Improving the analysis of motor responses to brain stimulation
Official title: Enhancing Speed and Accuracy of Motor Evoked Potential Recruitment Curve Analysis Using Hierarchical Bayesian Modeling
Funded at Columbia University Health Sciences · NIH-11139762 · Data updated 2026-11-12
This study is working on a new tool to help doctors better understand how nerve stimulation affects muscle responses, which could lead to improved evaluations of neurological conditions and treatments for patients.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | April 1, 2025 |
| Project end | March 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $82,250 |
| NIH project number | 1R03NS141040-01A1 |
| Project ID | NIH-11139762 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals undergoing treatment for neurological conditions that affect motor function.
✕Less likely to help
Patients with stable neurological conditions that do not require assessment of motor evoked potentials may not benefit from this research.
What this research studies
This research focuses on enhancing the analysis of motor evoked potentials (MEPs), which are electrical responses from the nervous system triggered by stimulation. By developing a new Python library called hbMEP, the research aims to provide more accurate and efficient methods for measuring how stimulation intensity affects MEP size. This approach uses a hierarchical Bayesian framework to improve the precision of parameter estimates and increase the statistical power of the analysis. Patients may benefit from better assessments of their neurological conditions and the effectiveness of treatments.
Why it matters
Potential benefit: If successful, this research could lead to more accurate evaluations of neurological injuries and improved treatment strategies for patients.
How similar studies have gone: Other research has shown that Bayesian approaches can enhance data analysis in medical contexts, suggesting potential success for this novel application.
Where this research is happening
-
Columbia University Health Sciences
New York, United States Active
Researchers
- Principal investigator: Mcintosh, James Robert — Columbia University Health Sciences
- Study coordinator: Mcintosh, James Robert
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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.