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).

Public Health Relevance

Identification of modifiable risk factors prior to the development of neurological conditions in old age represents a critical challenge for developing effective treatment and preventive measures, controlling health care costs, and ultimately improving the quality of life for seniors and their families. This requires methods to detect subtle cognitive changes years prior to the onset of discernable symptoms. The proposed research will significantly advance these efforts by developing innovative ambulatory methods that rely on mobile and sensor technology to measure the cognitive and behavioral function of people in their everyday life. These methods could provide more cost-effective, accurate, sensitive and `ecologically valid' measurements of early signs of cognitive impairment than are currently available through standard laboratory and clinical practices. By improving our ability to measure cognitive function in daily life, this work will set the stage for the next generation of early intervention and prevention studies to slow or prevent cognitive decline.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Resource-Related Research Multi-Component Projects and Centers Cooperative Agreements (U2C)
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Special Emphasis Panel (ZAG1)
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Plude, Dana Jeffrey
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Pennsylvania State University
Other Health Professions
Sch Allied Health Professions
University Park
United States
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