Creating a simulator to improve brain-machine interfaces for movement disorders
An Open Source Simulator for Multi Degree-Of-Freedom Brain-Machine Interfaces
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA LOS ANGELES · NIH-11092766
This study is creating a helpful computer program that simulates brain activity to make it easier and faster for researchers to improve devices that assist people with movement disorders like paralysis and ALS, aiming to enhance their ability to use prosthetics and communicate.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA LOS ANGELES (nih funded) |
| Locations | 1 site (LOS ANGELES, UNITED STATES) |
| Trial ID | NIH-11092766 on ClinicalTrials.gov |
What this research studies
This research focuses on developing an open-source simulator designed to enhance brain-machine interfaces (BMIs) for individuals with movement disorders such as paralysis and ALS. By utilizing neural encoding models, the simulator will generate synthetic brain activity to evaluate and optimize BMI algorithms quickly and efficiently. This approach aims to reduce the time required for testing from months to mere minutes, thereby broadening the pool of researchers who can contribute to the development of these technologies. Ultimately, the goal is to improve the functionality of prosthetic devices that can restore motor function and communication for patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals suffering from movement disorders, including those with paralysis or ALS, who may benefit from advanced brain-machine interface technologies.
Not a fit: Patients with movement disorders who are not candidates for brain-machine interfaces or those who do not have access to the necessary technology may not receive benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster and more effective development of brain-machine interfaces, significantly improving the quality of life for patients with movement disorders.
How similar studies have performed: Other research has shown promise in developing brain-machine interfaces, but this simulator represents a novel approach aimed at accelerating algorithm development.
Where this research is happening
LOS ANGELES, UNITED STATES
- UNIVERSITY OF CALIFORNIA LOS ANGELES — LOS ANGELES, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KAO, JONATHAN CHAU-YAN — UNIVERSITY OF CALIFORNIA LOS ANGELES
- Study coordinator: KAO, JONATHAN CHAU-YAN
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.