阻塞性睡眠呼吸暂停低通气综合征（OSAHS）是睡眠中反复上气道阻塞致呼吸暂停的常见睡眠障碍，会引起学习、记忆及注意等广泛的神经认知功能损害，甚至引发老年痴呆。我们前期研究发现OSAHS患者多个认知相关脑区局部自发神经活动异常，结合以往研究推测认知损害可能与网络水平神经功能连接模式异常有关，但目前对OSAHS脑网络连接模式认识尚不清。基于此，本项目拟应用多模态MRI技术开展：(1)基于连接组学方法构建结构和功能大尺度脑网络，探寻OSAHS患者多模态脑网络连接生物影像学标记。(2)构建OSAHS患者静息态脑网络，探讨子网络功能拓扑属性改变的影像学特征。(3)探讨OSAHS患者脑结构网络和功能网络耦合关系对认知损害的影响。通过对OSAHS患者大尺度网络层面的多模态磁共振脑功能成像研究，探索认知损害的神经网络异常连接模式，试图从网络水平为OSAHS患者脑损害的病理生理机制及早期识别提供影像学表征。

Obstructive sleep apnea-hypopnea syndrom (OSAHS) is a common type of sleep-related breathing disorder, caused by repeated obstruction of the upper airway during sleep, leading to a wide range of neurocognitive impairments in learning, memory, attention and, in severe cases, even Alzheimer's disease. Our previous studies have found abnormal local spontaneous brain activity in multiple cognitive-related brain areas in patients with OSAHS, and combined with previous research, we speculated that cognitive impairment may be associated with abnormal patterns of neural functional connectivity at the network-level. However, at present, the patterns of brain network connectivity in OSAHS patients remain unclear. Based on these studies, this project intends to (1) establish large-scale functional and structural brain networks by graph-based complex network analyses, in order to explore imaging biomarkers for multi-modal brain network connectivity in OSAHS patients; (2) establish resting-state networks（RSNs）and investigate the imaging features of altered functional sub-network properties in OSAHS patients; (3) explore the effects of structural and functional network coupling on impaired cognition in OSAHS patients. At the large-scale network level, we employ multimodal MRI to explore abnormal neural network connectivity patterns of cognitive impairment in OSAHS patients, trying to provide image representation for pathophysiological mechanisms and early identification of brain damage in OSAHS patients.