使用数字虚拟现实认知测试检测阿尔茨海默病
Lili Fang1, Xiang Fan2, Anqi Li1,3
1Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
人工智能 (AI) 辅助的虚拟现实 (VR) 认知测试与阿尔茨海默病 (AD) 生物标志物有很强的相关性. 这个5分钟的数字工具提供了一个可靠的方法,用于在社区环境中早期检测AD.
科学领域:
- 神经科学是一个神经科学.
- 生物标志物 生物标志物
- 数字健康数字健康
背景情况:
- 用于阿尔茨海默病 (AD) 检测的数字生物标志物在准确性和与AD病理核心相关性方面面临挑战.
- 目前用于AD诊断的现有方法可能是侵入性的或昂贵的.
研究的目的:
- 评估人工智能 (AI) 辅助虚拟现实 (VR) 认知得分与已确定的AD生物标志物之间的关联.
- 评估一种新的AI-VR认知测试的有效性,用于识别认知障碍和AD病理.
主要方法:
- 在这项研究中招募了428名中国老年人.
- 利用通用线性模型分析AI-VR认知得分与血生物标志物 (Aβ42/Aβ40,p-tau217,GFAP,NfL),Aβ PET,tau PET和神经成像标志物之间的关联.
- 对包括年龄,性别,教育和非脂蛋白E ε4状态在内的共变量进行控制.
主要成果:
- AI-VR认知得分与关键的AD生物标志物有显著的相关性,包括血Aβ42/Aβ40,p-tau217,GFAP,NfL和PET成像结果.
- 人工智能-虚拟现实测试在区分认知障碍者和正常人方面表现出高准确度 (AUC:0.908-0.969).
- 该测试还有效地分类了对粉样β正子辐射断层扫描 (AUC:0.771-0.991) 呈阳性个体.
结论:
- 一个5分钟的AI-VR认知测试显示了作为早期AD检测的可靠数字标记物的巨大潜力.
- 这个数字工具可以识别异常认知,并在社区环境中与AD核心生物标志物相关联.
- 人工智能-VR认知测试为AD查和诊断提供了一个有前途的非侵入性方法.
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