ASESID: Semantic and Syntactic Computerized Analysis of Free Speech

Sponsor

University Hospital, Brest (Other)

Overall Status

Recruiting

CT.gov ID

NCT03525054

Collaborator

(none)

150

Enrollment

Locations

61.4

Anticipated Duration (Months)

Patients Per Site

0.8

Patients Per Site Per Month

Study Details

Study Description

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

Condition or Disease	Intervention/Treatment	Phase
Psychotic Disorders Psychosis Schizophrenia and Related Disorders Schizophrenia Prodromal Diagnosis, Psychiatric

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.

Study Design

Study Type:

Observational

Anticipated Enrollment :

150 participants

Observational Model:

Cohort

Time Perspective:

Prospective

Official Title:

Semantic and Syntactic Computerized Analysis of Free Speech

Actual Study Start Date :

May 18, 2018

Anticipated Primary Completion Date :

Jun 30, 2023

Anticipated Study Completion Date :

Jun 30, 2023

Outcome Measures

Primary Outcome Measures

Transition to schizophrenia [2 years]
Determined from the CAARMS scale (COMPREHENSIVE ASSESSMENT OF AT RISK MENTAL STATES)

Secondary Outcome Measures

Identification of patients at "ultra high risk " for developing schizophrenia [Day 0]
Determined from the CAARMS scale ( COMPREHENSIVE ASSESSMENT OF AT RISK MENTAL STATES)

Eligibility Criteria

Criteria

Ages Eligible for Study:

15 Years to 30 Years

Sexes Eligible for Study:

All

Accepts Healthy Volunteers:

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
Patient at risk 1, 2 or 3 according to the CAARMS score
If patients receive neuroleptic treatment that impairs cognitive abilities, a one-week wash-out period will be scheduled prior to assessment.