Dynamic regional homogeneity alterations and cognitive impairment in patients with moderate and severe obstructive sleep apnea

阻塞性睡眠呼吸暂停 医学 楔前 功能磁共振成像 内科学 心脏病学 颞上回 认知 听力学 磁共振成像 脑岛 舌回 睡眠呼吸暂停 心理学 神经科学 放射科 精神科
作者
Kunyao Li,Yongqiang Shu,Xiang Liu,Wei Xie,Panmei Li,Linghong Kong,Pengfei Yu,Yaping Zeng,Ling Huang,Ting Long,Li Zeng,Haijun Li,Dechang Peng
出处
期刊:Frontiers in Neuroscience [Frontiers Media]
卷期号:16 被引量:11
标识
DOI:10.3389/fnins.2022.940721
摘要

Background and purpose Previous studies have found that abnormal local spontaneous brain activity in patients with obstructive sleep apnea (OSA) was associated with cognitive impairment, and dynamic functional connections can capture the time changes of functional connections during magnetic resonance imaging acquisition. The purpose of this study was to investigate the dynamic characteristics of regional brain connectivity and its relationship with cognitive function in patients with OSA and to explore whether the dynamic changes can be used to distinguish them from healthy controls (HCs). Methods Seventy-nine moderate and severe male OSA patients without any treatment and 84 HCs with similar age and education were recruited, and clinical data and resting functional magnetic resonance imaging data were collected. The dynamic regional homogeneity (dReHo) was calculated using a sliding window technique, and a double-sample t -test was used to test the difference in the dReHo map between OSA patients and HCs. We explored the relationship between dReHo and clinical and cognitive function in OSA patients using Pearson correlation analysis. A support vector machine was used to classify the OSA patients and HCs based on abnormal dReHo. Result Compared with HCs, OSA patients exhibited higher dReHo values in the right medial frontal gyrus and significantly lower dReHo values in the right putamen, right superior temporal gyrus, right cingulate gyrus, left insula and left precuneus. The correlation analysis showed that the abnormal dReHo values in multiple brain regions in patients with OSA were significantly correlated with nadir oxygen saturation, the oxygen depletion index, sleep period time, and Montreal cognitive assessment score. The support vector machine classification accuracy based on the dReHo difference in brain regions was 81.60%, precision was 81.01%, sensitivity was 81.01%, specificity was 82.14%, and area under the curve was 0.89. Conclusion The results of this study suggested that there was abnormal dynamic regional spontaneous brain activity in patients with OSA, which was related to clinical and cognitive evaluation and can be used to distinguish OSA patients from HCs. The dReHo is a potential objective neuroimaging marker for patients with OSA that can further the understanding of the neuropathological mechanism of patients with OSA.
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