Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis (PLATA)

Recruiting now

Conditions studied: Neurocognitive Disorders

In brief

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.

Key facts

Study ID

NCT05943834

Run by

Centre Hospitalier Universitaire de Nice

People needed

100

Starts

2023-07-13

Expected to finish

2027-10-10

Last updated by the study team

2026-03-19

Who can join

Age: 50 and older, up to 100. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

• 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

Where it is running

• CHU de Nice — Nice, France (enrolling)

Full record on ClinicalTrials.gov

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