Li Heng-Hui, Su Yan-Ni, Huang Xin
Department of Ophthalmology, Gaoxin Branch of the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China.
The First Clinical Medical College, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China.
Diabetes Metab Syndr Obes. 2024 Aug 30;17:3239-3248. doi: 10.2147/DMSO.S470950. eCollection 2024.
Diabetic retinopathy (DR) is a prevalent ocular manifestation of diabetic microvascular complications and a primary driver of irreversible blindness. Existing studies have illuminated the presence of aberrant brain activity in individuals affected by DR. However, the alterations in the modular segregation of brain networks among DR patients remain inadequately understood. The study aims to explore the modular segregation of brain networks in patients with DR.
We examined the blood oxygen levels dependent (BOLD) signals using resting-state functional magnetic resonance imaging (R-fMRI) in a cohort of 46 DRpatients and 43 age-matched healthy controls (HC). Subsequently, Modular analysis utilizing graph theory method was applied to quantify the degree of brain network segregation by computing the participation coefficient (PC). Deviations from typical PC values were further elucidated through intra- and inter-module connectivity analyses.
The DR group demonstrated significantly lower mean PC in the frontoparietal network (FPN), sensorimotor network (SMN), and visual network (VN) compared to the HCgroup. Moreover, increased inter-module connections were observed between the default-mode network (DMN) and SMN, as well as between FPN and VN within the DR group. In terms of nodal analysis, higher PC values were detected in the left thalamus, right frontal lobe, and right precentral gyrus in the DR group compared to the HC group.
Patients with DR show impairments in primary sensory networks and higher cognitive networks within their functional brain networks. These changes may provide essential insights into the neurobiological mechanisms of DR by identifying alterations in the brain networks of DR patients and pinpointing sensitive neurobiological markers that could serve as vital imaging references for future treatments of diabetic retinopathy.
糖尿病视网膜病变(DR)是糖尿病微血管并发症常见的眼部表现,也是不可逆失明的主要原因。现有研究已揭示DR患者存在异常脑活动。然而,DR患者脑网络模块化分离的变化仍未得到充分了解。本研究旨在探讨DR患者脑网络的模块化分离情况。
我们使用静息态功能磁共振成像(R-fMRI)检查了46例DR患者和43例年龄匹配的健康对照(HC)的血氧水平依赖(BOLD)信号。随后,应用基于图论方法的模块化分析,通过计算参与系数(PC)来量化脑网络分离程度。通过模块内和模块间连通性分析进一步阐明与典型PC值的偏差。
与HC组相比,DR组在额顶叶网络(FPN)、感觉运动网络(SMN)和视觉网络(VN)中的平均PC显著降低。此外,在DR组中观察到默认模式网络(DMN)与SMN之间以及FPN与VN之间的模块间连接增加。在节点分析方面,与HC组相比,DR组在左侧丘脑、右侧额叶和右侧中央前回检测到更高的PC值。
DR患者在其功能性脑网络中的初级感觉网络和高级认知网络存在损伤。这些变化可能通过识别DR患者脑网络的改变以及确定敏感的神经生物学标志物,为DR的神经生物学机制提供重要见解,这些标志物可作为未来糖尿病视网膜病变治疗的重要影像学参考。