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阿尔茨海默氏症成像联盟

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

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概括
此摘要是机器生成的。

一个数字的Trail Making Test-Part B (dTMT-B) 有效地区分轻度认知障碍 (MCI) 与正常认知 (NC),使用新的过程指标. 该dTMT-B中风指数对于对患有认知变化的患者进行分类特别有用.

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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
  • 数字健康数字健康

背景情况:

  • 传统的步道制作测试B部分 (TMT-B) 评估神经认知和运动技能.
  • 数字版本 (dTMT-B) 为增强评估提供了新的过程指标.
  • 区分轻度认知障碍 (MCI) 和正常认知 (NC) 对于早期干预至关重要.

研究的目的:

  • 从数字TMT-B (dTMT-B) 中分析新的过程指标.
  • 使用dTMT-B指标将MCI患者与NC患者区分开来.
  • 探索dTMT-B指标与传统的神经心理测试之间的关系.

主要方法:

  • 58名记忆诊所患者被归类为MCI或NC.
  • 收集了六个dTMT-B过程指标:完成时间,击中时间,笔笔,距离,速度和效率.
  • 统计分析包括MANOVA,多项回归和部分相关性.

主要成果:

  • 与NC患者相比,MCI患者年龄较大,受教育程度较低,MMSE得分较低.
  • 患有MCI的患者的总和命中持续时间显著减慢,并且产生了更多的笔触和更长的总距离.
  • "dTMT-B中风指数是对患者进行分类的最有效的单一指标.
  • dTMT-B时间和中风指数与注意力,工作记忆和语言测试相关.

结论:

  • 测量时间和运动操作的新型dTMT-B指数可能可以将MCI与NC区分开来.
  • 该dTMT-B中风指数显示,它有望对认知障碍进行分类.
  • 需要进一步的研究来验证这些dTMT-B指数用于检测早期认知衰退.