Linking individual brain network patterns to behavior with Bayesian models
An integrative Bayesian approach for linking brain to behavioral phenotype
This project uses advanced Bayesian statistics and brain imaging to link individual brain network patterns with behaviors in adults.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-11159575 on NIH RePORTER |
What this research studies
This work will combine brain scans and Bayesian modeling so researchers can measure each person's brain network pattern (connectome) and relate it to behaviors or symptoms. The team will compare different brain atlases (ways to divide the brain into nodes) and build predictive models that use connectivity strength to explain behavioral differences. They will validate models across people and datasets to make sure findings generalize rather than reflect one specific sample. If you participate, you might provide new imaging and behavioral data or allow your existing brain data to be analyzed to help improve personalized brain–behavior links.
Who could benefit from this research
Good fit: Ideal participants are adults aged 21 or older who can undergo brain imaging or contribute existing brain imaging and behavioral data, including healthy older adults or people with behavioral or cognitive symptoms.
Not a fit: Children under 21, people unable to undergo MRI, or anyone expecting immediate clinical care decisions may not directly benefit from this research.
Why it matters
Potential benefit: If successful, this could help tailor diagnoses and treatments by identifying personalized brain network patterns linked to symptoms and outcomes.
How similar studies have performed: Prior connectome studies have shown promise linking brain networks to behavior but have struggled with atlas choice and cross-site generalization, making this integrative Bayesian approach relatively novel.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Constable, R Todd — Yale University
- Study coordinator: Constable, R Todd
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.