Using advanced brain stimulation to improve neural activity in Alzheimer's disease
Closed-Loop Deep Brain Stimulation for Controlling Abnormal Neural Synchronization and Oscillations
['FUNDING_OTHER'] · SAN JOSE STATE UNIVERSITY · NIH-10850277
This study is exploring a new way to use deep brain stimulation for people with Alzheimer's by creating a smart system that automatically adjusts the treatment based on how the brain is doing, which could lead to better results and less need for frequent doctor visits.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | SAN JOSE STATE UNIVERSITY (nih funded) |
| Locations | 1 site (SAN JOSE, UNITED STATES) |
| Trial ID | NIH-10850277 on ClinicalTrials.gov |
What this research studies
This research focuses on developing a new approach to deep brain stimulation (DBS) that adapts to the brain's changing needs in patients with Alzheimer's disease. By utilizing machine learning and optimal control techniques, the project aims to create a closed-loop system that automatically adjusts stimulation parameters based on the patient's condition. This innovative method seeks to enhance the effectiveness of DBS in restoring normal brain activity and reducing symptoms associated with Alzheimer's. Patients may benefit from a more personalized and effective treatment option that requires less frequent clinical adjustments.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Alzheimer's disease who have not responded adequately to traditional pharmacological treatments.
Not a fit: Patients with early-stage Alzheimer's disease or those who are not candidates for deep brain stimulation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatments for patients with Alzheimer's disease, potentially improving their quality of life.
How similar studies have performed: While deep brain stimulation has been used in other neurological conditions, this specific approach utilizing closed-loop systems and machine learning is relatively novel and has not been extensively tested in Alzheimer's disease.
Where this research is happening
SAN JOSE, UNITED STATES
- SAN JOSE STATE UNIVERSITY — SAN JOSE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KUMAR, GAUTAM — SAN JOSE STATE UNIVERSITY
- Study coordinator: KUMAR, GAUTAM
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: Alzheimer disease dementia, Alzheimer syndrome, Alzheimer's Disease