Automated analysis of spoken language differentiates multiple system atrophy from Parkinson's disease.

ABSTRACT:

Background and objectives

Patients with synucleinopathies such as multiple system atrophy (MSA) and Parkinson's disease (PD) frequently display speech and language abnormalities. We explore the diagnostic potential of automated linguistic analysis of natural spontaneous speech to differentiate MSA and PD.

Methods

Spontaneous speech of 39 participants with MSA compared to 39 drug-naive PD and 39 healthy controls matched for age and sex was transcribed and linguistically annotated using automatic speech recognition and natural language processing. A quantitative analysis was performed using 6 lexical and syntactic and 2 acoustic features. Results were compared with human-controlled analysis to assess the robustness of the approach. Diagnostic accuracy was evaluated using sensi

SUBMITTER: Subert M 

PROVIDER: S-EPMC11735538 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature