Clinical trial NCT03525054: Semantic and Syntactic Computerized Analysis of Free Speech
Official title: Semantic and Syntactic Computerized Analysis of Free Speech
Study type: OBSERVATIONAL
Overall status: RECRUITING
Conditions: Psychotic Disorders
Psychosis
Schizophrenia and Related Disorders
Schizophrenia Prodromal
Diagnosis, Psychiatric
Keywords: Psychotic Disorders
Diagnosis, Psychiatric
Schizophrenia Prodromal
Ultra High Risk
Prediction Of Psychosis
Machine Learning
Automated Language Analysis
Semantic Coherence
Syntaxic Complexity
Lead sponsor: University Hospital, Brest
Sponsor class: OTHER
First posted: 2018-05-15
Enrollment: 150
Sex: ALL
Minimum age (years): 15
Maximum age (years): 30
Standard ages: CHILD
ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Help-seekers patients are recruited during two years from the early psychosis detection centers in Brest, France (CEVUP), Paris, France (CJAAD) and in Lausanne, Switzerland

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.

Eligibility criteria: 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

Primary outcomes:
measure: Transition to schizophrenia
timeFrame: 2 years
Secondary outcomes:
measure: Identification of patients at "ultra high risk " for developing schizophrenia
timeFrame: Day 0
Other outcomes:
Locations:
city: Brest
country: France
facility: CHRU de Brest
city: Caen
country: France
facility: Meunier Sophie
city: Paris
country: France
facility: CH de SAINT ANNE
Study officials:
References: