- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05943834
Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis (PLATA) (PLATA)
Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis
PLATA aims to develop an algorithm to identify vocal biomarkers of Alzheimer's dementia.
Using data collected as part of routine care, speech patterns will be compared to known biomarkers of Alzheimer's disease, such as amyloid 1-42 and p-Tau in CSF (cerebrospinal fluid).
If biomarkers of speech can be identified in Alzheimer's disease, it is possible that patients and research participants will no longer need to undergo need to undergo the intensive and invasive baseline biomarker methods currently used, such as lumbar punctures and PET scans.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Eric ETTORE, MD
- Phone Number: 04.92.03.47.70
- Email: ettore.e@chu-nice.fr
Study Locations
-
-
-
Nice, France, 06100
- Recruiting
- CHU de Nice
-
Contact:
- Lemaire Justine
-
Contact:
- Foussat Valérie
-
Sub-Investigator:
- Alexandra Konig
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Participants will be recruited through the Memory Clinic at the Geriatric Hospital in Nice (Centre de Mémoire de Ressources et de Recherche, CHU de Nice, Institut Claude Pompidou 10 rue Molière, 06 100 NICE) with a minor or major neurocognitive disorder whose etiology is either:
- Probable Alzheimer's disease (positive AD biomarkers)
- Mood disorder
- Not related to a mood disorder and with negative AD biomarkers
Description
Inclusion Criteria:
- Age ≥ 50 years
- Diagnosis relevant biomarker and neuropsychological data already available
- Cognitively healthy to very mild dementia (CDR score max. 0.5)
- Sufficient knowledge of the study language to understand study information, non opposition form,and questionnaires
- Expression of non opposition
Exclusion Criteria:
- Hearing problems
- Patient protected by law, under guardianship or curator ship, or not able to participate in a clinical study according to the article L.1121-16 of the French Public Health Code
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Patients with a minor or major neurocognitive disorder
Every patient will receive one semi-automated phone call, during the call a series of cognitive tasks will be performed. Each task will be recorded in a secondary audio stream which records the participant responses to allow for deep speech analysis of performance on these tasks |
Tasks:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Build and validate speech-based machine learning models for relevant Phenotype detection through access to phenotyped patients from reference memory center.
Time Frame: 20 minutes
|
Speech biomarker algorithm(s)
|
20 minutes
|
Collaborators and Investigators
Investigators
- Principal Investigator: Eric ETTORE, MD, Centre Hospitalier Universitaire de Nice
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 23-PP-03
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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