Spoken Language Alterations can Predict Phenoconversion in Isolated rapid eye movement Sleep Behavior Disorder: A Multicentric Study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00372850" target="_blank" >RIV/68407700:21230/24:00372850 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1002/ana.26835" target="_blank" >https://doi.org/10.1002/ana.26835</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/ana.26835" target="_blank" >10.1002/ana.26835</a>

Result language

angličtina

Original language name

Spoken Language Alterations can Predict Phenoconversion in Isolated rapid eye movement Sleep Behavior Disorder: A Multicentric Study

Original language description

Objective: This study assessed the relationship between speech and language impairment and outcome in a multicenter cohort of isolated/idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD).Methods: Patients with iRBD from 7 centers speaking Czech, English, German, French, and Italian languages underwent a detailed speech assessment at baseline. Story-tale narratives were transcribed and linguistically annotated using fully automated methods based on automatic speech recognition and natural language processing algorithms, leading to the 3 distinctive linguistic and 2 acoustic patterns of language deterioration and associated composite indexes of their overall severity. Patients were then prospectively followed and received assessments for parkinsonism or dementia during follow-up. The Cox proportional hazard was performed to evaluate the predictive value of language patterns for phenoconversion over a follow-up period of 5 years.Results: Of 180 patients free of parkinsonism or dementia, 156 provided follow-up information. After a mean follow-up of 2.7 years, 42 (26.9%) patients developed neurodegenerative disease. Patients with higher severity of linguistic abnormalities (hazard ratio [HR = 2.35]) and acoustic abnormalities (HR = 1.92) were more likely to develop a defined neurodegenerative disease, with converters having lower content richness (HR = 1.74), slower articulation rate (HR = 1.58), and prolonged pauses (HR = 1.46). Dementia-first (n = 16) and parkinsonism-first with mild cognitive impairment (n = 9) converters had higher severity of linguistic abnormalities than parkinsonism-first with normal cognition converters (n = 17).Interpretation: Automated language analysis might provide a predictor of phenoconversion from iRBD into synucleinopathy subtypes with cognitive impairment, and thus can be used to stratify patients for neuroprotective trials. ANN NEUROL 2023

Czech name

—

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

—

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

2024

Confidentiality

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

Name of the periodical

Annals of Neurology

ISSN

0364-5134

e-ISSN

1531-8249

Volume of the periodical

95

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

530-543

UT code for WoS article

001118512800001

EID of the result in the Scopus database

2-s2.0-85179320601