Ambulatory Methods for Measuring Cognitive Change

测量认知变化的流动方法

• 批准号: 10213193
• 负责人: Martin J Sliwinski
• 金额: $ 33.13万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10213193
• 关键词: Address; Adult; Age; Alzheimer' s Disease; Android; Area; Assessment tool; Behavioral; Behavioral Sciences; Benchmarking; Biomedical Research; Clinical; Cognitive; Cognitive aging; Communities; Computer software; Data; Data Analytics; Data Collection; Data Security; Data Sources; Detection; Development; Devices; Early Intervention; Ecological momentary assessment; Elderly; Family; Goals; Gold; Health; Health Care Costs; Impaired cognition; Infrastructure; Laboratories; Life; Longevity; Longitudinal Studies; Measurement; Measures; Metadata; Methodology; Methods; Modeling; Monitor; Neurodegenerative Disorders; Neurologic; Outcome Measure; Participant; Patient Self-Report; Prevention; Preventive measure; Probability; Probability Samples; Procedures; Process; Protocols documentation; Psychometrics; Quality Control; Quality of life; Research; Research Design; Research Infrastructure; Research Personnel; Resources; Risk Factors; Sampling; Secure; Standardization; Surveys; Symptoms; System; Technology; Testing; Time; United States National Institutes of Health; Validation; Validity and Reliability; Work; base; brain health; clinical practice; cognitive ability; cognitive change; cognitive function; cognitive testing; cost effective; data management; design; effective therapy; experience; flexibility; handheld mobile device; improved; infrastructure development; innovation; interoperability; iterative design; longitudinal analysis; longitudinal design; meetings; mobile application; mobile computing; modifiable risk; next generation; novel; performance tests; pre-clinical; prevent; prototype; racial diversity; research and development; response; sensor technology; software systems; standard measure; tool; uptake

Project Summary Accurate and sensitive measurement of cognitive change is required to advance the understanding of normative cognitive aging and improve the detection of the subtle cognitive changes during preclinical stages of neurodegenerative diseases, such as Alzheimer's. In response to RFA-AG-18-012, we propose to develop infrastructure for the Mobile Monitoring of Cognitive Change (M2C2) that will provide the research community with open, flexible, and usable tools to enable scientific progress that depends on the sensitive and accurate measurement of cognitive change. We will build this infrastructure by accomplishing the following aims. First, we will establish rapid iterative piloting and test development procedures that accelerate our capacity to prototype, deploy, evaluate, and optimize candidate mobile cognitive tests to meet psychometric, accessibility, and engagement benchmarks (Aim 1: Iterative Design & Piloting). Second, evaluate reliability, construct validity, and longitudinal validity of mobile cognitive testing procedures (Aim 2: Reliability & Validity) in a racially diverse probability sample. Third, we replicate psychometric results in an independent, nationally representative probability based sample, and create nationally representative norms (Aim 3: Replication). And fourth, we will test our pipeline and procedures for incorporating new measures into the mobile assessment infrastructure by evaluating novel measures for inclusion that are nominated by investigators outside of our immediate research team (Aim 4: Extension).

项目总结