Improving diagnosis of Parkinsonism using advanced MRI techniques
Official title: Clinical performance testing of neuropacs in Parkinsonism diagnosis
Funded at Automated Imaging Diagnostics, LLC · NIH-11005819 · Data updated 2026-11-12
This study is looking at how a special type of MRI can help doctors tell the difference between different kinds of Parkinson's disease and similar conditions, so that patients can get the right diagnosis and treatment.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Automated Imaging Diagnostics, LLC NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project start | June 15, 2023 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $736,624 |
| NIH project number | 2R42NS132614-02 |
| Project ID | NIH-11005819 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who are experiencing symptoms of Parkinsonism or have been recently diagnosed with Parkinson's disease, multiple system atrophy, or progressive supranuclear palsy.
✕Less likely to help
Patients with other neurological conditions that do not fall under the Parkinsonism spectrum may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy of diagnosing various forms of Parkinsonism, including Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. It utilizes diffusion magnetic resonance imaging (MRI) to differentiate between these conditions, which often present similar symptoms and can lead to misdiagnosis. By employing this safe and widely available imaging technique, the study aims to establish reliable diagnostic markers that can guide treatment decisions and clinical trials. Patients suspected of having Parkinsonism will be evaluated using this innovative approach to improve diagnostic precision.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of Parkinsonism, allowing for tailored treatment plans and improved patient outcomes.
How similar studies have gone: Previous research has shown promise in using advanced MRI techniques for diagnosing neurological conditions, indicating that this approach may yield successful outcomes.
Where this research is happening
-
Automated Imaging Diagnostics, LLC
Gainesville, United States Active
Researchers
- Principal investigator: Barmpoutis, Angelos — Automated Imaging Diagnostics, LLC
- Study coordinator: Barmpoutis, Angelos
Related research
Other NIH-funded projects on the same topics.
-
AI-assisted MRI to tell different Parkinsonism types apart
An AI-powered MRI tool aims to help doctors distinguish Parkinson’s disease, MSAp, and PSP in people with Parkinsonism.
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.