更高的粉样蛋白和负担与数字认知测试中的更快衰退有关
Jessie Fanglu Fu1, Talia Robinson2, Marina Rodriguez Alonso1
1Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Annals of clinical and translational neurology
|November 10, 2025
概括
数字时钟绘图测试可以检测早期阿尔茨海默病 (AD) 的变化. 数字时钟绘图性能的纵向下降与临床前阿尔茨海默病中的粉样β和负担相关.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 生物标志物 生物标志物
背景情况:
- 数字时钟绘图测试 (DCTclock) 比传统方法提供了对认知过程的更详细的见解.
- 以前的研究将较差的DCT时钟性能与认知正常个体中较高的粉样β (Aβ) 和蛋白水平联系起来.
- 在临床前阶段早期发现阿尔茨海默病 (AD) 病理对于干预至关重要.
研究的目的:
- 调查DCT时钟表表现的纵向变化与临床前AD患者的Aβ和tau负担之间的关联.
- 为了确定数字认知测试是否可以跟踪早期AD的疾病进展.
- 探索特定的DCT时钟特征与AD生物标志物之间的关系.
主要方法:
- 219名认知正常的参与者接受了连续DCT时钟评估和基线Aβ和tauPET成像.
- 使用线性混合模型分析了纵向DCT时钟性能与Aβ/tau负荷之间的关联.
- 分析了认知领域的性能和细粒度的DCT时钟特征,例如笔动延迟.
主要成果:
- 基线Aβ或tau负荷升高与DCT时钟性能的更快下降有关,特别是在信息处理领域.
- 陶荷载与DCT时钟性能下降的关联比Aβ荷载更强.
- 与笔中风延迟相关的特征是这些关联的关键驱动因素,没有生物标志物证据的参与者显示实践效应.
结论:
- 在DCT时钟性能,特别是信息处理的速度和执行功能方面,长度下降与临床前AD的早期Aβ和tau积累有关.
- 数字认知评估工具在阿尔茨海默病临床试验中显示出对监测疾病进展和评估治疗有效性的前景.
- DCTclock的细粒度分析能力对于识别阿尔茨海默病早期最微妙的认知变化非常有价值.
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