Li Haijun, Li Lan, Li Kunyao, Li Panmei, Xie Wei, Zeng Yaping, Kong Linghong, Long Ting, Huang Ling, Liu Xiang, Shu Yongqiang, Zeng Li, Peng Dechang
Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.
PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Front Aging Neurosci. 2022 Oct 25;14:977917. doi: 10.3389/fnagi.2022.977917. eCollection 2022.
The purpose of this study was to investigate the dynamic functional network connectivity (FNC) and its relationship with cognitive function in obstructive sleep apnea (OSA) patients from normal cognition (OSA-NC) to mild cognitive impairment (OSA-MCI).
Eighty-two male OSA patients and 48 male healthy controls (HC) were included in this study. OSA patients were classified to OSA-MCI ( = 41) and OSA-NC ( = 41) based on cognitive assessments. The independent component analysis was used to determine resting-state functional networks. Then, a sliding-window approach was used to construct the dynamic FNC, and differences in temporal properties of dynamic FNC and functional connectivity strength were compared between OSA patients and the HC. Furthermore, the relationship between temporal properties and clinical assessments were analyzed in OSA patients.
Two different connectivity states were identified, namely, State I with stronger connectivity and lower frequency, and State II with lower connectivity and relatively higher frequency. Compared to HC, OSA patients had a longer mean dwell time and higher fractional window in stronger connectivity State I, and opposite result were found in State II, which was mainly reflected in OSA-MCI patients. The number of transitions was an increasing trend and positively correlated with cognitive assessment in OSA-MCI patients. Compared with HC, OSA patients showed extensive abnormal functional connectivity in stronger connected State I and less reduced functional connectivity in lower connected State II, which were mainly located in the salience network, default mode network, and executive control network.
Our study found that OSA patients showed abnormal dynamic FNC properties, which was a continuous trend from HC, and OSA-NC to OSA-MCI, and OSA patients showed abnormal dynamic functional connectivity strength. The number of transformations was associated with cognitive impairment in OSA-MCI patients, which may provide new insights into the neural mechanisms in OSA patients.
本研究旨在探讨阻塞性睡眠呼吸暂停（OSA）患者从正常认知（OSA-NC）到轻度认知障碍（OSA-MCI）阶段的动态功能网络连接性（FNC）及其与认知功能的关系。
本研究纳入了82例男性OSA患者和48例男性健康对照（HC）。根据认知评估将OSA患者分为OSA-MCI组（n = 41）和OSA-NC组（n = 41）。采用独立成分分析确定静息态功能网络。然后，使用滑动窗口方法构建动态FNC，并比较OSA患者与HC之间动态FNC的时间特性和功能连接强度的差异。此外，分析了OSA患者时间特性与临床评估之间的关系。
识别出两种不同的连接状态，即连接性较强且频率较低的状态I和连接性较低且频率相对较高的状态II。与HC相比，OSA患者在连接性较强的状态I下平均停留时间更长，窗口分数更高，而在状态II中则相反，这主要体现在OSA-MCI患者中。转换次数呈增加趋势，且与OSA-MCI患者的认知评估呈正相关。与HC相比，OSA患者在连接性较强的状态I中显示出广泛的异常功能连接，而在连接性较低的状态II中功能连接减少较少，主要位于突显网络、默认模式网络和执行控制网络。
我们的研究发现，OSA患者表现出异常的动态FNC特性，这是一个从HC、OSA-NC到OSA-MCI的连续趋势，并且OSA患者表现出异常的动态功能连接强度。转换次数与OSA-MCI患者的认知障碍有关，这可能为OSA患者的神经机制提供新的见解。
Zotero 插件
