阻塞性睡眠呼吸暂停患者的初级运动皮质子区域的功能连接性变化
Lifeng Li1,2, Qimeng Shi3, Bowen Fang4
1Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Brain and behavior
|July 27, 2025
概括
阻塞性睡眠呼吸暂停 (OSA) 改变了运动区域的大脑连接,影响认知和增加事故风险. 机器学习模型,特别是支持向量机 (SVM),在使用这些大脑模式来诊断OSA方面表现有前途.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 睡眠医学 睡眠医学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 与认知缺陷和与运动相关的大脑网络的变化有关.
- 了解初级运动皮质 (M1) 中的功能连接 (FC) 变化对于理解OSA的神经影响至关重要.
研究的目的:
- 调查阻塞性睡眠呼吸暂停 (OSA) 患者中初级运动皮质 (M1) 亚区域的功能连接性 (FC) 变化.
- 探索这些FC变化与睡眠结构,认知功能和临床特征的关联.
- 用机器学习评估FC模式在区分OSA患者与健康对照 (HC) 的潜力.
主要方法:
- 休息状态功能性MRI (fMRI) 数据从65名OSA患者和65名匹配的HC参与者中收集.
- 12个M1亚区域的功能连接 (FC) 使用人类脑组图谱进行了分析.
- 统计分析包括t测试,部分相关性和机器学习算法 (SVM,RF,LR) 进行分类.
主要成果:
- 与HC患者相比,在OSA患者的特定M1亚区域 (例如A6cdl,A4tl,A6cvl) 观察到显著的FC增强.
- 在左侧A4tl-IPL区域的FC和N2得分之间发现了负相关性.
- 支持矢量机 (SVM) 在基于FC特征的基础上,在区分OSA患者和HC患者方面表现出最高的准确性.
结论:
- 阻塞性睡眠呼吸暂停 (OSA) 在M1亚区域显著改变功能连接 (FC),影响运动控制和认知功能.
- 这些FC变化与临床特征相关,可能会增加事故风险.
- 通过SVM识别的FC模式显示了作为OSA诊断生物标志物的潜力.
关键词:
功能连接性的功能连接性阻塞性睡眠呼吸暂停 (SOP) 的情况.主要运动皮层 (Primary Motor Cortex) 是一个主要的运动皮层.亚区域子区域 亚区域子区域支持矢量机器的支持矢量机器.更多相关视频
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