Literature DB >> 26725551

Relationship Between Voice and Motor Disabilities of Parkinson's Disease.

Fatemeh Majdinasab1, Siamak Karkheiran2, Majid Soltani3, Negin Moradi3, Gholamali Shahidi4.   

Abstract

To evaluate voice of Iranian patients with Parkinson's disease (PD) and find any relationship between motor disabilities and acoustic voice parameters as speech motor components. We evaluated 27 Farsi-speaking PD patients and 21 age- and sex-matched healthy persons as control. Motor performance was assessed by the Unified Parkinson's Disease Rating Scale part III and Hoehn and Yahr rating scale in the "on" state. Acoustic voice evaluation, including fundamental frequency (f0), standard deviation of f0, minimum of f0, maximum of f0, shimmer, jitter, and harmonic to noise ratio, was done using the Praat software via /a/ prolongation. No difference was seen between the voice of the patients and the voice of the controls. f0 and its variation had a significant correlation with the duration of the disease, but did not have any relationships with the Unified Parkinson's Disease Rating Scale part III. Only limited relationship was observed between voice and motor disabilities. Tremor is an important main feature of PD that affects motor and phonation systems. Females had an older age at onset, more prolonged disease, and more severe motor disabilities (not statistically significant), but phonation disorders were more frequent in males and showed more relationship with severity of motor disabilities. Voice is affected by PD earlier than many other motor components and is more sensitive to disease progression. Tremor is the most effective part of PD that impacts voice. PD has more effect on voice of male versus female patients. Copyright Â
© 2016 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Parkinson's disease; UPDRS; acoustic; motor disorders; voice

Mesh:

Year:  2015        PMID: 26725551     DOI: 10.1016/j.jvoice.2015.10.022

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  6 in total

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2.  Random Forest Algorithm Based on Speech for Early Identification of Parkinson's Disease.

Authors:  Ping Fan
Journal:  Comput Intell Neurosci       Date:  2022-05-09

3.  Investigating the effect of STN-DBS stimulation and different frequency settings on the acoustic-articulatory features of vowels.

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Journal:  Neurol Sci       Date:  2018-06-25       Impact factor: 3.307

4.  The effect of bilateral subthalamic nucleus deep brain stimulation (STN-DBS) on the acoustic and prosodic features in patients with Parkinson's disease: A study protocol for the first trial on Iranian patients.

Authors:  Fatemeh Majdinasab; Ahmadreza Khatoonabadi; Seyyedeh Maryam Khoddami; Amirhassan Habibi
Journal:  Med J Islam Repub Iran       Date:  2017-12-22

5.  Attention/memory complaint is correlated with motor speech disorder in Parkinson's disease.

Authors:  Ying Liu; Yuchang Gui; Jincui Hu; Shanshan Liang; Sixia Mo; Yuanfang Zhou; Yujian Li; Fengkun Zhou; Jianwen Xu
Journal:  BMC Neurol       Date:  2019-12-01       Impact factor: 2.474

6.  Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.

Authors:  Yingchuan Chen; Guanyu Zhu; Defeng Liu; Yuye Liu; Tianshuo Yuan; Xin Zhang; Yin Jiang; Tingting Du; Jianguo Zhang
Journal:  CNS Neurosci Ther       Date:  2020-03-20       Impact factor: 5.243

  6 in total

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