Finding brain scan signatures that work across different tasks and scan types
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers
The project builds new methods to spot brain scan patterns that could help identify bipolar disorder and other brain conditions across different kinds of scans and tasks.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia State University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-11357605 on NIH RePORTER |
What this research studies
I would contribute by allowing researchers to combine many kinds of brain images instead of looking at each one alone. The team develops mathematical and machine‑learning tools to handle thousands of measurements from structural and functional scans, blood‑flow measures, and white matter data. They use data‑reduction strategies and cross‑task analysis to find shared patterns that might mark illness. Much of the work analyzes existing human scan datasets and may involve collecting or reanalyzing clinical scans from people with bipolar disorder and related conditions.
Who could benefit from this research
Good fit: Ideal candidates are adults with bipolar disorder or related mood/psychotic conditions, and healthy volunteers willing to provide brain MRI/fMRI scans and clinical information.
Not a fit: People looking for immediate treatment changes should not expect direct clinical benefit from this methods-focused work, and individuals unable to undergo MRI would not be eligible to participate.
Why it matters
Potential benefit: If successful, this could produce more reliable imaging markers that help diagnose bipolar disorder earlier or personalize treatment choices.
How similar studies have performed: Some prior multimodal imaging studies have shown promising links to psychiatric conditions, but methods that jointly combine multiple tasks and scan types remain relatively new.
Where this research is happening
Atlanta, United States
- Georgia State University — Atlanta, United States (Active)
Researchers
- Principal investigator: Calhoun, Vince D — Georgia State University
- Study coordinator: Calhoun, Vince D
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.