Identifying first-episode psychosis patients who do not respond to first-line treatment
Official title: Early Identification of Patients Presenting a First Psychotic Episode, Non Answering to First Line Support Strategies: A Multicentric Study
Run by Centre Hospitalier Universitaire de Saint Etienne · NCT02670447 · Data updated 2026-11-12
This project will try to see if MRI brain markers and machine-learning methods can predict which people aged 18–35 with a first episode of psychosis will not have symptom remission after three months.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 35 Years |
| Sex | All |
| Enrollment | 80 (estimated) |
| Sponsor | Centre Hospitalier Universitaire de Saint Etienne Academic / other |
| Locations | 5 sites (Bron and 4 other locations) |
| Status | Recruiting |
| Started | December 11, 2025 |
| Main results expected | April 2030 |
| Study ends | April 2031 |
| Registry record updated | September 22, 2026 |
| Trial ID | NCT02670447 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are antipsychotic-naive adults aged 18–35 with a DSM-5 diagnosis of schizophrenia, schizoaffective, or schizophreniform disorder who can undergo MRI and provide informed consent.
✕Probably not a fit
Patients older than 35, those already treated with antipsychotics, pregnant or breastfeeding individuals, or those with MRI contraindications or major somatic/neurological disease are unlikely to benefit from this protocol.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is an observational, multicenter project using MRI-derived radiological markers and multivariate machine-learning techniques to predict lack of symptomatic remission at three months in first-episode psychosis patients. Participants are antipsychotic-naive adults aged 18–35 diagnosed with schizophrenia-spectrum disorders and will undergo MRI and clinical follow-up. The study links changes in objective imaging markers with clinical measures over time to identify predictors of early non-response. Findings aim to refine early-care pathways by identifying patients who may need intensified or alternative interventions.
Why it matters
Potential benefit: If successful, clinicians could identify likely non-responders early and tailor more intensive or alternative care plans sooner.
How similar studies have gone: Previous radiological studies and machine-learning work in neurology have shown promise for prediction, but applying MRI-based automatic learning specifically to predict three-month non-response in first-episode psychosis is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * men and women aged 18-35 years * member or beneficiary of a social security scheme, * for women, appropriate contraception will be mandatory, as well as a negative pregnancy test, * patients with a diagnosis of schizophrenia, schizoaffective disorder or schizophreniform disorder according to the DMS V * having never received anti-psychotic treatment, * followed in the hospital or outpatient, * having given their written informed consent, * that the physical examination revealed no significant clinical abnormalities Exclusion Criteria: * Female patients of childbearing period without effective contraception (oral, intramuscular hormonal, intrauterine device, or surgical); * Patients pregnant or nursing; * Presenting a serious somatic or neurological disease, especially Parkinson's disease, epilepsy, debilitating tardive dyskinesia, cardiovascular disease, severe liver or kidney; * Featuring against-indication for an MRI; including: metallic foreign body eye or intracranial, pacemaker, heart valve, surgical clips, claustrophobia, large tattoo in the upper part of the body, not compatible with 3T MRI * Having a history of alcohol or drug abuse in the past year; * Participating in another clinical trial or being in an exclusion period of the previous protocol; * Patients likely to exhibit aggressive behavior self according to the judgment of the investigators.
Where it's running
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Chu Saint Etienne
Saint-Etienne, France Recruiting -
Chu Le Vinatier
Bron, France Not yet recruiting -
Chu Clermont-Ferrand
Clermont-Ferrand, France Not yet recruiting -
Chu Grenoble
Grenoble, France Not yet recruiting -
HÔPITAL Edouard Herriot
Lyon, France Not yet recruiting
Study contacts
- Principal investigator: Eric FAKRA, MD PhD — Centre Hospitalier Universitaire de Saint Etienne
- Study coordinator: Eric FAKRA, MD PhD
- Email: eric.fakra@chu-st-etienne.fr
- Phone: (0)477127885
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.