Choosing the best MR spectroscopy approach to measure brain chemicals
Model Selection for Magnetic Resonance Spectroscopy
Researchers will compare different computer models to help MR spectroscopy give steadier, clearer measures of brain chemicals for people with brain conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project ID | NIH-11328837 on NIH RePORTER |
What this research studies
This project uses proton MR spectroscopy, a special MRI scan that can measure many brain chemicals without surgery. Scientists will analyze MRS data with many different candidate models instead of relying on a single method, using a 'multiverse' framework to capture how results vary. They will apply statistical model-selection tools to identify which approaches fit each dataset best, focusing on commonly used MRS software. The aim is to reduce inconsistent results across labs so MRS can be more reliable for diagnosing and tracking treatment in brain disorders.
Who could benefit from this research
Good fit: Ideal participants are people who have or will undergo brain MR spectroscopy scans, such as patients with brain tumors or other neurological conditions.
Not a fit: People who will not have MR spectroscopy scans or whose conditions do not affect brain metabolism are unlikely to benefit directly.
Why it matters
Potential benefit: If successful, this could make MR spectroscopy measurements more reliable, helping doctors diagnose brain disorders and track treatment response.
How similar studies have performed: Related multiverse and model-selection methods have improved reliability in other MRI and neuroimaging areas, but applying these tools specifically to MRS is fairly new.
Where this research is happening
Baltimore, United States
- Johns Hopkins University — Baltimore, United States (Active)
Researchers
- Principal investigator: Oeltzschner, Georg — Johns Hopkins University
- Study coordinator: Oeltzschner, Georg
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.