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相关概念视频

Dementia01:30

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Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
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相关实验视频

Updated: Jan 7, 2026

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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
PubMed
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.

关键词:
阿尔茨海默病的疾病阿尔茨海默病的疾病.生物标志物生物标志物诊断 诊断 诊断 诊断 诊断 诊断数字认知测试是一种数字认知测试.

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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.