NIH-funded research R21 grant

Understanding how symptoms, thinking skills, daily functioning, and stress interact to predict psychosis in at-risk youth

Official title: Examining the Interplay of Clinical Symptoms, Neurocognition, Functioning, and Stressful Events in Individuals at Clinical High Risk for Developing Psychosis: A Network Analysis Approach

Funded at Feinstein Institute for Medical Research · NIH-11374227 · Data updated 2026-11-12

A new NIH grant will map how clinical symptoms, thinking abilities, everyday functioning, and stressful events combine to influence the chance of developing psychosis in young people at high risk.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionFeinstein Institute for Medical Research
NIH-funded
Lab location1 site (Manhasset, United States)
Project startJuly 24, 2026
Project endJuly 23, 2028
Funding year2026
Award (this year)$460,625
NIH project number1R21MH141228-01A1
Project IDNIH-11374227 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are adolescents and young adults identified as clinical high risk for psychosis who can participate in multi-domain assessments.

Less likely to help

Individuals not at clinical high risk for psychosis or those unwilling to participate in longitudinal assessments may not benefit.

What this research studies

This project will analyze data from more than 2,000 individuals who are at clinical high risk for psychosis. Using network analysis, researchers will treat multiple factors as a connected system to identify which elements most strongly drive progression toward psychosis. The goal is to create a multi-domain map that highlights pivotal pathways and potential targets for early, personalized interventions. By focusing on how factors reinforce each other rather than isolated risks, the study aims to inform precision prevention strategies for CHR-P individuals.

Why it matters

Potential benefit: If successful, the work could guide earlier, more targeted interventions to prevent psychosis and improve long-term outcomes for at-risk youth.

How similar studies have gone: Previous studies have shown that network approaches can reveal influential factors, but this is among the first large-scale multi-domain network analyses in CHR-P populations.

Where this research is happening

  • Feinstein Institute for Medical Research
    Manhasset, United States
    Active

Researchers

  • Principal investigator: Carrion, Ricardo — Feinstein Institute for Medical Research
  • Study coordinator: Carrion, Ricardo

Related research

Other NIH-funded projects on the same topics.

  • Psychosis in diverse settings across the world

    This project studies how psychotic disorders show up and respond to treatment in adults with diverse backgrounds, including populations in Africa, the Caribbean, and other Global South settings.

    NIH research Suny Downstate Medical Center · Brooklyn, United States · NIH-11592428

  • Psychosis in Diverse Settings: Understanding Symptoms and Treatment Across Global South

    A human-facing study will look at how psychotic disorders present and respond to treatment in adults from Africa, the Caribbean, and other Global South settings, using genetic and clinical data.

    NIH research Suny Downstate Medical Center · Brooklyn, United States · NIH-11592427

  • A new online brain-scan-style tool to spot early psychosis risk

    A new online-based set of tasks and a computer model aims to identify people at high risk for developing psychosis earlier and more accurately.

    NIH research Northwestern University · Chicago, United States · NIH-11590585

  • Genetic clues for early-onset psychosis in Latino youth

    This project looks at the genes of young people with early-onset psychosis and compares them with similar youths without psychosis to find genetic factors that contribute to the illness.

    NIH research Boston Children's Hospital · Boston, United States · NIH-11554752

  • Biomarkers to tailor rehab for Veterans with schizophrenia

    A clinician-scientist is developing a brain-based biomarker to guide personalized rehabilitation for Veterans with schizophrenia.

    NIH research VA San Diego Healthcare System · San Diego, United States · NIH-11552825

  • Computational analysis of facial expression in early psychosis

    Aims to develop computer-based measures of facial expression in people at risk for or with schizophrenia to help track symptoms and guide future trials.

    NIH research Icahn School of Medicine at Mount Sinai · New York, United States · NIH-11539126

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.
Last reviewed 2026-11-14 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.