生物标志物 生物标志物
Karen Blackmon1,2,3, Levi A Muyela3, Johannes Tröger4
1Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
数字语义语言流性 (SVF) 测试可以准确地检测肯尼亚老年人的痴呆症. 这种自动化,多语言的工具显示出在多样化,低资源环境中可访问的认知查的希望.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 公共卫生 公共卫生
背景情况:
- 非洲的痴呆症诊断受到多语言和低识字程度的挑战.
- 现有的认知工具在非洲人群中缺乏验证.
- 语义语言流 (SVF) 可以适应各种语言和识字背景.
研究的目的:
- 评估数字化,自动化的语义语言流性 (SVF) 测试,以检测肯尼亚老年人的痴呆症.
- 在多语言SVF任务中评估实践效应的诊断价值.
- 为了确定在低资源环境中对SVF的自动评分系统的准确性.
主要方法:
- 招募了24名认知正常的肯尼亚老年人和24名被诊断患有痴呆症的肯尼亚老年人.
- 连续两个60秒的数字SVF任务 (动物命名) 进行了语言切换.
- 使用自动语音分析 (ki:elements' SIGMA) 来进行评分和特征提取.
主要成果:
- 在两项SVF试验中都观察到单词数的显著群体差异,在第二项试验中差距更大.
- 试验中的表现变化表明了对照组的实践效应和痴呆症组的改善.
- 后勤回归证明了高的区分能力 (ROC-AUC = .85 在试验1, .89 在试验2).
结论:
- 一个自动得分的多语言数字SVF测试可靠地检测肯尼亚老年人的痴呆症.
- 数字SVF是一个有希望的,在文化上适应的工具,用于在低资源的多语言环境中快速进行认知查.
- 这种方法可以提高痴呆症诊断的可访问性,并促进非洲的包容性临床研究.
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