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Background: A growing body of evidence suggests the presence of functional and structural abnormalities in patients with primary angle-closure glaucoma (PACG). The aim of this study was to examine the topological characteristics of the large-scale functional connectivity (FC) network, structural connectivity (SC) network, and strength of FC-SC coupling in patients with PACG.
Methods: This study included 47 patients with PACG and 48 healthy controls (HCs) matched for age, sex, and education. All participants underwent a detailed ophthalmological examination and cognitive assessment via the Montreal Cognitive Assessment scale. Resting-state functional magnetic resonance imaging and diffusion tensor imaging data of all participants were acquired separately. Large-scale FC and SC networks were constructed based on the Automated Anatomical Labeling 90 (AAL90) region atlas. Graph theoretic analysis was used for the computation of global attribute and node attribute indices. Subsequently, whole-brain FC-SC coupling was evaluated by analyzing the correspondence between FC and SC matrices to determine how brain anatomy constrains functional dynamics. Finally, the relationships between topological properties and coupling strengths with ophthalmic parameters and cognitive scales were assessed. Bonferroni correction was applied to all multiple comparisons.
Results: Compared with the HC group, the PACG group had a lower normalized clustering coefficient (t=-2.339; P=0.024) and small-worldness (t=-2.017; P=0.047) for the FC network and lower normalized characteristic path length (t=-2.054; P=0.043) for the SC network. In terms of node attributes, the PACG group showed abnormal node degree, node betweenness, and node efficiency for FC and SC, mainly in the frontal, temporal, and occipital lobes. In addition, the strength of FC-SC coupling in the whole brain of patients with PACG was reduced (t=-2.622; P=0.01). The topological characteristics of these functional and structural abnormalities were correlated with visual acuity, disease duration, and Montreal Cognitive Assessment score (P<0.05).
Conclusions: We observed significantly weaker FC-SC coupling in patients with PACG compared to HCs, indicating impaired integration of brain structure and function. This decoupling suggests widespread network-level disruption, and this finding advances our understanding of optic nerve damage and cognitive deficits in PACG.
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http://dx.doi.org/10.21037/qims-24-1947 | DOI Listing |
Imaging Neurosci (Camb)
October 2024
Department of Biostatistics, Yale University School of Public Health, New Haven, CT, United States.
The flow of functional connectivity (FC) is thought to be supported by white matter structural connectivity (SC). While research on the correlations between SC and FC (SC-FC coupling) has progressed, the genetic implications of SC-FC coupling have not been thoroughly examined. Traditionally, SC-FC coupling investigations utilize predefined atlases.
View Article and Find Full Text PDFQuant Imaging Med Surg
July 2025
Department of Radiology, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: A growing body of evidence suggests the presence of functional and structural abnormalities in patients with primary angle-closure glaucoma (PACG). The aim of this study was to examine the topological characteristics of the large-scale functional connectivity (FC) network, structural connectivity (SC) network, and strength of FC-SC coupling in patients with PACG.
Methods: This study included 47 patients with PACG and 48 healthy controls (HCs) matched for age, sex, and education.
Neuroimage Clin
March 2023
Department of Rehabilitation Medicine, The 900th Hospital of People's Liberation Army (Fuzhou General Hospital of Nanjing Military Region), Fuzhou, 350025, China; Department of Rehabilitation Medicine, Fuzhou General Hospital (Dongfang Hospital), Xiamen University, Fuzhou 350025, China. Electronic a
Background And Purpose: Stroke may lead to widespread functional and structural reorganization in the brain. Several studies have reported a potential correlation between functional network changes and structural network changes after stroke. However, it is unclear how functional-structural relationships change dynamically over the course of one resting-state fMRI scan in patients following a stroke; furthermore, we know little about their relationships with the severity of motor dysfunction.
View Article and Find Full Text PDFMath Biosci Eng
June 2022
College of Medical Imaging, Jiading District Central Hospital affiliated Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
The coupling between functional and structural brain networks is difficult to clarify due to the complicated alterations in gray matter and white matter for the development of Alzheimer's disease (AD). A cohort of 112 participants [normal control group (NC, 62 cases), mild cognitive impairment group (MCI, 31 cases) and AD group (19 cases)], was recruited in our study. The brain networks of rsfMRI functional connectivity (rsfMRI-FC) and diffusion tensor imaging structural connectivity (DTI-SC) across the three groups were constructed, and their correlations were evaluated by Pearson's correlation analyses and multiple comparison with Bonferroni correction.
View Article and Find Full Text PDFJ Affect Disord
February 2016
Medical School, Nanjing University, 22 Hankou Road, Nanjing 210093, China; Department of Psychiatry, Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China. Electronic address:
Background: Dynamic functional-structural connectivity (FC-SC) coupling might reflect the flexibility by which SC relates to functional connectivity (FC). However, during the dynamic acute state change phases of FC, the relationship between FC and SC may be distinctive and embody the abnormality inherent in depression. This study investigated the depression-related inter-network FC-SC coupling within particular dynamic acute state change phases of FC.
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