Understanding early signs of psychosis

ProNET: Psychosis-Risk Outcomes Network

NIH-funded research Yale University · NIH-11382681

This project collects brain scans, tests, and phone data from people at high risk for psychosis to find patterns that predict who may develop a psychotic disorder.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionYale University NIH-funded
Lab location1 site (New Haven, United States)
Project IDNIH-11382681 on NIH RePORTER

What this research studies

You would join a network of sites that will follow about 1,040 people judged to be at clinical high risk for psychosis and 260 healthy volunteers over two years with eight visits. At visits they collect MRI and EEG brain measures, cognitive and symptom testing, genetic and body-fluid samples, natural speech recordings, and passive smartphone sensor and survey data. Biomarkers are measured at two timepoints to track brain–behavior changes over time and link these measures to clinical outcomes. The work is done across 26 international sites and aims to identify subgroups and markers that could guide future prevention or treatment.

Who could benefit from this research

Good fit: Ideal candidates are people identified as being at clinical high risk for psychosis who can attend repeated visits and complete scans, EEG, blood draws, cognitive tests, and smartphone monitoring.

Not a fit: People without signs of being at high risk, those with an established psychotic disorder, or anyone unable or unwilling to undergo MRI/EEG, blood draws, or smartphone monitoring may not benefit from this project.

Why it matters

Potential benefit: If successful, this could help spot who is most likely to develop psychosis earlier and support more personalized prevention or treatment plans.

How similar studies have performed: Smaller single-site and multisite studies have suggested MRI, EEG, speech, and digital markers can help predict psychosis risk, but this large, multimodal network is a novel effort to improve prediction.

Where this research is happening

New Haven, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-10 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.