Quantitative assessment of motor speech abnormalities in idiopathic rapid eye movement sleep behaviour disorder

Rusz, Ján; Hlavnička, Jan; Tykalová, Tereza; Bušková, Jitka; Ulmanová, Olga; Růžička, Evžen; Šonka, Karel

doi:10.1016/j.sleep.2015.07.030

Cited by 76 publications

(56 citation statements)

References 29 publications

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“…Up to 90% of PD patients develop perceptually distinctive speech and voice abnormalities, collectively termed hypokinetic dysarthria, characterized by decreased quality of voice, hypokinetic articulation, hypophonia, monopitch, monoloudness and deficits in timing 4,5 . However, previous research has mainly focused on the later stages of PD 5 , while identification of different patterns of vocal disorders in the preclinical course of PD neurodegeneration has been severely restricted 6 . Identifying biomarkers related to neurodegeneration is essential as they could provide invaluable information not only related to prognosis and treatment, but also in the setting of clinical trials and disease modifying therapies before the onset of motor manifestations 7,8 .…”

Section: Introductionmentioning

confidence: 99%

Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder

Hlavnička

Čmejla

Tykalová

et al. 2017

Sci Rep

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209

142

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For generations, the evaluation of speech abnormalities in neurodegenerative disorders such as Parkinson’s disease (PD) has been limited to perceptual tests or user-controlled laboratory analysis based upon rather small samples of human vocalizations. Our study introduces a fully automated method that yields significant features related to respiratory deficits, dysphonia, imprecise articulation and dysrhythmia from acoustic microphone data of natural connected speech for predicting early and distinctive patterns of neurodegeneration. We compared speech recordings of 50 subjects with rapid eye movement sleep behaviour disorder (RBD), 30 newly diagnosed, untreated PD patients and 50 healthy controls, and showed that subliminal parkinsonian speech deficits can be reliably captured even in RBD patients, which are at high risk of developing PD or other synucleinopathies. Thus, automated vocal analysis should soon be able to contribute to screening and diagnostic procedures for prodromal parkinsonian neurodegeneration in natural environments.

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Section: Introductionmentioning

confidence: 99%

Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder

Hlavnička

Čmejla

Tykalová

et al. 2017

Sci Rep

Self Cite

209

142

View full text Add to dashboard Cite

show abstract

“…Speech/voice disorders are prodromal markers of PD in patients with the REM sleep behavioral disorder. 42 Specifically, Rusz et al 43 found out that 88% of patients with this disorder had some kind of speech impairment. However, the present work is the first one confirming these associations based on vowel articulation disorder.…”

Section: Discussionmentioning

confidence: 99%

Vowel Articulation Dynamic Stability Related to Parkinson’s Disease Rating Features: Male Dataset

Gómez-Vilda

Galáž

Mekyska

et al. 2019

Int. J. Neur. Syst.

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Neurodegenerative pathologies as Parkinson’s Disease (PD) show important distortions in speech, affecting fluency, prosody, articulation and phonation. Classically, measurements based on articulation gestures altering formant positions, as the Vocal Space Area (VSA) or the Formant Centralization Ratio (FCR) have been proposed to measure speech distortion, but these markers are based mainly on static positions of sustained vowels. The present study introduces a measurement based on the mutual information distance among probability density functions of kinematic correlates derived from formant dynamics. An absolute kinematic velocity associated to the position of the jaw and tongue articulation gestures is estimated and modeled statistically. The distribution of this feature may differentiate PD patients from normative speakers during sustained vowel emission. The study is based on a limited database of 53 male PD patients, contrasted to a very selected and stable set of eight normative speakers. In this sense, distances based on Kullback–Leibler divergence seem to be sensitive to PD articulation instability. Correlation studies show statistically relevant relationship between information contents based on articulation instability to certain motor and nonmotor clinical scores, such as freezing of gait, or sleep disorders. Remarkably, one of the statistically relevant correlations point out to the time interval passed since the first diagnostic. These results stress the need of defining scoring scales specifically designed for speech disability estimation and monitoring methodologies in degenerative diseases of neuromotor origin.

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“…Moreover, for symptom monitoring, voicebased measures have been used to accurately replicate both the motor and total Unified Parkinson's Disease Rating Scale (UPDRS) assessment (within 2 points from the clinicians' estimate) [18]. Recently, abnormalities in speech production have also been reported in participants with idiopathic rapid eye movement (REM) sleep behaviour disorder [19,20].…”

Section: Introductionmentioning

confidence: 99%

Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson’s Disease

Arora

Visanji

Mestre

et al. 2018

JPD

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We investigate the potential association between leucine-rich repeat kinase 2 (LRRK2) mutations and voice. Sustained phonations ('aaah' sounds) were recorded from 7 individuals with LRRK2-associated Parkinson's disease (PD), 17 participants with idiopathic PD (iPD), 20 non-manifesting LRRK2-mutation carriers, 25 related non-carriers, and 26 controls. In distinguishing LRRK2-associated PD and iPD, the mean sensitivity was 95.4% (SD 17.8%) and mean specificity was 89.6% (SD 26.5%). Voice features for non-manifesting carriers, related non-carriers, and controls were much less discriminatory. Vocal deficits in LRRK2-associated PD may be different than those in iPD. These preliminary results warrant longitudinal analyses and replication in larger cohorts.

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Quantitative assessment of motor speech abnormalities in idiopathic rapid eye movement sleep behaviour disorder

Cited by 76 publications

References 29 publications

Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder

Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder

Vowel Articulation Dynamic Stability Related to Parkinson’s Disease Rating Features: Male Dataset

Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson’s Disease

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