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VisMET:一种用于健康老龄化、轻度认知障碍和阿尔茨海默病患者的被动、高效、敏感的视空间记忆评估方法。

VisMET: a passive, efficient, and sensitive assessment of visuospatial memory in healthy aging, mild cognitive impairment, and Alzheimer's disease.

机构信息

Department of Neurology, Emory University, Atlanta, Georgia 30312, USA.

Georgia Tech Research Institute, Georgia Tech, Atlanta, Georgia 30318, USA.

出版信息

Learn Mem. 2019 Feb 15;26(3):93-100. doi: 10.1101/lm.048124.118. Print 2019 Mar.

DOI:10.1101/lm.048124.118
PMID:30770466
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6380203/
Abstract

The entorhinal-hippocampal circuit is one of the earliest sites of cortical pathology in Alzheimer's disease (AD). Visuospatial memory paradigms that are mediated by the entorhinal-hippocampal circuit may offer a means to detect memory impairment during the early stages of AD. In this study, we developed a 4-min visuospatial memory paradigm called VisMET (Visuospatial Memory Eye-Tracking Task) that passively assesses memory using eye movements rather than explicit memory judgements. We had 296 control or memory-impaired participants view a set of images followed by a modified version of the images with either an object removed, or a new object added. Healthy controls spent significantly more time viewing these manipulations compared to subjects with mild cognitive impairment and AD. Using a logistic regression model, the amount of time that individuals viewed these manipulations could predict cognitive impairment and disease status with an out of sample area under the receiver-operator characteristic curve of 0.85. Based on these results, VisMET offers a passive, sensitive, and efficient memory paradigm capable of detecting objective memory impairment and predicting cognitive and disease status.

摘要

内侧颞叶-海马回路是阿尔茨海默病(AD)皮质病理学最早的部位之一。由内侧颞叶-海马回路介导的视空间记忆范式可能提供了一种在 AD 早期检测记忆障碍的方法。在这项研究中,我们开发了一种 4 分钟的视空间记忆范式,称为 VisMET(视空间记忆眼动追踪任务),它通过眼动而不是明确的记忆判断来被动评估记忆。我们有 296 名对照或记忆受损的参与者观看一组图像,然后是修改后的图像版本,其中一个对象被移除,或者添加了一个新对象。与轻度认知障碍和 AD 患者相比,健康对照组观看这些操作的时间明显更长。使用逻辑回归模型,个体观看这些操作的时间量可以预测认知障碍和疾病状态,样本外受试者工作特征曲线下的面积为 0.85。基于这些结果,VisMET 提供了一种被动、敏感和高效的记忆范式,能够检测到客观的记忆障碍,并预测认知和疾病状态。

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