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临床表现 临床表现

Jason J Hassenstab1, Matthew S Welhaf2

  • 1Washington University in St. Louis, St. Louis, MO, USA.

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概括
此摘要是机器生成的。

在症状出现之前,数字认知评估可以检测早期阿尔茨海默病 (AD) 变化. 这些远程,频繁的测试揭示了传统方法错过的认知变异性和学习缺陷,有助于早期AD检测和预防试验.

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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 生物医学工程 生物医学工程

背景情况:

  • 临床前阿尔茨海默氏症 (AD) 缺乏明显的认知症状,这使得早期发现具有挑战性.
  • 传统的认知测试对微妙的,症状前的认知变化提供了有限的见解.
  • 数字认知评估的进步使得高频,远程数据收集成为可能.

研究的目的:

  • 突出数字认知方法如何检测临床前阿尔茨海默病 (AD) 变化,而传统测试无法检测.
  • 为了证明远程,高频认知评估的实用性,以了解AD对认知的影响.
  • 探索数字评估作为AD预防试验中的新成果的潜力.

主要方法:

  • 使用远程数字认知评估,随着时间的推移频繁地进行认知评估.
  • 分析数据的结构,如人内变化,学习和忘记率等.
  • 将数字评估结果与临床内测试和已确定的阿尔茨海默病 (AD) 生物标志物相关联.

主要成果:

  • 老年人成功地参与远程数字研究,产生有效和可靠的认知变化估计.
  • 具有遗传风险或AD生物标志物升高的个体表现出增加的认知变异性 (日复一日,日复一日,瞬间).
  • 生物标志物阳性参与者显示学习减少和忘记率增加,表明临床前AD认知缺陷.

结论:

  • 数字认知评估对临床前阿尔茨海默病 (AD) 很敏感.
  • 高频,远程测试捕获了超越传统评估的临床意义上的认知构造.
  • 这些数字方法为AD预防和治疗研究提供了新的结果措施.