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自然评估法评估老年阿尔茨海默病高危人群的反应时变异。

Naturalistic assessment of reaction time variability in older adults at risk for Alzheimer's disease.

机构信息

Department of Psychological & Brain Sciences, Washington University in St. Louis. St. Louis, MO, USA.

Department of Neurology. Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.

出版信息

J Int Neuropsychol Soc. 2024 Jun;30(5):428-438. doi: 10.1017/S1355617723011475. Epub 2024 Jan 29.


DOI:10.1017/S1355617723011475
PMID:38282413
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11078617/
Abstract

OBJECTIVE: Maintaining attention underlies many aspects of cognition and becomes compromised early in neurodegenerative diseases like Alzheimer's disease (AD). The consistency of maintaining attention can be measured with reaction time (RT) variability. Previous work has focused on measuring such fluctuations during in-clinic testing, but recent developments in remote, smartphone-based cognitive assessments can allow one to test if these fluctuations in attention are evident in naturalistic settings and if they are sensitive to traditional clinical and cognitive markers of AD. METHOD: Three hundred and seventy older adults (aged 75.8 +/- 5.8 years) completed a week of remote daily testing on the Ambulatory Research in Cognition (ARC) smartphone platform and also completed clinical, genetic, and conventional in-clinic cognitive assessments. RT variability was assessed in a brief (20-40 seconds) processing speed task using two different measures of variability, the Coefficient of Variation (CoV) and the Root Mean Squared Successive Difference (RMSSD) of RTs on correct trials. RESULTS: Symptomatic participants showed greater variability compared to cognitively normal participants. When restricted to cognitively normal participants, APOE ε4 carriers exhibited greater variability than noncarriers. Both CoV and RMSSD showed significant, and similar, correlations with several in-clinic cognitive composites. Finally, both RT variability measures significantly mediated the relationship between APOE ε4 status and several in-clinic cognition composites. CONCLUSIONS: Attentional fluctuations over 20-40 seconds assessed in daily life, are sensitive to clinical status and genetic risk for AD. RT variability appears to be an important predictor of cognitive deficits during the preclinical disease stage.

摘要

目的:注意力的维持是认知的多个方面的基础,并且在阿尔茨海默病(AD)等神经退行性疾病的早期就会受到损害。维持注意力的一致性可以通过反应时间(RT)的可变性来衡量。以前的工作主要集中在对临床测试中的这些波动进行测量,但最近在远程智能手机认知评估方面的进展可以让人们测试这些注意力波动是否在自然环境中明显,以及它们是否对 AD 的传统临床和认知标志物敏感。

方法:370 名老年人(年龄 75.8 +/- 5.8 岁)在 Ambulatory Research in Cognition(ARC)智能手机平台上进行了一周的远程日常测试,还完成了临床、遗传和传统的临床认知评估。使用两种不同的变异性度量(变异系数(CoV)和 RT 正确试验的均方根连续差异(RMSSD)),在一个简短(20-40 秒)的处理速度任务中评估 RT 可变性。

结果:有症状的参与者比认知正常的参与者表现出更大的变异性。当仅限于认知正常的参与者时,APOE ε4 携带者的变异性大于非携带者。CoV 和 RMSSD 均与多个临床认知综合指标显著相关,且具有相似的相关性。最后,两种 RT 变异性测量均显著介导了 APOE ε4 状态与几个临床认知综合指标之间的关系。

结论:日常生活中 20-40 秒内评估的注意力波动对临床状况和 AD 的遗传风险敏感。RT 变异性似乎是临床前疾病阶段认知缺陷的一个重要预测指标。

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[8]
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[9]
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[10]
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本文引用的文献

[1]
Antecedents of mind wandering states in healthy aging and mild cognitive impairment.

Neuropsychology. 2024-7

[2]
A Nomothetic Span Approach to the Construct Validation of Sustained Attention Consistency: Re-Analyzing Two Latent-Variable Studies of Performance Variability and Mind-Wandering Self-Reports.

Psychol Res. 2024-2

[3]
Relationships between hourly cognitive variability and risk of Alzheimer's disease revealed with mixed-effects location scale models.

Neuropsychology. 2024-1

[4]
Unsupervised high-frequency smartphone-based cognitive assessments are reliable, valid, and feasible in older adults at risk for Alzheimer's disease.

J Int Neuropsychol Soc. 2023-6

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Sharper in the morning: Cognitive time of day effects revealed with high-frequency smartphone testing.

J Clin Exp Neuropsychol. 2021-10

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Variability in Cognitive Performance on Mobile Devices Is Sensitive to Mild Cognitive Impairment: Results From the Einstein Aging Study.

Front Digit Health. 2021-12-3

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Alzheimers Dement (Amst). 2020-8-10

[8]
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Perspect Psychol Sci. 2020-9

[9]
Longitudinal changes in response time mean and inconsistency exhibit predictive dissociations for risk of cognitive impairment.

Neuropsychology. 2020-3

[10]
Raincloud plots: a multi-platform tool for robust data visualization.

Wellcome Open Res. 2021-1-21

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