Bellitti Matteo, Lauber Meagan V, Searls Edward, Lin Honghuang, Au Rhoda, Kolachalama Vijaya B
Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Division of Graduate Medical Sciences, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Alzheimers Dement. 2025 Sep;21(9):e70644. doi: 10.1002/alz.70644.
Digital cognitive assessments offer a promising approach to monitoring cognitive impairments, but repeated use can introduce practice effects, potentially masking changes in cognitive status. We evaluated practice effects using the Defense Automated Neurobehavioral Assessment (DANA), a digital battery designed for cognitive monitoring.
We analyzed data from 116 participants from the Boston University Alzheimer's Disease Research Center, comparing response times across two DANA sessions, around 90 days apart, while controlling for cognitive status, sex, age, and education.
Modest practice effects were found, and cognitive impairment was associated with slower response times in several tasks. Classification models, including logistic regression and random forest classification, achieved accuracies of up to 71% in assessing cognitive status.
Our study establishes a framework for evaluating practice effects in digital cognitive assessment tools. Future work should expand the sample size and diversity to enhance the generalizability of findings in broader clinical contexts.
We systematically evaluated practice effects using the DANA battery as a case study. Modest practice effects were observed across two testing sessions, with a median inter-session interval of 93 days. Cognitive impairment was significantly associated with slower response times in key tasks (p < 0.001). Our framework offers a systematic approach for evaluating practice effects in digital cognitive tools.
数字认知评估为监测认知障碍提供了一种很有前景的方法,但重复使用可能会产生练习效应,从而可能掩盖认知状态的变化。我们使用国防自动化神经行为评估(DANA)来评估练习效应,DANA是一种用于认知监测的数字测试组合。
我们分析了来自波士顿大学阿尔茨海默病研究中心的116名参与者的数据,比较了相隔约90天的两次DANA测试的反应时间,同时控制了认知状态、性别、年龄和教育程度。
发现存在适度的练习效应,并且认知障碍与几个任务中较慢的反应时间相关。包括逻辑回归和随机森林分类在内的分类模型在评估认知状态时的准确率高达71%。
我们的研究建立了一个评估数字认知评估工具中练习效应的框架。未来的工作应扩大样本量和多样性,以提高研究结果在更广泛临床背景下的可推广性。
我们以DANA测试组合为案例研究,系统地评估了练习效应。在两次测试中观察到适度的练习效应,测试间隔的中位数为93天。认知障碍与关键任务中较慢的反应时间显著相关(p < 0.001)。我们的框架为评估数字认知工具中的练习效应提供了一种系统方法。