Wearables and genetics to find sleep signs of early Alzheimer's

Genomics-guided sleep biomarker discovery for early Alzheimer's disease: A wearables study

NIH-funded research University of Massachusetts Amherst · NIH-11311869

This project uses consumer wearables plus genetic risk information to spot early sleep and heart-rate changes linked to Alzheimer's in older adults at higher genetic risk.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Massachusetts Amherst NIH-funded
Lab location1 site (Hadley, United States)
Project IDNIH-11311869 on NIH RePORTER

What this research studies

If you join, you'll wear a consumer smartwatch and an EEG headband that record sleep, heart rate, activity, and related signals while going about your daily life. Researchers will link those wearable signals to genetic risk information from the Mass General Brigham Biobank to search for patterns that appear before memory problems start. The team will apply artificial intelligence methods to create digital fingerprints of early Alzheimer's and compare which devices give the clearest signals. The focus is on older adults who are currently cognitively normal but have elevated genetic susceptibility to Alzheimer's.

Who could benefit from this research

Good fit: Ideal candidates are older adults who are cognitively normal but have elevated genetic risk for Alzheimer's (for example higher polygenic risk or APOE-related risk) and who can wear a smartwatch and EEG headband.

Not a fit: People without elevated genetic risk, younger individuals, or those unable or unwilling to use wearable devices are less likely to gain direct benefit from this project.

Why it matters

Potential benefit: If successful, this work could enable earlier, low-cost, noninvasive detection of Alzheimer's risk using devices you can wear at home, allowing more time for planning or early interventions.

How similar studies have performed: Prior studies have linked sleep changes to future dementia, but combining consumer wearables with genetics-guided AI for early detection is a relatively new and emerging approach.

Where this research is happening

Hadley, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-10 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.