Personalized mental health treatment using brain and behavior data
Machine Learning Methods for Optimizing Individualized Treatment Strategies for Precision Psychiatry
Using computer learning to help choose the best mental-health treatments for individual patients based on brain scans and behavior.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11080894 on NIH RePORTER |
What this research studies
As a patient, this project will develop new computer-learning tools that combine brain imaging and behavioral information to guide treatment choices for people with mental health conditions. The team will create personalized decision rules that account for wide differences between patients and the overlap between diagnoses. They will train and test these methods using multi-site clinical and brain-behavior datasets from several disorders. The aim is to reduce trial-and-error and help people get more effective care faster.
Who could benefit from this research
Good fit: Adults with common mental health conditions (for example depression, anxiety, bipolar disorder, or psychosis) who can share clinical, behavioral, or brain-imaging data would be the most relevant candidates.
Not a fit: People whose conditions are not represented in the datasets, those without available brain or behavioral data, or those seeking immediate treatment changes may not see direct benefit from this project.
Why it matters
Potential benefit: If successful, clinicians could better match each person to treatments likely to work, reducing side effects and speeding recovery.
How similar studies have performed: Previous precision-psychiatry and machine-learning efforts have shown promise but remain limited, and this project aims to contribute novel methods to handle diagnostic heterogeneity and diverse patient data.
Where this research is happening
New York, United States
- Columbia University Health Sciences — New York, United States (Active)
Researchers
- Principal investigator: Wang, Yuanjia — Columbia University Health Sciences
- Study coordinator: Wang, Yuanjia
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.