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. 2016 Mar:19:141-7.
doi: 10.1016/j.sleep.2015.07.030. Epub 2015 Sep 14.

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

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

Jan Rusz et al. Sleep Med. 2016 Mar.

Abstract

Objective: Patients with idiopathic rapid eye movement sleep behaviour disorder (RBD) are at substantial risk for developing Parkinson's disease (PD) or related neurodegenerative disorders. Speech is an important indicator of motor function and movement coordination, and therefore may be an extremely sensitive early marker of changes due to prodromal neurodegeneration.

Methods: Speech data were acquired from 16 RBD subjects and 16 age- and sex-matched healthy control subjects. Objective acoustic assessment of 15 speech dimensions representing various phonatory, articulatory, and prosodic deviations was performed. Statistical models were applied to characterise speech disorders in RBD and to estimate sensitivity and specificity in differentiating between RBD and control subjects.

Results: Some form of speech impairment was revealed in 88% of RBD subjects. Articulatory deficits were the most prominent findings in RBD. In comparison to controls, the RBD group showed significant alterations in irregular alternating motion rates (p = 0.009) and articulatory decay (p = 0.01). The combination of four distinctive speech dimensions, including aperiodicity, irregular alternating motion rates, articulatory decay, and dysfluency, led to 96% sensitivity and 79% specificity in discriminating between RBD and control subjects. Speech impairment was significantly more pronounced in RBD subjects with the motor score of the Unified Parkinson's Disease Rating Scale greater than 4 points when compared to other RBD individuals.

Conclusion: Simple quantitative speech motor measures may be suitable for the reliable detection of prodromal neurodegeneration in subjects with RBD, and therefore may provide important outcomes for future therapy trials.

Keywords: Acoustic analyses; Dysarthria; Parkinson's disease; Parkinsonism; Speech and voice disorders.

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