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Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis (PLATA)
Sponsor: Centre Hospitalier Universitaire de Nice
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.
Official title: Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis
Key Details
Gender
All
Age Range
50 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2023-07-13
Completion Date
2027-10-10
Last Updated
2026-03-19
Healthy Volunteers
No
Conditions
Interventions
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)
Locations (1)
CHU de Nice
Nice, France