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Short-term effect of dopaminergic medication on speech in early-stage Parkinson’s disease

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TLDR
The effect of dopaminergic medication on speech has rarely been examined in early stage Parkinson's disease (PD) and the respective literature is inconclusive and limited by inappropriate design with lack of PD control group as mentioned in this paper .
Abstract
The effect of dopaminergic medication on speech has rarely been examined in early-stage Parkinson's disease (PD) and the respective literature is inconclusive and limited by inappropriate design with lack of PD control group. The study aims to examine the short-term effect of dopaminergic medication on speech in PD using patients with good motor responsiveness to levodopa challenge compared to a control group of PD patients with poor motor responsiveness. A total of 60 early-stage PD patients were investigated before (OFF) and after (ON) acute levodopa challenge and compared to 30 age-matched healthy controls. PD patients were categorised into two clinical subgroups (PD responders vs. PD nonresponders) according to the comparison of their motor performance based on movement disorder society-unified Parkinson's disease rating scale, part III. Seven distinctive parameters of hypokinetic dysarthria were examined using quantitative acoustic analysis. We observed increased monopitch (p > 0.01), aggravated monoloudness (p > 0.05) and longer duration of stop consonants (p > 0.05) in PD compared to healthy controls, confirming the presence of hypokinetic dysarthria in early PD. No speech alterations from OFF to ON state were revealed in any of the two PD groups and speech dimensions investigated including monopitch, monoloudness, imprecise consonants, harsh voice, slow sequential motion rates, articulation rate, or inappropriate silences, although a subgroup of PD responders manifested obvious improvement in motor function after levodopa intake (p > 0.001). Since the short-term usage of levodopa does not easily affect voice and speech performance in PD, speech assessment may provide a medication state-independent motor biomarker of PD.

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Journal ArticleDOI

A Hybrid U-Lossian Deep Learning Network for Screening and Evaluating Parkinson’s Disease

TL;DR: In this paper , a U-lossian model was used to detect anomalies in the PD-affected voice and developed an automated screening method that can discriminate between the voices of PD patients and healthy volunteers while also providing a voice quality score.
Journal ArticleDOI

Computerized analysis of speech and voice for Parkinson's disease: A systematic review

TL;DR: A systematic review of the literature related to speech and voice in detecting Parkinson's disease and assessing its severity is presented in this paper . But, large differences between the datasets make it difficult to compare different studies, and speech analytic methods that are not informed by physiological understanding may alienate clinicians.
Journal ArticleDOI

Quantifying articulatory impairments in neurodegenerative motor diseases: A scoping review and meta-analysis of interpretable acoustic features.

TL;DR: Highlighting the areas of need within each articulatory component and disease group provides a foundation on which clinical researchers, speech scientists, neurologists, and computer science engineers can develop research questions that will both broaden and deepen the understanding of articulatory impairments in NMDs.
Journal ArticleDOI

The efficacy of acoustic-based articulatory phenotyping for characterizing and classifying four divergent neurodegenerative diseases using sequential motion rates

TL;DR: In this paper , the authors investigated the validity and classification accuracy of comprehensive acoustic-based articulatory phenotypes in speakers with distinct neurodegenerative diseases, including ALS, progressive ataxia, Parkinson's disease, and nonfluent variant of primary progressive aphasia and progressive apraxia of speech.
References
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Journal ArticleDOI

The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment

TL;DR: A 10‐minute cognitive screening tool (Montreal Cognitive Assessment, MoCA) to assist first‐line physicians in detection of mild cognitive impairment (MCI), a clinical state that often progresses to dementia.
Journal ArticleDOI

Differential Diagnostic Patterns of Dysarthria

TL;DR: Thirty-second speech samples were studied of at least 30 patients in each of 7 discrete neurologic groups, each patient unequivocally diagnosed as being a representative of his diagnostic group, leading to results leading to these conclusions.
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