Predicting outcomes for people at high risk of psychosis
Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT)
This project combines symptoms, brain imaging, biological tests, and other health data to predict future outcomes for young people showing early signs of psychosis.
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-11374085 on NIH RePORTER |
What this research studies
If you are identified as being at Clinical High Risk (CHR) for psychosis, you could be included in an international effort that pools clinical, cognitive, brain imaging, biological, and genetic data. Researchers analyze patterns across these different types of information to predict who may develop a psychotic disorder, who may have persistent symptoms or other mental health conditions, and who may recover. The team aims to turn those prediction models into practical tools clinicians can use in clinics to guide early, personalized care. The work combines data from the University of Melbourne and partner sites worldwide to improve accuracy and make tools usable across locations.
Who could benefit from this research
Good fit: Ideal candidates are young people identified as Clinical High Risk (CHR) for psychosis, such as those with recent subthreshold psychotic symptoms, notable functional decline, or relevant family history.
Not a fit: People without CHR features or those already diagnosed with a full psychotic disorder are unlikely to be eligible or to directly benefit from this specific prediction-focused work.
Why it matters
Potential benefit: If successful, clinicians could identify earlier who needs more intensive support and tailor treatments to prevent or reduce psychosis and disability.
How similar studies have performed: Previous studies using clinical, cognitive, and imaging data have had only modest success at predicting outcomes, and this larger pooled approach aims to improve on those results.
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.