Finding early memory problems from speech and everyday behavior with computer learning
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
['FUNDING_R01'] · UNIVERSITY OF MICHIGAN AT ANN ARBOR · NIH-11320766
This project uses voice recordings and simple behavior sensors plus computer learning to find early memory and thinking problems in older adults.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF MICHIGAN AT ANN ARBOR (nih funded) |
| Locations | 1 site (ANN ARBOR, UNITED STATES) |
| Trial ID | NIH-11320766 on ClinicalTrials.gov |
What this research studies
From my perspective, the team will collect speech samples and everyday behavior data using inexpensive sensors and phone or clinic recordings, then use machine-learning programs to look for subtle changes that match mild cognitive impairment (MCI). They'll compare people with MCI to those with normal thinking to teach the computer what patterns matter, and may relate findings to existing brain biomarkers when available. Participation could include short voice tasks, brief memory or thinking tests, and possibly wearing simple sensors or using a smartphone app at home. The goal is to develop an affordable, easy screening method that could be used in clinics or remotely to flag early problems.
Who could benefit from this research
Good fit: Ideal candidates are older adults with memory concerns or a recent diagnosis of mild cognitive impairment, and cognitively normal older adults may be enrolled as comparison participants.
Not a fit: People with advanced dementia or with severe speech, hearing, or other conditions that greatly alter speech or daily behavior may not benefit from this approach.
Why it matters
Potential benefit: If successful, this could provide a low-cost, noninvasive way to spot early memory problems so people can get follow-up care sooner.
How similar studies have performed: Earlier small studies using speech and digital markers have shown promising signals for detecting MCI and early Alzheimer's, but the approach has not yet been validated for routine clinical use.
Where this research is happening
ANN ARBOR, UNITED STATES
- UNIVERSITY OF MICHIGAN AT ANN ARBOR — ANN ARBOR, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZHOU, JIAYU — UNIVERSITY OF MICHIGAN AT ANN ARBOR
- Study coordinator: ZHOU, JIAYU
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 below.
Conditions: Alzheimer disease dementia, Alzheimer syndrome, Alzheimer's Disease, Alzheimer's disease patient