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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00380208" target="_blank" >RIV/68407700:21230/25:00380208 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/25:10491005 RIV/00064165:_____/25:10491005

Result on the web

<a href="https://doi.org/10.1007/s00415-024-12828-w" target="_blank" >https://doi.org/10.1007/s00415-024-12828-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00415-024-12828-w" target="_blank" >10.1007/s00415-024-12828-w</a>

Result language

angličtina

Original language name

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

Original language description

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 sensitivity analysis. Results Despite similar disease duration, linguistic abnormalities were generally more severe in MSA than in PD, leading to high diagnostic accuracy with an area under the curve of 0.81. Compared to controls, MSA showed decreased grammatical component usage, more repetitive phrases, shorter sentences, reduced sentence development, slower articulation rate, and increased duration of pauses, whereas PD had only shorter sentences, reduced sentence development, and longer pauses. Only slower articulation rate was distinctive for MSA while unchanged for PD relative to controls. The highest correlation was found between bulbar/pseudobulbar clinical score and sentence length (r = -0.49, p = 0.002). Despite the relatively high severity of dysarthria in MSA, a strong agreement between manually and automatically computed results was achieved. Discussion Automated linguistic analysis may offer an objective, cost-effective, and widely applicable biomarker to differentiate synucleinopathies with similar clinical manifestations.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30210 - Clinical neurology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Neurology

ISSN

0340-5354

e-ISSN

1432-1459

Volume of the periodical

272

Issue of the periodical within the volume

2

Country of publishing house

DE - GERMANY

Number of pages

13

Pages from-to

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UT code for WoS article

001398122800033

EID of the result in the Scopus database

2-s2.0-85215759467