Semantic and Syntactic Computerized Analysis of Free Speech

Study Overview
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Brief Summary
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Subtle speech disorganization could be predictive of a transition to schizophrenia of ultra-high-risk patients. The aim of our longitudinal multicenter cohort study is to identify specific linguistic markers of the psychotic transition to validate a french predictive model of this transition using computerized speech analysis techniques

Detailed Description
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Different scales allow identification of patients at ultra-high-risk to develop psychosis. The current challenge is to identify a predictive marker of transition to schizophrenia. Language disorders, which reflect psyche, could be one of these markers. Computerized speech analysis techniques such as Latent Semantic Analysis (LSA) have already proven their reliability in schizophrenia. These techniques reveal subtle speech disorganization that would be predictive of a clinical transition of ultra-high-risk psychotic patients. A combination of semantic and syntactic analysis could accurately predict the psychotic transition. The aim of our longitudinal multicenter cohort study is to validate this predicitve model in french language as well as identifying specific linguistic markers of the psychotic transition. The initial report including the CAARMS is completed with an audio recording from the initial medical interview. The recording will be transcribed and analyzed by computer following the method of lemmatization and vectorial analysis (LSA). An analysis of the grammatical function (number of words, rate of the various grammatical functions) will also be performed. This first analysis will emerge linguistic markers correlated to transition to psychosis that we will use to construct a predictive model for transition to schizophrenia.

Official Title
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Semantic and Syntactic Computerized Analysis of Free Speech

Conditions
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Psychotic Disorders, Psychosis, Schizophrenia and Related Disorders, Schizophrenia Prodromal, Diagnosis, Psychiatric

Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Major and/or minor from 15 to 30 years old Who alleged a suicidal gesture or idea or behavior that has repercussions in their emotional, social or professional life If patients receive neuroleptic treatment that impairs cognitive abilities, a one-week wash-out period will be scheduled prior to assessment. Exclusion Criteria: History of psychosis Risk of self-harm or violence not compatible with outpatient treatment QI<70 (WAIS) Neurological disorder or major health problem Impossibility to interrupt neuroleptic treatment for one week Refusal to participate

Ages Eligible for Study
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Minimum Age: 15 Years
Maximum Age: 30 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Transition to schizophrenia | Determined from the CAARMS scale (COMPREHENSIVE ASSESSMENT OF AT RISK MENTAL STATES) | 2 years | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Identification of patients at ultra high risk  for developing schizophrenia | Determined from the CAARMS scale ( COMPREHENSIVE ASSESSMENT OF AT RISK MENTAL STATES) | Day 0 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Syntaxic Complexity, Psychotic Disorders, Diagnosis, Psychiatric, Schizophrenia Prodromal, Ultra High Risk, Prediction Of Psychosis, Machine Learning, Automated Language Analysis, Semantic Coherence