Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease.

Jan Rusz (1, 2) , Jan Hlavnička (1) , Michal Novotný (1) , Tereza Tykalová (1) , Amélie Pelletier (3, 4) , Jacques Montplaisir (4) , Jean-François Gagnon (4) , Petr Dušek (1, 2) , Andrea Galbiati (5) , Sara Marelli (5) , Paul Timm (6) , Luke Teigen (6) , Annette Janzen (7) , Mahboubeh Habibi (7) , Ambra Stefani (8) , Evi Holzknecht (8) , Klaus Seppi (8) , Elisa Evangelista (9) , Anna-Laura Rassu (9) , Yves Dauvilliers (9, 10) , Birgit Högl (8) , Wolfgang Oertel (7) , Erik St Louis (6) , Luigi Ferini-Strambi (5) , Evžen Růžička (1, 2) , Ronald B. Postuma (4) , Karel Šonka (1, 2)

1 CTU - Czech Technical University in Prague
2 1. LF UK / 1st Faculty of Medicine - 1. lékařská fakulta, Univerzita Karlova [Praha, Česká republika] = First Faculty of Medicine, Charles University [Prague, Czech Republic]
3 Hôpital du Sacré-Coeur de Montréal
4 MUHC - McGill University Health Center [Montreal]
5 UniSR - Universita Vita Salute San Raffaele = Vita-Salute San Raffaele University [Milan, Italie]
6 Mayo Clinic [Rochester]
7 Philipps Universität Marburg = Philipps University of Marburg
8 IMU - Innsbruck Medical University = Medizinische Universität Innsbruck
9 CHRU Montpellier - Centre Hospitalier Régional Universitaire [Montpellier]
10 INM - Institut des Neurosciences de Montpellier

Objective: This multilanguage study used simple speech recording and high-end pattern analysis to provide sensitive and reliable noninvasive biomarkers of prodromal versus manifest α-synucleinopathy in patients with idiopathic rapid eye movement sleep behavior disorder (iRBD) and early-stage Parkinson disease (PD). Methods: We performed a multicenter study across the Czech, English, German, French, and Italian languages at 7 centers in Europe and North America. A total of 448 participants (337 males), including 150 with iRBD (mean duration of iRBD across language groups 0.5-3.4 years), 149 with PD (mean duration of disease across language groups 1.7-2.5 years), and 149 healthy controls were recorded; 350 of the participants completed the 12-month follow-up. We developed a fully automated acoustic quantitative assessment approach for the 7 distinctive patterns of hypokinetic dysarthria. Results: No differences in language that impacted clinical parkinsonian phenotypes were found. Compared with the controls, we found significant abnormalities of an overall acoustic speech severity measure via composite dysarthria index for both iRBD (p = 0.002) and PD (p < 0.001). However, only PD (p < 0.001) was perceptually distinct in a blinded subjective analysis. We found significant group differences between PD and controls for monopitch (p < 0.001), prolonged pauses (p < 0.001), and imprecise consonants (p = 0.03); only monopitch was able to differentiate iRBD patients from controls (p = 0.004). At the 12-month follow-up, a slight progression of overall acoustic speech impairment was noted for the iRBD (p = 0.04) and PD (p = 0.03) groups. Interpretation: Automated speech analysis might provide a useful additional biomarker of parkinsonism for the assessment of disease progression and therapeutic interventions. ANN NEUROL 2021;90:62-75.

Domaines: Neurosciences [q-bio.NC]

Jan Rusz, Jan Hlavnička, Michal Novotný, Tereza Tykalová, Amélie Pelletier, et al.. Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease.. Annals of Neurology, 2021, 90 (1), pp.62-75. ⟨10.1002/ana.26085⟩. ⟨hal-03659700⟩