Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis (PLATA)
Study Details
Study Description
Brief Summary
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.
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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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 |
Other: Series of cognitive tasks during a semi-automated call
Tasks:
Verbal learning recall (immediate) or Story Recall task (immediate)
Narrative Storytelling /free speech
Verbal fluency task
Verbal learning recall (delayed) or Story Recall task (delayed)
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Outcome Measures
Primary Outcome Measures
- Build and validate speech-based machine learning models for relevant Phenotype detection through access to phenotyped patients from reference memory center. [20 minutes]
Speech biomarker algorithm(s)
Eligibility Criteria
Criteria
Inclusion Criteria:
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Age ≥ 50 years
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Diagnosis relevant biomarker and neuropsychological data already available
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Cognitively healthy to very mild dementia (CDR score max. 0.5)
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Sufficient knowledge of the study language to understand study information, non opposition form,and questionnaires
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Expression of non opposition
Exclusion Criteria:
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Hearing problems
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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
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | CHU de Nice | Nice | France | 06100 |
Sponsors and Collaborators
- Centre Hospitalier Universitaire de Nice
Investigators
- Principal Investigator: Eric ETTORE, MD, Centre Hospitalier Universitaire de Nice
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 23-PP-03