检查在轻度认知障碍中跨域和域内个体内变量的稳定性和预测效用
Libby A DesRuisseaux1, Jasmin E Guevara1, Kevin Duff2,3
1Department of Psychology, University of Utah, Salt Lake City, UT 84112, USA.
概括
跨域分散,这是认知变化的衡量标准,预测轻度认知障碍 (MCI) 患者的认知能力微弱下降. 这种变化随着时间的推移而稳定,但不能预测转化为痴呆症.
科学领域:
- 神经心理学 神经心理学
- 认知神经科学 认知神经科学
- 神经学 神经学
背景情况:
- 神经心理测试中的个人内变异性,称为分散,可以预测认知能力下降.
- 关于跨域和域内分散的稳定性和预测价值的研究有限.
研究的目的:
- 研究跨域和域内分散在轻度认知障碍 (MCI) 个体的纵向样本中的稳定性和预测效用.
- 检查分散指数在预测MCI群体内的认知衰退.
主要方法:
- 对238名MCI患者的长度研究,在基线和1.5年后进行评估.
- 线性回归分析了预测认知衰退的基线分散 (二分和连续测量).
- 认知衰退通过诊断转换为痴呆症和基于标准化的回归 (SRB) 的z-score来运行.
主要成果:
- 分散度的测量通常是稳定的,并且随着时间的推移有相关性.
- 没有分散变量预测转化为痴呆症.
- 更大的跨域分散预测了更大的整体认知衰退 (SRB z-scores),与大多数域内措施不同.
结论:
- 在MCI患者中,跨域和域内分散相对稳定.
- 跨域分散预测了微妙的认知衰退,但不是痴呆症转化.
- 神经心理学测试的选择会影响分散的发现.
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