Using data to understand different symptoms in mood disorders for better treatment options
Data-Driven Models of Symptom Heterogeneity to Empower Transdiagnostic Multimodal Biomarker Discovery in Mood Disorders
This study is looking to make mood disorder treatments better by figuring out how different symptoms respond to various therapies, especially for people getting electroconvulsive therapy (ECT), so that doctors can personalize treatments based on what works best for each person.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-10832541 on NIH RePORTER |
What this research studies
This research focuses on improving the treatment of mood disorders by analyzing various symptoms and their responses to different therapies. By utilizing advanced neuroimaging techniques and data-driven analysis, the project aims to identify specific biomarkers that can predict how individual patients will respond to antidepressant treatments. The study will involve patients undergoing electroconvulsive therapy (ECT), collecting MRI and clinical data to better understand the relationship between symptoms and treatment outcomes. This approach seeks to enhance precision medicine in mental health by tailoring treatments to individual needs.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with mood disorders, particularly those who may be undergoing electroconvulsive therapy.
Not a fit: Patients with mood disorders who are not candidates for electroconvulsive therapy or those with other unrelated mental health conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment options for patients with mood disorders.
How similar studies have performed: Other research in computational psychiatry has shown promise in using data-driven approaches to improve treatment outcomes, indicating that this methodology has potential for success.
Where this research is happening
Boston, United States
- Massachusetts General Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Wade, Benjamin Seavey Cutler — Massachusetts General Hospital
- Study coordinator: Wade, Benjamin Seavey Cutler
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.