Predicting outcomes 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 creates tools using medical notes, brain scans, cognitive tests, and genetic information to better predict what will happen to 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-11373923 on NIH RePORTER |
What this research studies
This project brings together data from clinics worldwide to learn how young people with early or subthreshold psychotic symptoms progress over time. Researchers combine clinical records, cognitive testing, brain imaging, biological markers and genetics to build prediction models for outcomes such as developing a psychotic disorder, persistent symptoms, or recovery. The models will be validated and turned into clinical tools that clinicians can use in practice. The goal is to help match each young person to the right level of care earlier.
Who could benefit from this research
Good fit: Ideal participants are young people showing early or subthreshold psychotic symptoms (clinical high risk) who can provide clinical information and agree to assessments or biospecimen/scan data sharing.
Not a fit: People with long-established psychotic disorders, those without early/subthreshold symptoms, or those unwilling/unable to provide clinical or imaging/genetic data are unlikely to be eligible or benefit directly from this project.
Why it matters
Potential benefit: If successful, the work could help clinicians 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, and this international consortium aims to improve performance by pooling larger, multimodal datasets.
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.