Speech prosody impairment predicts cognitive decline in Parkinson's disease

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Středoevropský technologický institut. Oficiální stránka publikace je na webu muni.cz.
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REKTOROVÁ Irena MEKYSKA Jiri KORIŤÁKOVÁ Eva KOŠŤÁLOVÁ Milena ELIÁŠOVÁ Ilona MRAČKOVÁ Martina BERÁNKOVÁ Dagmar NEČASOVÁ Tereza SMEKAL Zdenek MAREČEK Radek

Rok publikování 2016
Druh Článek v odborném periodiku
Časopis / Zdroj PARKINSONISM & RELATED DISORDERS
Fakulta / Pracoviště MU

Středoevropský technologický institut

Citace
www 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
Obor Neurologie, neurochirurgie, neurovědy
Klíčová slova Parkinson's disease; Speech prosody; Acoustic analysis; Cognitive; Dementia
Přiložené soubory
Popis 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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