Semantic and Syntactic Computerized Analysis of Free Speech

NCT ID: NCT03525054

Last Updated: 2024-09-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-05-18

Study Completion Date

2028-05-02

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.

Conditions

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

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

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
Minimum Eligible Age

15 Years

Maximum Eligible Age

30 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Brest

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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CHRU de Brest

Brest, , France

Site Status RECRUITING

Meunier Sophie

Caen, , France

Site Status NOT_YET_RECRUITING

CH de SAINT ANNE

Paris, , France

Site Status RECRUITING

Countries

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France

Central Contacts

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Michel WALTER

Role: CONTACT

02-98-01-51-57

Christophe LEMEY

Role: CONTACT

Facility Contacts

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Michel WALTER

Role: primary

Sophie Meunier

Role: primary

Marie-Odile KREBS

Role: primary

Other Identifiers

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ASESID (29BRC17.0198)

Identifier Type: -

Identifier Source: org_study_id

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