The voice of depression: speech features as biomarkers for major depressive disorder.

ABSTRACT:

Background

Psychiatry faces a challenge due to the lack of objective biomarkers, as current assessments are based on subjective evaluations. Automated speech analysis shows promise in detecting symptom severity in depressed patients. This project aimed to identify discriminating speech features between patients with major depressive disorder (MDD) and healthy controls (HCs) by examining associations with symptom severity measures.

Methods

Forty-four MDD patients from the Psychiatry Department, University Hospital Aachen, Germany and fifty-two HCs were recruited. Participants described positive and negative life events, which were recorded for analysis. The Beck Depression Inventory (BDI-II) and the Hamilton Rating Scale for Depression gauged depression severity. Transcribed

SUBMITTER: Menne F 

PROVIDER: S-EPMC11559157 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature