在COVID-19后的队列中,神经认知领域功能与心理物理嗅觉评估之间的非提示性和提示性识别测试之间的相互关系
Jeremy P Tervo1, Patricia T Jacobson2, Brandon J Vilarello3
1Department of Otolaryngology-Head and Neck Surgery Columbia University Vagelos College of Physicians and Surgeons New York New York USA.
World journal of otorhinolaryngology - head and neck surgery
|February 9, 2026
概括
意外识别 (UI) 嗅觉测试可以作为长期COVID-19患者神经认知功能的代理. 这些评估可以帮助选认知障碍以及嗅觉功能障碍.
科学领域:
- 神经科学是一个神经科学.
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 传染性疾病 传染性疾病
背景情况:
- 长期COVID-19与持续的嗅觉功能障碍 (OD) 和潜在的神经认知能力下降有关.
- 嗅觉功能评估,特别是心理物理测试,需要大量的认知资源.
- 非提示性识别 (UI) 测试需要将气味与记忆相匹配,从而造成高认知负载.
研究的目的:
- 调查UI嗅觉评估是否可以作为长期COVID-19患者特定神经认知领域的代理.
- 在长期COVID-19的背景下,了解嗅觉功能和神经认知性能之间的关系.
主要方法:
- 患有长期COVID-19和持续性OD的参与者使用Sniffin' Sticks进行了神经认知查和嗅觉测试 (门,UI和提示识别[PI]) .
- 使用分层线性混合效应模型来分析神经认知变量对嗅觉测试表现的影响,控制人口统计和嗅觉值.
主要成果:
- UI和PI的嗅觉测试都显示了对全球认知 (蒙特利尔认知评估 (MoCA)) 和执行功能 (数字间隔向后) 的显著依赖.
- 用户界面表现进一步由逻辑记忆,语言流性和数字跨度向前解释,这表明了更广泛的神经认知参与.
- 这些关联在考虑到人口因素和嗅觉敏感性后仍然具有统计学意义.
结论:
- 非提示识别 (UI) 和提示识别 (PI) 嗅觉测试在长期COVID-19患者的神经认知上取决于全球认知和执行功能.
- 用户界面任务依赖于情节性,语义和工作记忆,这表明它作为补充认知查工具的实用性.
- 将UI评估整合到临床嗅觉评估中可能有助于识别COVID-19持续影响的个体的认知障碍.
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