Your voice could reveal which brain disease you have

NCT ID NCT05807373

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether digital analysis of voice recordings can help doctors tell apart Parkinson's disease and multiple system atrophy, two brain disorders with similar early symptoms. Researchers recorded the voices of 28 people (patients with each condition and healthy controls) and analyzed acoustic features. The goal is to develop an objective, non-invasive tool to improve early diagnosis and guide patient care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to

If successful, this could lead to a simple, non-invasive voice test to help doctors distinguish between Parkinson's disease and multiple system atrophy early on.

What could go wrong

This is a small, completed study with only 28 participants, so results may not apply to everyone. The voice analysis tool needs further validation before it can be used in clinics.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for PARKINSON DISEASE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

Dysarthria multiple system atrophy Parkinson disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • CHU de Bordeaux - Institut des maladies neurodégénératives de Bordeaux

    Bordeaux, 33000, France

  • Centre Hospitalier Universitaire de Toulouse

    Toulouse, 31000, France