Publication details

Speech prosody impairment predicts cognitive decline in Parkinson's disease

Authors

REKTOROVÁ Irena MEKYSKA Jiri KORIŤÁKOVÁ Eva KOŠŤÁLOVÁ Milena ELIÁŠOVÁ Ilona MRAČKOVÁ Martina BERÁNKOVÁ Dagmar NEČASOVÁ Tereza SMEKAL Zdenek MAREČEK Radek

Year of publication 2016
Type Article in Periodical
Magazine / Source PARKINSONISM & RELATED DISORDERS
MU Faculty or unit

Central European Institute of Technology

Citation
Web http://ac.els-cdn.com/S1353802016301705/1-s2.0-S1353802016301705-main.pdf?_tid=788e4f5c-c2a7-11e6-b780-00000aacb362&acdnat=1481793702_a0f60c8ee72ca0836953a9099a5fb278
Doi http://dx.doi.org/10.1016/j.parkreldis.2016.05.018
Field Neurology, neurosurgery, neurosciences
Keywords Parkinson's disease; Speech prosody; Acoustic analysis; Cognitive; Dementia
Attached files
Description Background: Impairment of speech prosody is characteristic for Parkinson's disease (PD) and does not respond well to dopaminergic treatment. Objectives: We assessed whether baseline acoustic parameters, alone or in combination with other predominantly non-dopaminergic symptoms may predict global cognitive decline as measured by the Addenbrooke's cognitive examination (ACE-R) and/or worsening of cognitive status as assessed by a detailed neuropsychological examination. Methods: Forty-four consecutive non-depressed PD patients underwent clinical and cognitive testing, and acoustic voice analysis at baseline and at the two-year follow-up. Influence of speech and other clinical parameters on worsening of the ACE-R and of the cognitive status was analyzed using linear and logistic regression. Results: The cognitive status (classified as normal cognition, mild cognitive impairment and dementia) deteriorated in 25% of patients during the follow-up. The multivariate linear regression model consisted of the variation in range of the fundamental voice frequency (F0VR) and the REM Sleep Behavioral Disorder Screening Questionnaire (RBDSQ). These parameters explained 37.2% of the variability of the change in ACE-R. The most significant predictors in the univariate logistic regression were the speech index of rhythmicity (SPIR; p = 0.012), disease duration (p = 0.019), and the RBDSQ (p = 0.032). The multivariate regression analysis revealed that SPIR alone led to 73.2% accuracy in predicting a change in cognitive status. Combining SPIR with RBDSQ improved the prediction accuracy of SPIR alone by 73%. Conclusions: Impairment of speech prosody together with symptoms of RBD predicted rapid cognitive decline and worsening of PD cognitive status during a two-year period. (C) 2016 Elsevier Ltd. All rights reserved.
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