Using EEG to improve diagnosis of Parkinson's disease
Linear predictive coding of EEG Activity for Diagnosis of Parkinson's Disease (LEAD-PD)
This study is looking to create a new way to diagnose Parkinson's disease by using a quick brain scan that measures brain activity, helping doctors tell it apart from other similar conditions, so patients can get better care and track their progress more easily.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Iowa NIH-funded |
| Lab location | 1 site (Iowa City, United States) |
| Project ID | NIH-10659447 on NIH RePORTER |
What this research studies
This research aims to develop a new method for diagnosing Parkinson's disease (PD) by analyzing brain activity through EEG (electroencephalography). The approach utilizes machine learning to identify specific patterns in EEG data that can differentiate PD from other similar movement disorders. By capturing critical differences in brain activity within just five minutes of resting data, the study seeks to provide a reliable biomarker for diagnosing PD and tracking its progression over time. This could lead to more accurate assessments of treatment responses and symptom management for patients.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals experiencing symptoms of Parkinson's disease or those diagnosed with PD who are seeking better management of their condition.
Not a fit: Patients with movement disorders that are not related to Parkinson's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely diagnoses of Parkinson's disease, improving treatment outcomes for patients.
How similar studies have performed: Preliminary results from similar approaches have shown promise, with the LEAD-PD method achieving over 85% sensitivity and specificity in diagnosing Parkinson's disease.
Where this research is happening
Iowa City, United States
- University of Iowa — Iowa City, United States (Active)
Researchers
- Principal investigator: Uc, Ergun Y — University of Iowa
- Study coordinator: Uc, Ergun Y
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.