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临床表现 临床表现

Ileana De Anda-Duran1, Phillip H Hwang2, Elizabeth Leverant3

  • 1Celia Scott Weatherhead Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.

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概括
此摘要是机器生成的。

一个缩写的数字Trail Making Test-Part B通过测量在目标上花费的时间,有效地选轻度认知障碍 (MCI),帮助早期发现阿尔茨海默病.

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科学领域:

  • 神经科学是一个神经科学.
  • 认知心理学 认知心理学
  • 医疗技术 医疗技术 医学技术

背景情况:

  • 对阿尔茨海默病 (AD) 的新兴单克隆抗体治疗需要早期识别轻度认知障碍 (MCI).
  • 数字痕迹测试-B部分 (dTMT-B) 新型指标在区分MCI与正常认知 (NC) 中显示出希望.

研究的目的:

  • 评估缩写的dTMT-B在区分MCI和NC的有效性.
  • 探索缩短的dTMT-B表现与传统的神经心理测试之间的关系.

主要方法:

  • 开发了一个缩写的dTMT-B,专注于测试的前半部分.
  • 从58名被归类为MCI或NC的记忆诊所患者收集数据.
  • 分析过程指标:击中时间,距离和速度.

主要成果:

  • 与NC患者相比,MCI患者的命中持续时间较长 (p < 0.004).
  • 较长的命中持续时间与注意力,工作记忆和情节性记忆测试中的表现较差相关.
  • 对于总距离或笔动速度没有发现显著差异.

结论:

  • 一个缩写的数字Trail Making Test-Part B提供了新的基于过程的认知评估指标.
  • 这个缩写版本提供了一个多功能工具,用于选新出现的认知障碍.