Predicting pathways for young people at high risk for psychosis
Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT)
This project aims to create tools that combine clinical, brain imaging, and genetic information to predict which young people at clinical high risk will develop psychosis or other long-term outcomes.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Melbourne NIH-funded |
| Lab location | 1 site (Melbourne, Australia) |
| Project ID | NIH-11373918 on NIH RePORTER |
What this research studies
You would join an international effort that brings together data from clinics around the world, including symptoms, functioning, brain scans, biological markers, and genetic information. Researchers will combine existing and new participant data to build and test computer models that forecast different outcomes like developing psychosis, ongoing symptoms, or recovery. The team will validate these prediction tools across many sites so they can work reliably for individuals. If successful, the tools would be packaged for use in clinics to help guide early treatment decisions.
Who could benefit from this research
Good fit: Ideal candidates are adolescents and young adults identified as being in the clinical high risk (CHR) state—people with recent distress, declining function, or subthreshold psychotic symptoms seen at participating early-intervention clinics.
Not a fit: People without CHR signs, those with an established psychotic disorder, or individuals not seen at participating clinics are unlikely to directly benefit from this project.
Why it matters
Potential benefit: If successful, this work could give clinicians better tools to identify who needs early, targeted treatment and who may recover without intensive intervention.
How similar studies have performed: Previous prediction efforts using clinical, cognitive, imaging, and genetic data have shown only modest accuracy, so this larger, multimodal consortium approach aims to improve and validate more reliable tools.
Where this research is happening
Melbourne, Australia
- University of Melbourne — Melbourne, Australia (Active)
Researchers
- Principal investigator: Nelson, Christopher Barnaby — University of Melbourne
- Study coordinator: Nelson, Christopher Barnaby
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.