Shu Yongqiang, Liu Xiang, Yu Pengfei, Li Haijun, Duan Wenfeng, Wei Zhipeng, Li Kunyao, Xie Wei, Zeng Yaping, Peng Dechang
Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China.
Big Data Center, The Second Affiliated Hospital of Nanchang University, Jiangxi, China.
Front Aging Neurosci. 2022 Oct 31;14:1022628. doi: 10.3389/fnagi.2022.1022628. eCollection 2022.
Obstructive sleep apnea (OSA) is the most common sleep disorder worldwide. Previous studies have shown that OSA patients are often accompanied by cognitive function loss, and the underlying neurophysiological mechanism is still unclear. This study aimed to determine whether there are differences in regional homogeneity (Reho) and functional connectivity (FC) across the brain between OSA patients with MCI (OSA-MCI) and those without MCI (OSA-nMCI) and whether such differences can be used to distinguish the two groups. Resting state magnetic resonance data were collected from 48 OSA-MCI patients and 47 OSA-nMCI patients. The brain regions with significant differences in Reho and FC between the two groups were identified, and the Reho and FC features were combined with machine learning methods for classification. Compared with OSA-nMCI patients, OSA-MCI patients showed significantly lower Reho in bilateral lingual gyrus and left superior temporal gyrus. OSA-MCI patients also showed significantly lower FC between the bilateral lingual gyrus and bilateral cuneus, left superior temporal gyrus and left middle temporal gyrus, middle frontal gyrus, and bilateral posterior cingulate/calcarine/cerebellar anterior lobe. Based on Reho and FC features, logistic regression classification accuracy was 0.87; sensitivity, 0.70; specificity, 0.89; and area under the curve, 0.85. Correlation analysis showed that MoCA scale score in OSA patients was significant positive correlation sleep efficiency and negatively correlation with neck circumference. In conclusion, our results showed that the OSA-MCI group showed decreased Reho and FC in specific brain regions compared with the OSA-nMCI group, which may help to understand the underlying neuroimaging mechanism of OSA leading to cognitive dysfunction and may serve as a potential biomarker to distinguish whether OSA is accompanied by cognitive impairment.
阻塞性睡眠呼吸暂停（OSA）是全球最常见的睡眠障碍。既往研究表明，OSA患者常伴有认知功能减退，但其潜在的神经生理机制仍不清楚。本研究旨在确定伴轻度认知障碍（MCI）的OSA患者（OSA-MCI）和不伴MCI的OSA患者（OSA-nMCI）之间全脑局部一致性（Reho）和功能连接（FC）是否存在差异，以及这种差异是否可用于区分这两组患者。收集了48例OSA-MCI患者和47例OSA-nMCI患者的静息态磁共振数据。确定了两组之间Reho和FC存在显著差异的脑区，并将Reho和FC特征与机器学习方法相结合进行分类。与OSA-nMCI患者相比，OSA-MCI患者双侧舌回和左侧颞上回的Reho显著降低。OSA-MCI患者双侧舌回与双侧楔叶、左侧颞上回与左侧颞中回、额中回以及双侧后扣带回/距状裂/小脑前叶之间的FC也显著降低。基于Reho和FC特征，逻辑回归分类准确率为0.87；敏感性为0.70；特异性为0.89；曲线下面积为0.
