Li Wenqing, Sun Wei, Wang Di, Jiao Zhuqing, Liu Tongqiang, Zhang Wanchao, Shi Haifeng
Department of Radiology, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou 213000, China.
Department of Radiology, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou 213000, China; Graduate College, Dalian Medical University, Dalian 116085, China.
Acad Radiol. 2025 Mar;32(3):1586-1597. doi: 10.1016/j.acra.2024.07.030. Epub 2024 Aug 1.
To assess changes in the central executive network (CEN) of patients with mild cognitive impairment (MCI) associated with end-stage renal disease (ESRD).
A total of 121 patients with ESRD and 66 healthy controls (HCs) were enrolled. Patients were divided into an MCI group (n = 67) and a cognitively unimpaired group (n = 54). All participants underwent resting-state functional magnetic resonance imaging and were evaluated using the Montreal Cognitive Assessment (MoCA). The functional attributes of the CEN were calculated using three methods of functional connectivity (FC) analysis. Relationships among imaging features, cognitive scale scores, and clinical data were assessed, and a model was constructed to diagnose MCI in patients with ESRD.
The comparison of the three groups showed that there were significant differences in the FC values of five connection pairs within the CEN, and the CEN demonstrated significant differences in connectivity to ten brain regions. In patients with MCI associated with ESRD, the information transmission efficiency of the CEN was reduced, which demonstrates the characteristics of a random network to some extent. Significant correlations were observed among imaging parameters, cognitive scale scores, and clinical data. The diagnostic model constructed based on these results demonstrated excellent discrimination and calibration.
Alterations in the function of the CEN provide relevant bases for revealing the neuropathological mechanism of MCI in patients with ESRD. The diagnostic model developed in this study may help to establish more reliable imaging markers for detecting early cognitive impairment in this patient population.
评估与终末期肾病(ESRD)相关的轻度认知障碍(MCI)患者的中央执行网络(CEN)变化。
共纳入121例ESRD患者和66例健康对照(HC)。患者分为MCI组(n = 67)和认知未受损组(n = 54)。所有参与者均接受静息态功能磁共振成像检查,并使用蒙特利尔认知评估量表(MoCA)进行评估。采用三种功能连接(FC)分析方法计算CEN的功能属性。评估成像特征、认知量表评分和临床数据之间的关系,并构建模型以诊断ESRD患者的MCI。
三组比较显示,CEN内五个连接对的FC值存在显著差异,且CEN与十个脑区的连接性存在显著差异。在与ESRD相关的MCI患者中,CEN的信息传递效率降低,这在一定程度上体现了随机网络的特征。成像参数、认知量表评分和临床数据之间存在显著相关性。基于这些结果构建的诊断模型具有出色的区分度和校准度。
CEN功能改变为揭示ESRD患者MCI的神经病理机制提供了相关依据。本研究开发的诊断模型可能有助于为该患者群体检测早期认知障碍建立更可靠的成像标志物。