New methods to analyze brain imaging data for understanding substance use in adolescents
Scalable Bayesian methods for big imaging data analysis
This study is looking at how brain scans and different life factors might affect substance use in teenagers, helping us understand more about how their brains develop during this important time.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-10892281 on NIH RePORTER |
What this research studies
This research focuses on developing advanced statistical methods to analyze large imaging datasets, particularly from the Adolescent Brain Cognitive Development (ABCD) Study. By using innovative Bayesian models, the project aims to explore the relationship between brain imaging data and various social and clinical factors that may influence substance use in adolescents. The approach includes creating models that can simultaneously analyze high-resolution brain images and complex data about the environment and individual health. This could lead to identifying key imaging biomarkers that are linked to substance use patterns, enhancing our understanding of adolescent brain development.
Who could benefit from this research
Good fit: Ideal candidates for this research are adolescents aged 0-20 years who are participating in the ABCD Study or similar studies focused on brain development.
Not a fit: Patients outside the adolescent age range or those not involved in brain imaging studies may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved predictions and interventions for preventing substance use in adolescents.
How similar studies have performed: Other research has shown success in using Bayesian methods for analyzing complex imaging data, indicating a promising approach for this study.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Kang, Jian — University of Michigan at Ann Arbor
- Study coordinator: Kang, Jian
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.