterations in brain functional network hubs in PACG individuals. Results showed a notable decline in DC values within the DMN among PACG patients, signaling reduced functional connectivity in this network [27]. Similarly, both Yan et al and Yong et al observed disrupted FC between brain hemispheres during resting-state in PACG patients, with impairment observed within the DMN, which is a high-level visual area [28,29].…”

Section: Introductionmentioning

confidence: 73%

“…used voxel-wise degree centrality (DC) to study alterations in brain functional network hubs in PACG individuals. Results showed a notable decline in DC values within the DMN among PACG patients, signaling reduced functional connectivity in this network [27]. Similarly, both Yan et al .…”

Section: Introductionmentioning

confidence: 84%

Altered functional connectivity between the default mode network in primary angle-closure glaucoma patients

Tang,

Huang,

Huang

2024

NeuroReport

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Previous studies have recognized glaucoma as a neurodegenerative disease that causes extensive brain damage and is closely associated with cognitive function. In this study, we employed functional MRI to examine the intrinsic functional connectivity patterns of the default mode network (DMN) in patients diagnosed with primary angle-closure glaucoma (PACG), exploring its association with cognitive dysfunction. A total of 34 patients diagnosed with PACG and 34 healthy controls (HC), who were matched in terms of sex, age, and education, were included in the control group. The posterior cingulate cortex (PCC) was selected as the region of interest to examine functional connectivity alterations. Compared with the HC group, functional connectivity was attenuated in left anterior cingulum cortex and left paracentral lobule between with PCC in the PACG group, the results are statistically significant. Our study revealed that patients with PACG exhibit weakened functional connectivity within the DMN. This finding suggests the presence of a neurological mechanism that is associated with both visual dysfunction and cognitive impairments in PACG patients. Furthermore, our study provides neuroimaging evidence that can aid in the exploration of spontaneous neurological alterations and facilitate a deeper investigation of alterations in the visual conduction pathways of PACG patients.

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Machine learning analysis reveals abnormal functional network hubs in the primary angle-closure glaucoma patients

Cited by 13 publications

References 28 publications

Altered static and dynamic functional network connectivity in primary angle-closure glaucoma patients

Altered static and dynamic functional network connectivity in primary angle-closure glaucoma patients

Altered static and dynamic functional network connectivity in Primary angle-closure glaucoma patients

Altered functional connectivity between the default mode network in primary angle-closure glaucoma patients

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