At-home computer-based cognitive tests to build norms for aging and dementia across diverse US populations
Official title: At-home computerized assessment of normal cognitive aging and age-related cognitive decline in older African Americans, Hispanics, and rural non-Hispanic whites
Funded at Neurobehavioral Systems, INC. · NIH-11370594 · Data updated 2026-11-12
A new at-home, AI-assisted cognitive test battery will create population-based norms for aging and Alzheimer’s-related cognitive changes using diverse groups.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Neurobehavioral Systems, INC. NIH-funded |
| Lab location | 1 site (Berkeley, UNITED STATES) |
| Project start | September 30, 2022 |
| Project end | May 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $832,200 |
| NIH project number | 5R44AG080951-04 |
| Project ID | NIH-11370594 on NIH RePORTER |
Who could benefit from this research
✓Could help
Older adults (60–89 years) who identify as African American, Asian American, English-speaking Hispanic, or Spanish-speaking Hispanic and are able to complete computer-based assessments at home or in a clinic.
✕Less likely to help
Individuals outside the specified demographic groups or those unable to use telemedicine or a computer-based test may not benefit.
What this research studies
This project will collect longitudinal data from 4 demographic groups (African Americans, Asian Americans, English-speaking Hispanics, and Spanish-speaking Hispanics) aged 60–89 to establish representative cognitive norms. It uses the California Cognitive Assessment Battery (CCAB), a 34-test computerized platform that can be done in a clinic or at home via telemedicine, aided by AI voice and speech recognition. Data will be combined with existing norms to better reflect the diversity of the US population and improve accuracy in diagnosing cognitive decline. Phase I focuses on enrollment and translation optimization, while Phase II expands testing and validation in real-world settings.
Why it matters
Potential benefit: If successful, clinicians will have more accurate, representative tools to detect and monitor Alzheimer's-related cognitive changes in diverse populations.
How similar studies have gone: Previous work with CCAB and similar digital neuropsychological tools has shown promise in rapid, scalable data collection and normative development.
Where this research is happening
-
Neurobehavioral Systems, INC.
Berkeley, United States Active
Researchers
- Principal investigator: Woods, David L — Neurobehavioral Systems, INC.
- Study coordinator: Woods, David L
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.