Current cognitive assessments suffer from limited scalability and high user burden. This study aimed to (1) examine the relationship between a brief eye-tracking-based visual paired-comparison (VPC) and gold standard cognitive assessments, (2) examine longitudinal stability of the VPC task, (3) determine the ability of the VPC task to differentiate between cognitively normal (CN) individuals and individuals with mild cognitive impairment (MCI). Fifty-five adults (n = 44 CN, n = 11 MCI; 56.4 ± 26.7 years) were tested on two occasions, separated by at least 14 days. Visit 1 included VPC, Montreal Cognitive Assessment (MoCA), Digit Symbol Coding test (DSC), and NIH Toolbox Cognitive Battery (NIHTB-CB). Visit 2 included VPC, DSC, NIHTB-CB, and dual-task (DT). Significant differences existed between baseline VPC scores for CN and MCI groups (p < .001). VPC scores remained stable over time in both groups (p < .05). Significant associations existed between VPC and MoCA (p < .01), DSC (p < .001), and various NIHTB-CB subtests at both time points. The VPC test significantly predicts cognitive outcomes (p < .05), with age and VPC being the only significant predictors. Additionally, area under the curve (receiver operator characteristic = 0.80) for VPC scores demonstrated good classification accuracy. VPC reliably predicted cognitive status while remaining stable over time and displayed significant associations with gold standard cognitive assessments. VPC is a less burdensome and more scalable assessment than traditional tests, enabling longitudinal monitoring of cognitive status in resource-limited environments.

当前的认知评估存在可扩展性有限和用户负担高的问题。本研究旨在 (1) 检查基于眼动追踪的简短视觉配对 (VPC) 与黄金标准认知评估之间的关系，(2) 检查 VPC 任务的纵向稳定性，(3) 确定VPC 的任务是区分认知正常 (CN) 个体和轻度认知障碍 (MCI) 个体。 55 名成年人（ n = 44 CN， n = 11 MCI；56.4 ± 26.7 岁）接受了两次测试，间隔至少 14 天。访问 1 包括 VPC、蒙特利尔认知评估 (MoCA)、数字符号编码测试 (DSC) 和 NIH 工具箱认知电池 (NIHTB-CB)。访问 2 包括 VPC、DSC、NIHTB-CB 和双任务 (DT)。 CN 组和 MCI 组的基线 VPC 评分之间存在显着差异 ( p < .001)。随着时间的推移，两组的 VPC 分数保持稳定 ( p < .05)。在两个时间点，VPC 和 MoCA ( p < .01)、DSC ( p < .001) 以及各种 NIHTB-CB 子测试之间存在显着关联。 VPC 测试可显着预测认知结果 ( p < .05)，年龄和 VPC 是唯一显着的预测因素。此外，VPC 分数的曲线下面积（接收者操作员特征 = 0.80）表现出良好的分类准确性。 VPC 可靠地预测了认知状态，同时保持稳定，并与黄金标准认知评估显着相关。与传统测试相比，VPC 是一种负担更轻且更具可扩展性的评估，可以在资源有限的环境中纵向监控认知状态。