NCT05943834

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

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

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 100 (estimated)
• Sponsor: Centre Hospitalier Universitaire de Nice · Academic / Other
• Sex: All
• Age: 50 Years – 100 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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)

Timeline

• Start date: 2023-07-13
• Primary completion: 2027-10-10
• Completion: 2027-10-10
• First posted: 2023-07-13
• Last updated: 2026-03-19

Locations

1 site across 1 country: France