Combining brain science and AI to improve assistive devices for movement disorders.
Fusing motor neuroscience and artificial intelligence to create next-generation neural prostheses.
['FUNDING_OTHER'] · EMORY UNIVERSITY · NIH-11009682
This study is working on new technology that helps people with movement challenges, like ALS, by using their brain signals to control devices more accurately, making it easier for them to communicate and interact with the world.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | EMORY UNIVERSITY (nih funded) |
| Locations | 1 site (ATLANTA, UNITED STATES) |
| Trial ID | NIH-11009682 on ClinicalTrials.gov |
What this research studies
This research focuses on developing advanced brain-machine interfaces (BMIs) that can help individuals with motor disorders, such as Amyotrophic Lateral Sclerosis, by directly interpreting brain activity to understand movement intentions. Unlike current assistive devices that depend on remaining motor functions, this innovative approach utilizes artificial intelligence to enhance the accuracy and reliability of these interfaces. By employing a method called dynamical systems decoding, the research aims to improve how brain signals are translated into actions, potentially leading to more effective and user-friendly assistive technologies. Patients may benefit from devices that better respond to their needs and intentions, improving their quality of life.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with motor disorders, particularly those with Amyotrophic Lateral Sclerosis.
Not a fit: Patients with non-motor-related disabilities or those who do not have any residual motor function may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective assistive devices that allow patients with motor disorders to regain greater control over their movements.
How similar studies have performed: Previous research has shown promise in using brain-machine interfaces, but this approach of integrating AI with motor neuroscience is relatively novel and untested.
Where this research is happening
ATLANTA, UNITED STATES
- EMORY UNIVERSITY — ATLANTA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: PANDARINATH, CHETHAN — EMORY UNIVERSITY
- Study coordinator: PANDARINATH, CHETHAN
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: Amyotrophic Lateral Sclerosis Motor Neuron Disease