Widespread aberrant functional connectivity throughout the whole brain in obstructive sleep apnea.
Widespread aberrant functional connectivity throughout the whole brain in obstructive sleep apnea.
复制标题
阻塞性睡眠呼吸暂停患者整个大脑存在广泛的功能连接异常
DOI：
10.3389/fnins.2022.920765
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发表时间：
2022
影响因子：
4.3
通讯作者：
Gao, Feng
中科院分区：
文献类型：
--
作者：
Hou, Ailin;Pang, Xueming;Zhang, Xi;Peng, Yanmin;Li, Dongyue;Wang, He;Zhang, Quan;Liang, Meng;Gao, Feng
关键词：
阻塞性睡眠呼吸暂停（OSA）是一种高患病率的睡眠相关呼吸障碍，与认知障碍有关。先前的神经影像学研究报道了OSA患者异常的脑功能连接（FC）可能导致他们的神经认知障碍。然而，目前尚不清楚OSA患者是否具有可作为识别OSA的神经影像学生物标志物的特征性FC改变模式。本研究共纳入21例OSA患者和21例健康对照（hc），采用静息状态功能磁共振成像（fMRI）进行扫描。采用自动解剖标记图谱（automated anatomy labeling， AAL）将大脑划分为90个区域，计算每对区域之间的FC。然后进行单因素分析以检测OSA患者与对照组的FCs异常，并使用多因素模式分析（multivariate pattern analysis, MVPAs）对OSA患者与对照组进行分类。单变量比较未发现任何显著改变的FC。然而，MVPA显示OSA患者和对照组之间的成功分类准确率为83.33% （p = 0.0001）。此外，所选择的FCs与几乎所有的大脑区域相关，并且广泛分布在整个大脑中，无论是在许多静息状态功能网络内部还是之间。所选FCs中，3个与呼吸暂停低通气指数（AHI）显著相关，2个与氧饱和度（SaO2）低于总睡眠时间90%的时间百分比（%TST < 90%）显著相关。OSA患者全脑广泛存在FCs异常。这种异常的FC模式有可能作为OSA的神经生物学标志物，强调其对了解OSA及其认知障碍的复杂神经机制的重要性。
Obstructive sleep apnea (OSA) is a sleep-related breathing disorder with high prevalence and is associated with cognitive impairment. Previous neuroimaging studies have reported abnormal brain functional connectivity (FC) in patients with OSA that might contribute to their neurocognitive impairments. However, it is unclear whether patients with OSA have a characteristic pattern of FC changes that can serve as a neuroimaging biomarker for identifying OSA. A total of 21 patients with OSA and 21 healthy controls (HCs) were included in this study and scanned using resting-state functional magnetic resonance imaging (fMRI). The automated anatomical labeling (AAL) atlas was used to divide the cerebrum into 90 regions, and FC between each pair of regions was calculated. Univariate analyses were then performed to detect abnormal FCs in patients with OSA compared with controls, and multivariate pattern analyses (MVPAs) were applied to classify between patients with OSA and controls. The univariate comparisons did not detect any significantly altered FC. However, the MVPA showed a successful classification between patients with OSA and controls with an accuracy of 83.33% (p = 0.0001). Furthermore, the selected FCs were associated with nearly all brain regions and widely distributed in the whole brain, both within and between, many resting-state functional networks. Among these selected FCs, 3 were significantly correlated with the apnea-hypopnea index (AHI) and 2 were significantly correlated with the percentage of time with the saturation of oxygen (SaO2) below 90% of the total sleep time (%TST < 90%). There existed widespread abnormal FCs in the whole brain in patients with OSA. This aberrant FC pattern has the potential to serve as a neurological biomarker of OSA, highlighting its importance for understanding the complex neural mechanism underlying OSA and its cognitive impairment.
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