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临床表现 临床表现

W Yembe Njamnshi1,2, Konstantinos Chiotis3, Elena Tsoy1,4

  • 1Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA.

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概括
此摘要是机器生成的。

数字认知测试,即基于平板电脑的认知评估工具 (TabCAT),对早期发病的阿尔茨海默病 (EOAD) 的早期检测充满希望. TabCAT测量与传统测试相关,并识别阿尔茨海默病的生物标志物,如粉样蛋白和蛋白PET.

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科学领域:

  • 神经科学是一个神经科学.
  • 老年学是一门学科.
  • 数字健康数字健康

背景情况:

  • 早期发病的阿尔茨海默氏症 (EOAD) 由于年轻,症状多样化和进展迅速,因此存在诊断挑战.
  • 数字认知评估为早期EOAD检测提供了传统测试的可扩展替代方案.
  • 基于UCSF平板电脑的认知评估工具 (TabCAT) 与临床和生物标志物数据进行了评估.

研究的目的:

  • 评估TabCAT认知测试与传统神经心理测试的有效性.
  • 根据粉样β (Aβ) PET状态来确定TabCAT在区分阿尔茨海默病 (AD) 患者的能力.
  • 在EOAD患者中调查TabCAT性能和tau PET成像之间的关联.

主要方法:

  • TabCAT (执行功能/注意力和视觉空间测试) 给了83名对照组和392名EOAD患者.
  • 使用排序系数分析TabCAT和纸笔测试之间的相关性.
  • 用于评估Aβ-PET阳性歧视的接收器操作特征 (ROC) 分析.
  • 在Voxel-wise分析中,研究了Aβ阳性患者的TabCAT得分和tau PET之间的关联.

主要成果:

  • TabCAT执行功能测试 (匹配,侧翼) 与已建立的认知测试 (MMSE,MoCA,Trails A) 有着强烈的相关性.
  • 视觉空间TabCAT测试 (线长,线向) 与视觉空间任务 (本森图片复制,轨道A) 相相关.
  • 匹配测试最好地区分了Aβ阳性和Aβ阴性患者 (AUC=0.82),表现优于MMSE和MoCA.
  • TabCAT执行功能测试与皮层区域的tau PET相关;视觉空间测试与尾的tau PET相关.

结论:

  • TabCAT 证明了与传统的认知评估具有良好的并发有效性.
  • TabCAT分数与阿尔茨海默病的关键生物标志物相关:粉样蛋白-β PET阳性和特定的tau PET模式.
  • 这些数字认知措施显示了早期识别和诊断EOAD的巨大潜力.