楔前
海马结构
海马体
阻塞性睡眠呼吸暂停
医学
功能磁共振成像
认知
颞叶
舌回
中央前回
磁共振成像
心脏病学
内科学
静息状态功能磁共振成像
神经科学
听力学
心理学
放射科
癫痫
作者
Ling Huang,Yongqiang Shu,Xiang Liu,Lifeng Li,Ting Long,Li Zeng,Yumeng Liu,Yingke Deng,Haijun Li,Dechang Peng
出处
期刊:Sleep Medicine
[Elsevier BV]
日期:2023-11-01
卷期号:112: 273-281
被引量:8
标识
DOI:10.1016/j.sleep.2023.10.037
摘要
To investigate the dynamic change characteristics of dynamic functional connectivity (dFC) between the hippocampal subregions (anterior and posterior) and other brain regions in obstructive sleep apnoea (OSA) and its relationship with cognitive function, and to explore whether these characteristics can be used to distinguish OSA from healthy controls (HCs). Eighty-five patients with newly diagnosed moderate-to-severe OSA and 85 HCs were enrolled. All participants underwent resting-state functional magnetic resonance imaging (fMRI). The difference between dFC values between the hippocampal subregions and other brain regions in OSA patients and HCs was compared using the two-sample t tests. Correlation analyses were used to assess the relationship between dFC, clinical data, and cognitive functions in OSA patients. dFC values from different brain regions were used as classification features to distinguish between the two groups using a support vector machine. Compared with HCs, the dFC values between the left anterior hippocampus and right culmen of the cerebellum anterior lobe, right anterior hippocampus and left lingual gyrus, and left posterior hippocampus and left precentral gyrus were significantly lower, and the dFC values between the left posterior hippocampus and precuneus were significantly higher in OSA patients. The dFC values between the left posterior hippocampus and the precuneus of OSA patients were associated with sleep-related indicators and Montreal Cognitive Assessment scores. Support vector machine analysis results showed that dFC values in different brain regions could distinguish OSA patients from HCs. dFC patterns between the hippocampal subregions and other brain regions were altered in patients with OSA, including the cerebellum, default mode networks, sensorimotor networks, and visual function networks, which is possibly associated with cognitive decline. In addition, the dFC values of different brain regions could effectively distinguish OSA patients from HCs. These findings provide new perspectives on neurocognition in these patients.
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