Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis (PLATA)
Recruiting · NCT05943834 · Observational (researchers observe without assigning treatment) · Lead sponsor: Centre Hospitalier Universitaire de Nice
View the official record on ClinicalTrials.gov →Interventions studied
Series of cognitive tasks during a semi-automated call
What this trial is about
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.
Who can take part
Age range
50 Years to 100 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
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
Where it is running
1 location listed.
- CHU de Nice - Nice, France