Speech prosody impairment predicts cognitive decline in Parkinson's disease

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F16%3A00066584" target="_blank" >RIV/00159816:_____/16:00066584 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14740/16:00088928 RIV/00216305:26220/16:PU119273 RIV/65269705:_____/16:00066584 RIV/00843989:_____/16:E0105548

Result on the web

<a href="http://www.sciencedirect.com/science/article/pii/S1353802016301705" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1353802016301705</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.parkreldis.2016.05.018" target="_blank" >10.1016/j.parkreldis.2016.05.018</a>

Result language

angličtina

Original language name

Speech prosody impairment predicts cognitive decline in Parkinson's disease

Original language 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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Parkinsonism &amp; Related Disorders

ISSN

1353-8020

e-ISSN

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Volume of the periodical

29

Issue of the periodical within the volume

AUG

Country of publishing house

US - UNITED STATES

Number of pages

6

Pages from-to

90-95

UT code for WoS article

000381955700016

EID of the result in the Scopus database

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