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NCT Number: NCT05943834

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

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.

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Key information

Conditions

Neurocognitive Disorders Alzheimer Disease Brain Diseases Central Nervous System Diseases Dementia Mental Disorders Mood Disorders Nervous System Diseases Neurodegenerative Diseases Tauopathies

Age range

50 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

CHU de Nice

Nice, 06100, France

Location status: Recruiting

Location contact

Alexandra Konig

SUB_INVESTIGATOR

Foussat Valérie

CONTACT

Lemaire Justine

CONTACT

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Series of cognitive tasks during a semi-automated call

Other

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)

Primary outcomes

  1. Build and validate speech-based machine learning models for relevant Phenotype detection through access to phenotyped patients from reference memory center.

    Time frame: 20 minutes

    Speech biomarker algorithm(s)

Study contacts

Contact information is provided by the study sponsor or research team.

Eric ETTORE, MD

CONTACT

[email protected]

04.92.03.47.70

Sponsors and collaborators

Lead sponsor

Centre Hospitalier Universitaire de Nice

Other

Registry information

Official study title

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

Acronym: PLATA

Important dates

Study start
2023
Primary completion
2027
Study completion
2027
First posted
Jul 13, 2023
Registry last updated
Mar 19, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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