Complex data models to predict suicide risk and understand brain and emotion
Official title: Complex-data Models for Suicide Risk and Impaired Emotional and Cognitive Responses
Funded at New York State Psychiatric Institute Dba Research Foundation for Mental Hygiene, INC · NIH-11349218 · Data updated 2026-11-12
Researchers will build advanced models from complex brain and biological data to better understand suicide risk and emotional and cognitive responses, with the goal of improving prediction and prevention for people at risk.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York State Psychiatric Institute Dba Research Foundation for Mental Hygiene, INC NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | August 1, 2026 |
| Project end | July 31, 2031 |
| Funding year | 2026 |
| Award (this year) | $164,943 |
| NIH project number | 1P50MH139573-01A1 |
| Project ID | NIH-11349218 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals at risk for suicide or with related mood and cognitive challenges who could participate in neuroimaging, biological sampling, or related longitudinal research.
✕Less likely to help
People without risk factors or not contributing to the specific data types (brain imaging or biological measures) may not benefit.
What this research studies
This project uses large, complex data from brain imaging and biological measures to create powerful statistical models that link brain activity and biology to suicidal behavior. It aims to develop new methods for fitting and validating these models, and to move from descriptive findings toward causal insights that could inform prevention. The work includes simulations and real-data analyses to test how well these models predict future risk and how they might be used in prospective studies. While centered in a psychiatric research setting, the focus is on human data and real-world implications for individuals at risk.
Why it matters
Potential benefit: If successful, it could improve early identification of individuals at risk for suicide and guide more effective prevention strategies based on brain and biological indicators.
How similar studies have gone: Previous work shows that complex models can better capture risk signals from high-dimensional brain and biological data, but causal modeling in this area remains challenging and promising.
Where this research is happening
-
New York State Psychiatric Institute Dba Research Foundation for Mental Hygiene, INC
New York, United States Active
Researchers
- Principal investigator: Ogden, Todd — New York State Psychiatric Institute Dba Research Foundation for Mental Hygiene, INC
- Study coordinator: Ogden, Todd
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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.