Using Voice Biomarkers to Predict the Likelihood of Major Depressive Disorder

Completed

Conditions studied: Major Depressive Disorder

In brief

Major Depressive Disorder (MDD) is the leading cause of disability worldwide. Depression and anxiety disorders are among the most prevalent of all mental disorders, with an estimated annual prevalence of 9.7% and 18.1% respectively. It has been known for the last 100 years that depression and anxiety both likely affect vocal acoustic properties. In 1921, Emil Kraepelin, characterized depressed patient's voices as having a lower pitch, lower volume, lower rate of speech, more monotony of prosody as well as more hesitations, stuttering, and whispering. Mechanistically, it is possible that the neural circuitry involved in the pathophysiology of mood and anxiety disorders impinge upon the neural circuit involved in speech production, affecting qualities that include rate, prosody, speech latency and other paralinguistic features. Thus, acoustic features of speech may be one of the more readily accessible biomarkers for these conditions. Given this understanding, the investigators sought to develop a passive vocal biomarker instrument for depression and anxiety screening that could markedly expand access as well as standardize the quality of screening in primary care settings.

Key facts

Study ID
NCT04874077
Run by
Kintsugi Mindful Wellness, Inc.
People needed
97
Starts
2021-04-21
Expected to finish
2021-09-04
Last updated by the study team
2022-07-06

Who can join

Age: 18 and older, up to 100. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.