Understanding and classifying substance use disorders
Multi-level statistical classification of substance use disorder
This study is looking at different types of substance use disorders by examining things like symptoms, brain scans, and genetics, to help create better and more personalized treatment options for people dealing with these issues.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Connecticut Storrs NIH-funded |
| Lab location | 1 site (Storrs-Mansfield, United States) |
| Project ID | NIH-10668244 on NIH RePORTER |
What this research studies
This research focuses on classifying substance use disorders (SUDs) by analyzing a wide range of data, including clinical symptoms, brain imaging, and genetic information. The team employs advanced statistical algorithms to identify different subtypes of SUDs, which can help in understanding the underlying causes and variations of these disorders. By utilizing a large database from the UK Biobank, the research aims to integrate neural imaging features with genetic data to improve the accuracy of SUD classifications. This innovative approach could lead to more personalized treatment options for individuals affected by substance use disorders.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with substance use disorders, particularly those with a history of alcohol or drug dependence.
Not a fit: Patients who do not have a substance use disorder or those with unrelated mental health conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and tailored treatment strategies for individuals with substance use disorders.
How similar studies have performed: Previous research has shown promise in using similar multidimensional approaches to classify substance use disorders, indicating potential for success in this innovative methodology.
Where this research is happening
Storrs-Mansfield, United States
- University of Connecticut Storrs — Storrs-Mansfield, United States (Active)
Researchers
- Principal investigator: Bi, Jinbo — University of Connecticut Storrs
- Study coordinator: Bi, Jinbo
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.