Performance-driven EEG-based brain-computer interface to help with brain conditions
Official title: Performance-Driven Adaptation to Maximise Efficiency of Electroencephalography-based Brain-Computer Interfaces
Funded at Duke University · NIH-11347340 · Data updated 2026-11-12
A Duke study aims to make noninvasive EEG brain-computer interfaces smarter and more reliable for people who could benefit from assistive communication and brain-activity monitoring.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project start | September 14, 2026 |
| Project end | June 30, 2029 |
| Funding year | 2026 |
| Award (this year) | $1,552,943 |
| NIH project number | 1RF1NS148614-01 |
| Project ID | NIH-11347340 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include individuals with neurological conditions affecting communication or motor function who could use EEG-based BCIs, including those at risk for Alzheimer’s disease dementia, Alzheimer's syndrome, or ALS/MND.
✕Less likely to help
Patients without access to EEG equipment or those with conditions that make BCI use impractical may see little direct benefit.
What this research studies
This project will develop real-time adaptive settings for EEG-based brain-computer interfaces, especially focusing on P300 BCIs, to cope with noisy and changing brain signals. It combines neuroscience, psychology, machine learning, and information theory to tune system parameters on the fly with low overhead and minimal user disruption. The goal is to improve accuracy and reliability so that users—particularly those with neurological conditions or communication challenges—can rely on BCIs for safer, easier interaction. The work will be conducted at Duke University under the lead of Dr. Boyla M Mansah.
Why it matters
Potential benefit: If successful, this approach could enable more dependable and user-friendly brain-computer interfaces for patients who need assistive communication or neuro-monitoring.
How similar studies have gone: Preliminary work in adaptive BCIs suggests potential gains, but real-time, patient-specific adaptation remains an area with opportunity for significant impact.
Where this research is happening
-
Duke University
Durham, United States Active
Researchers
- Principal investigator: Mainsah, Boyla — Duke University
- Study coordinator: Mainsah, Boyla
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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.