Department of Neurology, Center for Alzheimer's Care, Imaging, and Research, University of Utah, Salt Lake City, UT, USA.
Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Arch Clin Neuropsychol. 2022 Jan 17;37(1):78-90. doi: 10.1093/arclin/acab023.
The learning ratio (LR) is a novel learning slope score that has been developed to reduce the inherent competition between the first trial and subsequent trials in traditional learning slopes. In essence, the LR is the number of items learned after the first trial divided by the number of items yet to be learned. Criterion and convergent validation of this LR score is warranted to understand its sensitivity along the Alzheimer's disease (AD) continuum.
The LR metric was calculated for 123 participants from standard measures of memory, including the Hopkins Verbal Learning Test-Revised, Brief Visuospatial Memory Test-Revised, Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) list learning, and RBANS story memory. All participants were categorized as normal cognition, mild cognitive impairment (MCI), or AD. LR performances were compared between groups, among other standard memory measures, and with regards to how well they discriminated cognitively impaired from unimpaired samples-and within diagnostic subgroups.
Lower LR scores were observed for the MCI and AD groups than the normal cognition group, with the AD group performing worse than the MCI group for several slope calculations. Lower LR scores were also consistently associated with poorer performances on traditional memory measures. LR scores further displayed excellent receiver operator characteristics when differentiating those with and without cognitive impairment-and MCI from normal cognition. Overall, LR scores consistently outperformed traditional learning slope calculations across all analyses.
This LR score is sensitive to memory dysfunction along the AD continuum, and results offer criterion and convergent validity for use of the LR metric to understand learning capacity.
学习率(LR)是一种新颖的学习斜率评分,旨在减少传统学习斜率中首次尝试与后续尝试之间固有的竞争。从本质上讲,LR 是首次尝试后学习的项目数除以尚未学习的项目数。为了了解其在阿尔茨海默病(AD)连续体中的敏感性,需要对该 LR 评分进行标准和收敛验证。
从记忆的标准测量中计算了 123 名参与者的 LR 指标,包括霍普金斯言语学习测试修订版、简明视觉空间记忆测试修订版、重复性神经心理状态评估电池(RBANS)列表学习和 RBANS 故事记忆。所有参与者均被归类为正常认知、轻度认知障碍(MCI)或 AD。LR 表现与组间、其他标准记忆测量值以及它们在区分认知障碍和非认知障碍样本方面的表现进行了比较,并在诊断亚组内进行了比较。
与正常认知组相比,MCI 和 AD 组的 LR 得分较低,AD 组的多项斜率计算结果均差于 MCI 组。LR 得分也与传统记忆测量值较差的表现始终相关。LR 得分在区分有认知障碍和无认知障碍的个体以及 MCI 与正常认知方面进一步显示出出色的接收者操作特征。总体而言,LR 得分在所有分析中均优于传统学习斜率计算。
该 LR 评分对 AD 连续体中的记忆功能障碍敏感,并且结果为使用 LR 指标来了解学习能力提供了标准和收敛验证。