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自动量化REM睡眠没有动可靠地识别REM睡眠行为障碍患者:一种可能的查工具?
Raffaele Mancini1, Pietro Mattioli2,3, Francesco Famà1,4
1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
概括
自动量化REM睡眠没有无 (RWA) 可靠地识别REM睡眠行为障碍 (RBD) 患者. 然而,这种方法与这些个体的尼格罗-状腺多巴胺功能没有相关性.
科学领域:
- 神经学 神经学
- 睡眠医学 睡眠医学
- 神经成像是一种神经成像.
背景情况:
- 雷姆睡眠行为障碍 (RBD) 的特征在于在雷姆睡眠期间 (REM睡眠没有,RWA) 缺少肌肉放松.
- 尼格罗-状腺多巴胺基通路损伤是帕金森病 (PD) 的标志,可以在像异常性RBD (iRBD) 这样的前兆阶段检测到.
研究的目的:
- 评估用于识别RBD患者的自动RWA量化方法的有效性.
- 为了研究RWA和黑色-状腺多巴胺功能之间的关系.
主要方法:
- 在两个中心招募有iRBD,有RBD的PD,没有RBD的PD和健康的对照患者.
- 使用[123I]FP-CIT-SPECT或[18F]PE2I-PET成像,评估黑色-状腺多巴胺功能.
- 通过公布的自动算法分析下巴肌肉活动,以量化RWA.
主要成果:
- 自动RWA量化在RBD和非RBD受试者之间取得了显著的差异化 (AUC=0.86).
- 与自动方法相比,传统的视觉评分显示出更高的准确性 (AUC=0.99).
- 没有观察到RWA和尼格罗-状腺多巴胺功能之间有统计学意义的相关性.
结论:
- 自动化RWA量化作为一个可靠的工具,用于选个人与RBD.
- 尽管自动化RWA量化在诊断中的实用性,但并没有显示与黑色-状腺多巴胺作用的相关性.
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