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

NCT05943834 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-03-19

No results posted yet for this study

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.

Conditions

  • Neurocognitive Disorders

Interventions

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)

Sponsors & Collaborators

  • Centre Hospitalier Universitaire de Nice

    lead OTHER

Principal Investigators

  • Eric ETTORE, MD · Centre Hospitalier Universitaire de Nice

Eligibility

Min Age
50 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-07-13
Primary Completion
2027-10-10
Completion
2027-10-10

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05943834 on ClinicalTrials.gov