Using a sleep headband to measure brain health through machine learning.
Official title: A Machine Learning Algorithm to Assess Functional "Brain Age" from an In-Home EEG Sleepband
Funded at Neurogeneces, INC. · NIH-10820286 · Data updated 2026-11-12
This study is testing a new way to check how well your brain is working by using a special headband that you wear while you sleep, and it’s designed for adults who want to catch early signs of cognitive decline before it becomes a bigger issue.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Neurogeneces, INC. NIH-funded |
| Lab location | 1 site (Santa Fe, United States) |
| Project start | September 10, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $295,000 |
| NIH project number | 1R41AG085773-01 |
| Project ID | NIH-10820286 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are cognitively healthy adults aged 21 and older who are interested in monitoring their brain health.
✕Less likely to help
Patients with existing severe cognitive impairments or neurological disorders may not benefit from this research.
What this research studies
This research investigates a new method to assess brain function using a machine learning algorithm that analyzes sleep data collected from an at-home EEG headband. By measuring brain age, which reflects the health of brain function, the study aims to identify early signs of cognitive decline in adults before irreversible damage occurs. Participants will wear a sleep headband that records their brain activity during sleep, providing valuable data for the algorithm to analyze. The goal is to create an accessible and objective tool for monitoring brain health in everyday settings.
Why it matters
Potential benefit: If successful, this research could lead to early detection of cognitive decline, allowing for timely interventions to improve brain health.
How similar studies have gone: While the concept of using machine learning for brain health assessment is emerging, this specific approach using at-home EEG data is relatively novel and has not been extensively tested.
Where this research is happening
-
Neurogeneces, INC.
Santa Fe, United States Active
Researchers
- Principal investigator: Comerford, Michael — Neurogeneces, INC.
- Study coordinator: Comerford, Michael
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.