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.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Resource-Related Research Multi-Component Projects and Centers Cooperative Agreements (U2C)
Project #
5U2CAG060408-02
Application #
9781463
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Plude, Dana Jeffrey
Project Start
2018-09-15
Project End
2023-05-31
Budget Start
2019-06-15
Budget End
2020-05-31
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Pennsylvania State University
Department
Other Health Professions
Type
Sch Allied Health Professions
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802