Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study.
Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study.
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患有轻度认知障碍的男性阻塞性睡眠呼吸暂停的异常动态功能网络连接：数据驱动的功能磁共振成像研究
DOI：
10.3389/fnagi.2022.977917
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发表时间：
2022
影响因子：
4.8
通讯作者：
中科院分区：
文献类型：
--
作者：
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）的动态功能网络连接（FNC）及其与认知功能的关系。本研究纳入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 （n = 41）和OSA- nc （n = 41）。采用独立分量分析确定静息状态功能网络。然后，采用滑动窗口方法构建动态FNC，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。进一步分析OSA患者的时间特性与临床评价的关系。识别出两种不同的连接状态，即连接性较强、频率较低的状态I和连接性较低、频率相对较高的状态II。与HC相比，OSA患者在连通性较强的I状态下平均停留时间更长，分数窗更高，而在II状态下则相反，这主要体现在OSA- mci患者中。OSA-MCI患者的转变次数呈增加趋势，且与认知评估呈正相关。与HC相比，OSA患者在较强连接状态I中表现出广泛的功能连接异常，在较低连接状态II中表现出较少的功能连接减少，主要位于突出网络、默认模式网络和执行控制网络。我们的研究发现，OSA患者动态FNC属性异常，呈现从HC、OSA- nc到OSA- mci的连续趋势，OSA患者动态功能连接强度异常。转化数量与OSA- mci患者的认知功能障碍相关，这可能为OSA患者的神经机制提供新的见解。
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 (n = 41) and OSA-NC (n = 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.
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