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阿尔茨海默氏症成像联盟

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。

一个缩短的数字步道测试-B部分通过测量在目标上花费的时间,与注意力和记忆力缺陷相关联,有效地选轻度认知障碍 (MCI). 这个数字工具有助于早期发现阿尔茨海默病.

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科学领域:

  • 神经学 神经学
  • 认知科学 认知科学
  • 数字健康数字健康

背景情况:

  • 对阿尔茨海默病 (AD) 的新兴单克隆抗体治疗需要对轻度认知障碍 (MCI) 进行早期查.
  • 新型数字化Trail Making Test-Part B (dTMT-B) 的指标在区分MCI与正常认知 (NC) 方面表现有前途.

研究的目的:

  • 开发和验证一个缩写的dTMT-B用于查MCI与NC.
  • 探索缩写的dTMT-B和传统的神经心理测试之间的关系.

主要方法:

  • 对58名记忆诊所患者 (MCI与NC) 进行了缩写的dTMT-B (目标1-F).
  • 过程指标包括击中时间,距离和笔冲速度.
  • 统计分析 (ANOVA,部分相关性) 控制年龄,教育和性别.

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 (r=-0.724),工作记忆 (r=-0.520) 和情节性记忆 (r=-0.411) 的表现较差相关.
  • 对于距离或速度,没有发现显著差异.

结论:

  • 一个缩写的数字TMT-B为认知评估提供了新的过程指标.
  • 这种缩短的数字测试是选新出现的认知障碍的通用工具,有助于早期AD诊断.