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Predicting Psychotic Relapse Using Speech-Based Early Detection
Sponsor: Douglas Mental Health University Institute
Summary
Psychotic disorders, including schizophrenia and affective psychosis, are severe mental health conditions marked by recurrent episodes that contribute to long-term disability. Relapses, characterized by the re-emergence of psychotic symptoms after remission, are a critical factor in the progression of these disorders, increasing risks such as suicide, cognitive impairment, and unemployment. This study aims to develop a novel, speech-based digital model to predict relapses in individuals with psychosis. Building on previous research into language abnormalities in schizophrenia, the study will employ a longitudinal design across Early Psychosis Intervention (EPI) clinics in Ontario and Quebec to advance relapse prediction
Key Details
Gender
All
Age Range
16 Years - Any
Study Type
OBSERVATIONAL
Enrollment
250
Start Date
2024-05-27
Completion Date
2029-07-01
Last Updated
2025-05-18
Healthy Volunteers
No
Conditions
Locations (3)
Robarts Research Institute
London, Ontario, Canada
Douglas Mental Health University Institute
Montreal, Quebec, Canada
Vitam
Québec, Quebec, Canada