Enhanced Screening for Preclinical Cognitive Vulnerability Using Target-Specific Dwelling Time in the Digital Trail Making Test Part A-A Pilot Study.

Shigeya Tanaka, Tetsuya Yamagami
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Abstract

Background: Community-based cognitive screening requires efficient, low-burden tools. We examined "dwelling time" (time spent by the pen-tip on a specific target) during the digital Trail Making Test (TMT)-A as a potential marker for early cognitive changes.

Method: In this cross-sectional study, we included 91 community-dwelling older adults (mean age 74.4 y) classified into low Memory Performance Index (MPI) (preclinical decline, score <50.2, n=35) and normal groups (n=56). Using a tablet and stylus, dwelling times during digital TMT-A were analyzed, focusing on 5 high-interference targets most strongly associated with MPI.

Results: The low MPI group had significantly longer dwelling times at the identified targets. In regression models, the sum of these dwelling times independently predicted MPI (β=-0.200, P=0.020), whereas conventional total completion time did not (β=-0.132, P=0.157). Adding this dwelling time metric to a demographic-based model improved the area under the curve (AUC) from 0.818 to 0.845.

Conclusions: For preclinical stages, dwelling time at specific targets is a more sensitive marker of cognitive decline than total completion time. This digital pen-tip behavioral analysis provides a quick, accurate, and low-stress screening tool for preclinical cognitive vulnerability in primary care.

基于目标特异性停留时间的临床前认知易感性筛查在数字轨迹制作测试部分A-A试点研究中
背景:基于社区的认知筛查需要高效、低负担的工具。我们检查了“停留时间”(笔尖在特定目标上花费的时间)在数字轨迹制造测试(TMT)-A中作为早期认知变化的潜在标记。方法:在这项横断研究中,我们纳入了91名社区居住的老年人(平均年龄74.4岁),这些老年人被分类为低记忆表现指数(MPI)(临床前下降,评分)。结果:低MPI组在识别目标上的停留时间明显更长。在回归模型中,这些居住时间的总和独立预测MPI (β=-0.200, P=0.020),而传统的总完成时间没有(β=-0.132, P=0.157)。将此居住时间指标添加到基于人口统计学的模型中,可以将曲线下面积(AUC)从0.818提高到0.845。结论:在临床前阶段,特定目标的停留时间比总完成时间更敏感地标志着认知能力下降。这种数字笔尖行为分析为初级保健中的临床前认知脆弱性提供了一种快速、准确、低压力的筛查工具。
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