Liu Yilin, Sundman Mark H, Hinderaker Dalen, Yu-Chin Chen Allison, Green Jacob M, Haaheim Lisbeth G, Siu Hannah M, Jezerc Catherine, Lai Kaitlyn, Chen Carol, Guss Parker, Chou Ying-Hui
Brain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Department of Psychology, University of Arizona, Tucson, AZ, United States.
Front Aging Neurosci. 2025 Jul 28;17:1592678. doi: 10.3389/fnagi.2025.1592678. eCollection 2025.
The shift toward earlier detection in the Alzheimer's disease (AD) continuum underscores the need for more sensitive cognitive outcome assessments (COAs). Traditional COAs may lack precision in capturing cognitive dysfunction during preclinical stages. The Face-Name Associative Memory Exam (FNAME), a cross-modal task that integrates verbal and non-verbal memory, offers enhanced sensitivity and has shown associations with amyloid-β burden across the AD continuum, even in asymptomatic older adults.
This manuscript reports on two experiments, broadening insights into this promising COA. Experiment 1 (descriptive observational, repeated-measures design) ( = 85) evaluates the alternate form reliability of a modified FNAME (mFNAME) by serially administering eight distinct versions of the task, revealing good reliability for mFNAME metrics and the absence of significant practice effects. Experiment 2 (cross-sectional observational design) ( = 32) examines structural and functional network topology to investigate neural correlates of mFNAME performance in non-demented older adults.
Experiment 1 demonstrated good alternate form reliability with no significant practice effect. Experiment 2 revealed significant associations between mFNAME performance and network properties like global efficiency, local efficiency, and system segregation in the default mode network (DMN) and medial temporal network (MTN). Subsequent analyses into more granular elements of the MTN and DMN revealed latent variables accounting for up to 44% of the covariance in mFNAME performance.
These findings deepen the understanding of the FNAME's psychometric properties and the neural correlates underlying task performance, providing insights into its utility as a sensitive COA early in the continuum of AD and related dementias.
在阿尔茨海默病(AD)连续体中朝着早期检测的转变凸显了对更敏感的认知结果评估(COA)的需求。传统的COA在捕捉临床前阶段的认知功能障碍方面可能缺乏精确性。面孔-名字联想记忆测验(FNAME)是一项整合了言语和非言语记忆的跨模态任务,具有更高的敏感性,并且在整个AD连续体中,甚至在无症状的老年人中,都显示出与淀粉样蛋白-β负荷相关。
本手稿报告了两项实验,拓宽了对这一有前景的COA的认识。实验1(描述性观察,重复测量设计)(n = 85)通过连续进行八个不同版本的任务来评估改良版FNAME(mFNAME)的替代形式可靠性,结果显示mFNAME指标具有良好的可靠性,且不存在显著的练习效应。实验2(横断面观察设计)(n = 32)检查结构和功能网络拓扑,以研究非痴呆老年人中mFNAME表现的神经相关性。
实验1显示出良好的替代形式可靠性,且无显著的练习效应。实验2揭示了mFNAME表现与默认模式网络(DMN)和内侧颞叶网络(MTN)中的全局效率、局部效率和系统分离等网络属性之间存在显著关联。随后对MTN和DMN更细粒度元素的分析发现,潜在变量占mFNAME表现协方差的比例高达44%。
这些发现加深了对FNAME心理测量特性以及任务表现背后神经相关性的理解,为其在AD及相关痴呆连续体早期作为敏感COA的效用提供了见解。