Speech Differences between Multiple System Atrophy and Parkinson's Disease.

Area of Science:

• Neurology
• Speech-Language Pathology
• Biomarker Discovery

Background:

• Distinguishing early Parkinson's disease (PD) from multiple system atrophy (MSA) is clinically challenging.
• Speech characteristics are recognized digital biomarkers for PD and ataxia, but data for MSA is scarce.

Purpose of the Study:

• To investigate the utility of speech characteristics as a digital biomarker for differentiating MSA from PD.
• To assess if speech analysis can aid in early diagnosis of neurodegenerative conditions.

Main Methods:

• Speech assessments including text reading, sustained phonation, and diadochokinetic tasks were performed on 21 MSA and 23 PD patients.
• Speech features were extracted using Praat software for detailed acoustic analysis.

Main Results:

• Three key speech factors differentiated MSA and PD.
• MSA speech showed increased reading pauses, pitch variability, syllable duration, and irregular rhythm (ROC-AUC 0.89).
• Speech characteristics correlated significantly with motor impairment and overall disease severity.

Conclusions:

• Speech analysis accurately differentiates MSA from PD.
• Speech patterns offer a promising, non-invasive digital biomarker for early differential diagnosis in neurodegenerative diseases.