在痛风性关节炎患者中,与视觉空间工作记忆障碍相关的脑功能变化
Zelin Zhuang1,2, Zhixiao Yang1,2, Yuehua Huang1,2
1Department of Radiology, the First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Quantitative imaging in medicine and surgery
|October 13, 2025
概括
痛风性关节炎患者表现出视觉空间工作记忆受损和大脑功能改变. 机器学习模型可以帮助诊断痛风性关节炎中的认知障碍.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 类风湿病学 类风湿病学
背景情况:
- 痛风性关节炎 (GA) 是一种普遍的炎症状况,与严重的疼痛和高尿血症有关.
- 痛风性关节炎与认知功能之间的关系在很大程度上仍未被探索.
- 这项研究调查了GA患者的认知缺陷和相关的大脑变化.
研究的目的:
- 评估患有痛风性关节炎的患者的认知功能.
- 为了确定与GA认知障碍相关的大脑功能变化.
- 探索机器学习在诊断GA患者认知问题的实用性.
主要方法:
- 招募了21名男性GA患者和21名健康对照 (HC).
- 使用多模式功能磁共振成像 (fMRI),包括休息状态 (rs-fMRI) 和任务状态 (ts-fMRI) 在心理旋转任务 (MRT) 期间.
- 员工使用监督机器学习 (ML) 模型进行分类,并分析了蒙特利尔认知评估 (MoCA) 评分.
主要成果:
- 与HC相比,GA患者的MoCA得分明显较低,MRT性能较差.
- 一个支持向量机 (SVM) 模型在使用rs-fMRI数据来区分GA患者和HC患者时达到77.78%的准确性.
- 在MRT期间,在GA患者中观察到异常的大脑激活模式,特别是在左下叶和右海马体.
结论:
- 这项研究证实了痛风性关节炎患者的视觉空间工作记忆 (VSWM) 损伤.
- 识别了在前端对象网络中明显的脑激活差异.
- 突出了fMRI和ML在诊断与GA相关的认知障碍方面的潜力.
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