Adaptive Testing of Cognitive Function based on multi-dimensionalItem Response Theory

基于多维项目反应理论的认知功能自适应测试

• 批准号: 10900990
• 负责人: ROBERT D GIBBONS
• 金额: $ 90.33万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-18 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10900990
• 关键词: Administrator; Adopted; Adult; Age; Age Years; Aging; Alzheimer' s Disease; American; Applied Research; Assessment tool; Basic Science; Calibration; Clinic; Clinical; Cognition; Cognitive; Computers; Consumption; Data; Development; Dimensions; Discrimination; Early Diagnosis; Early Intervention; Elderly; Episodic memory; Evaluation; Funding; Health; Healthcare; Human Resources; Immune; Impaired cognition; Impairment; Individual; Internet; Language; Learning; Life Cycle Stages; Link; Longevity; Longitudinal Studies; Masks; Measurement; Measures; Mental Health; Mental Tests; Modeling; National Institute of Mental Health; Neuropsychological Tests; Neuropsychology; Office Visits; Outcome; Participant; Persons; Population; Preparation; Protocols documentation; Recommendation; Research; Research Personnel; Resources; Respondent; Risk; Sampling; Semantic memory; Short-Term Memory; Standardization; Stimulus; Structure; Subgroup; Testing; Time; Training; Underserved Population; Validation; age related; aged; attentional control; cognitive ability; cognitive function; cognitive performance; cognitive task; cognitive testing; computerized; design; flexibility; improved; innovation; mild cognitive impairment; platform-independent; processing speed; prototype; response; risk stratification; self-directed learning; theories; tool; young adult; Administrator; Adopted; Adult; Age; Age Years; Aging; Alzheimer' s Disease; American; Applied Research; Assessment tool; Basic Science; Calibration; Clinic; Clinical; Cognition; Cognitive; Computers; Consumption; Data; Development; Dimensions; Discrimination; Early Diagnosis; Early Intervention; Elderly; Episodic memory; Evaluation; Funding; Health; Healthcare; Human Resources; Immune; Impaired cognition; Impairment; Individual; Internet; Language; Learning; Life Cycle Stages; Link; Longevity; Longitudinal Studies; Masks; Measurement; Measures; Mental Health; Mental Tests; Modeling; National Institute of Mental Health; Neuropsychological Tests; Neuropsychology; Office Visits; Outcome; Participant; Persons; Population; Preparation; Protocols documentation; Recommendation; Research; Research Personnel; Resources; Respondent; Risk; Sampling; Semantic memory; Short-Term Memory; Standardization; Stimulus; Structure; Subgroup; Testing; Time; Training; Underserved Population; Validation; age related; aged; attentional control; cognitive ability; cognitive function; cognitive performance; cognitive task; cognitive testing; computerized; design; flexibility; improved; innovation; mild cognitive impairment; platform-independent; processing speed; prototype; response; risk stratification; self-directed learning; theories; tool; young adult

Project Abstract With the aging of the American population, the number of older adults at risk for developing cognitive impairment is staggering. Recent research points to age-related change in cognitive performance beginning as early as age 30, highlighting the potential for early interventions. Cognitive function has long been assessed using standardized cognitive tasks administered via neuropsychological evaluation. However, the traditional way to assess cognitive ability is time consuming, requires trained personnel, requires an office visit, and identifying decline among younger adults is particularly challenging because it can be masked by item redundancy effects. Here we propose developing a new computerized adaptive test (CAT) to assess cognitive function, either in clinic or remotely, that is based on recent advances in multidimensional item response theory (MIRT). We are calling it the CAT-COG. The CAT-COG will assess global cognitive ability as a primary domain as well as 5 cognitive subdomains: episodic memory, language/semantic memory, processing speed, attentional control/working memory, flexible cognition/reasoning. Our approach will revolutionize computer-based cognitive testing (ultimately in a platform independent way), providing precise estimation of an individual’s ability on these domains with minimal respondent burden, using a sufficiently large bank of items so that the same individual’s cognitive ability can be assessed repeatedly without reusing items or stimuli. This project brings together an accomplished interdisciplinary team of researchers and also builds on the unique resources of the Rush Alzheimer’s Disease Center (RADC). These are the key project steps: (1) We will develop a new 500 item bank of cognitive tasks and test them alongside a standard battery of neuropsychological tests through the RADC, and in an online Prolific sample that includes younger adults. (2) Based on these data, we will develop a computerized adaptive test (CAT- COG) appropriate for measuring global cognitive function and cognitive subdomains across the life course. (3) We will test and validate the CAT-COG among returning RADC participants who will also receive traditional neuropsychological testing. (4) We will study short-term variability of the CAT-COG based on daily assessment for a week to determine learning effects and develop a testing protocol that is immune to such effects. (5) we will harmonize the CAT-COG with the RADC standard battery of neuropsychological tests so that existing data can be linked to newly collected CAT-COG assessments.

项目摘要 随着美国人口的衰老，老年人的数量有患认知障碍的风险 令人震惊。最近的研究表明，认知表现与年龄相关的变化最早开始 30，强调了早期干预的潜力。长期以来使用认知功能评估 通过神经心理学评估管理的标准认知任务。但是，传统的方式 评估认知能力很耗时，需要训练有素的人员，需要办公室访问并确定 年轻人的下降尤其具有挑战性，因为它可以被项目冗余效果掩盖。 在这里，我们建议开发一种新的计算机化自适应测试（CAT）来评估认知功能，要么 诊所或远程是基于多维项目反应理论（MIRT）的最新进展。我们是 称其为cog。猫库将评估全球认知能力作为主要领域，以及5 认知子域：情节记忆，语言/语义记忆，处理速度，注意力 控制/工作记忆，灵活的认知/推理。我们的方法将彻底改变基于计算机的认知 测试（最终以平台独立的方式），提供对个人能力的精确估计 使用足够大的物品，以最少的受访者伯恩（Burnen）的域名 可以反复评估认知能力，而无需重复项目或刺激。这个项目汇集了一个 成熟的研究人员的跨学科团队，也建立在匆忙的独特资源的基础上 阿尔茨海默氏病中心（RADC）。这些是关键的项目步骤：（1）我们将开发一个新的500个项目库 认知任务，并通过RADC进行标准的神经心理学测试测试 在包括年轻人在内的在线多产样本中。 （2）基于这些数据，我们将开发一个 计算机化自适应测试（CAT-COG），适用于测量全球认知功能和认知 整个生活过程中的子域。 （3）我们将在返回的RADC中测试和验证cat-cog 还将接受传统神经心理学测试的参与者。 （4）我们将研究短期可变性 基于每日评估一周的日常评估，以确定学习效果并开发测试 不受此类影响的协议。 （5）我们将用RADC标准电池将cog统一 神经心理学测试可以将现有数据链接到新收集的猫壳评估。