Spoken Language Alterations can Predict Phenoconversion in Isolated <scp>rapid eye movement</scp> Sleep Behavior Disorder: A Multicentric Study-Reference-Cited by-同舟云学术

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

Published:2023-12-09 Issue: Volume: Page:
ISSN:0364-5134
Container-title:Annals of Neurology
language:en
Short-container-title:Annals of Neurology

Author:

Šubert Martin¹^ORCID,Novotný Michal¹,Tykalová Tereza¹,Hlavnička Jan¹,Dušek Petr²^ORCID,Růžička Evžen²^ORCID,Škrabal Dominik²,Pelletier Amelie³⁴,Postuma Ronald B.³⁴,Montplaisir Jacques⁴,Gagnon Jean‐François⁴,Galbiati Andrea⁵⁶^ORCID,Ferini‐Strambi Luigi⁵⁶^ORCID,Marelli Sara⁵,St. Louis Erik K.⁷⁸^ORCID,Timm Paul C.⁷,Teigen Luke N.⁷,Janzen Annette⁹,Oertel Wolfgang⁹,Heim Beatrice¹⁰^ORCID,Holzknecht Evi¹⁰,Stefani Ambra¹⁰^ORCID,Högl Birgit¹⁰,Dauvilliers Yves¹¹^ORCID,Evangelista Elisa¹¹,Šonka Karel²,Rusz Jan¹²¹²^ORCID

Affiliation:

1. Department of Circuit Theory, Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic

2. Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine Charles University and General University Hospital Prague Czech Republic

3. Department of Neurology Research Institute of the McGill University Health Centre, Montreal General Hospital Montreal Quebec Canada

4. Center for Advanced Research in Sleep Medicine, CIUSSS‐NÎM – Hôpital du Sacré‐Coeur de Montréal Montreal Quebec Canada

5. Sleep Disorders Center, Division of Neuroscience Ospedale San Raffaele, Università Vita‐Salute Milan Italy

6. Department of Psychology “Vita‐Salute” San Raffaele University Milan Italy

7. Mayo Center for Sleep Medicine, and Sleep Behavior and Neurophysiology Research Laboratory, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine Mayo Clinic College of Medicine and Science Rochester Rochester MN USA

8. Mayo Clinic Health System Southwest Wisconsin La Crosse WI USA

9. Department of Neurology Philipps University Marburg Marburg Germany

10. Department of Neurology Medical University of Innsbruck Innsbruck Austria

11. National Reference Network for Narcolepsy, Sleep‐Wake Disorder Unit, Department of Neurology, Gui‐de‐Chauliac Hospital CHU Montpellier, INSERM, University of Montpellier Montpellier France

12. Department of Neurology & ARTORG Center Inselspital, Bern University Hospital, University of Bern Bern Switzerland

Abstract

ObjectiveThis 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).MethodsPatients 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.ResultsOf 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).InterpretationAutomated 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

Funder

Canadian Institutes of Health Research

České Vysoké Učení Technické v Praze

Ministerstvo Školství, Mládeže a Tělovýchovy

Ministerstvo Zdravotnictví Ceské Republiky

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ana.26835

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