Suppr超能文献

验证 HVLT-R、BVMT-R 和 RBANS 学习斜率评分在阿尔茨海默病连续体中的表现。

Validation of HVLT-R, BVMT-R, and RBANS Learning Slope Scores along the Alzheimer's Continuum.

机构信息

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.

出版信息

Arch Clin Neuropsychol. 2022 Jan 17;37(1):78-90. doi: 10.1093/arclin/acab023.

Abstract

BACKGROUND

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.

METHOD

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

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。

方法

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。

结果

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。

结论

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。

相似文献

3
Relationship between a novel learning slope metric and Alzheimer's disease biomarkers.新型学习斜率指标与阿尔茨海默病生物标志物的关系。
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2022 Sep;29(5):799-819. doi: 10.1080/13825585.2021.1919984. Epub 2021 May 5.

引用本文的文献

7
Learning slopes in early-onset Alzheimer's disease.早发性阿尔茨海默病中的学习斜率。
Alzheimers Dement. 2023 Nov;19 Suppl 9(Suppl 9):S19-S28. doi: 10.1002/alz.13159. Epub 2023 May 27.

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验