Diagnosis, Psychiatric, Psychosis, Psychotic Disorders, Schizophrenia and Related Disorders, Schizophrenia Prodromal
Conditions
Keywords
Psychotic Disorders, Diagnosis, Psychiatric, Schizophrenia Prodromal, Ultra High Risk, Prediction Of Psychosis, Machine Learning, Automated Language Analysis, Semantic Coherence, Syntaxic Complexity
Brief summary
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
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.
Interventions
None listed
Sponsors
University Hospital, Brest
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
15 Years to 30 Years
Healthy volunteers
No
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. * Affiliated with or beneficiary of a health insurance/social security system * Able and willing to provide written informed consent
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Transition to schizophrenia | 2 years | Determined from the CAARMS scale (COMPREHENSIVE ASSESSMENT OF AT RISK MENTAL STATES) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Identification of patients at "ultra high risk " for developing schizophrenia | Day 0 | Determined from the CAARMS scale ( COMPREHENSIVE ASSESSMENT OF AT RISK MENTAL STATES) |
Countries
France
Contacts
CONTACTChristophe LEMEY, Doctor
Outcome results
None listed