在阿尔茨海默病的典型和非典型变体中的多维认知缺陷
Shalom K Henderson1,2, Alexander G Murley3,4, Thomas E Cope5,3,4
1Medical Research Council (MRC) Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK. Shalom.Henderson@mrc-cbu.cam.ac.uk.
Alzheimer's research & therapy
|October 17, 2025
概括
阿尔茨海默氏病 (AD) 现型,包括典型的AD (tAD),logopenic变体PPA (lvPPA) 和后皮层缩 (PCA),存在于一个分级的光谱,而不是作为不同的类别. 在lvPPA的认知衰退表明了随着时间的推移的多维模式.
科学领域:
- 神经科学是一个神经科学.
- 认知神经学 认知神经学
- 老年学是指老年学的学科.
背景情况:
- 阿尔茨海默氏病 (AD) 包含各种表型,包括典型的失忆性AD (tAD),逻辑变异性初级渐进性失语症 (lvPPA) 和后皮层缩 (PCA).
- 这些AD亚型之间的临床和病理区别仍在争论中,正在进行的研究探索它们是否代表离散实体或连续.
研究的目的:
- 调查阿尔茨海默病 (AD) 现型是否代表一个分级的多维空间内的独特的临床实体或位置.
- 将tAD,lvPPA和PCA的认知表现进行比较,并分析认知模式的纵向变化及其与大脑结构的关联.
主要方法:
- 对413名患有tAD,lvPPA和PCA的参与者的认知数据进行了回顾性分析.
- 18名lvPPA和9名tAD患者的潜在深度表型,纵向评估认知表现和大脑结构 (灰质体积).
- 认知测量和贝叶斯线性回归的主要组成部分分析 (PCA) 探索认知得分和大脑体积之间的关联.
主要成果:
- 临床层面的评估揭示了AD表型 (tAD,lvPPA,PCA) 的认知障碍的分级区别和重叠.
- lvPPA和tAD患者表现出类似的记忆缺陷,而lvPPA患者表现出随着时间推移的多维认知衰退模式.
- 语言和记忆网络中的灰质量与PCA衍生的认知得分有关.
结论:
- 这些发现支持AD的跨诊断,多维表型几何学,包括典型和非典型的亚型.
- 认知特征的分级区别和重叠表明AD表型的连续性而不是离散类别.
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