Using machine learning to find brain markers that predict response to TMS treatment for depression
Machine Learning Models for Identifying Neural Predictors of TMS Treatment Response in MDD
This study is looking at how advanced computer technology can help figure out which patients with depression are likely to benefit the most from a specific treatment called transcranial magnetic stimulation (TMS), so that the therapy can be better tailored to each person's brain.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-11001526 on NIH RePORTER |
What this research studies
This research investigates how machine learning can identify neural predictors that indicate how well patients with major depressive disorder (MDD) will respond to transcranial magnetic stimulation (TMS) treatment. By analyzing pre-treatment brain connectivity and electrical field models, the study aims to uncover patterns that can help personalize TMS therapy for individuals. The goal is to reduce the variability in treatment response and improve the effectiveness of TMS by tailoring it to each patient's unique brain characteristics. This approach could lead to more efficient and targeted treatment options for those suffering from depression.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with major depressive disorder who are considering or currently undergoing TMS treatment.
Not a fit: Patients with depression who are not candidates for TMS or those who do not have a diagnosis of major depressive disorder may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective TMS treatments for patients with major depressive disorder.
How similar studies have performed: While the use of machine learning in this context is relatively novel, there have been successful applications of similar approaches in other areas of mental health treatment.
Where this research is happening
Pittsburgh, United States
- University of Pittsburgh at Pittsburgh — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Karim, Helmet Talib — University of Pittsburgh at Pittsburgh
- Study coordinator: Karim, Helmet Talib
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.