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帕金森病中的言语障碍:早期诊断以及药物和脑刺激的影响

Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation.

作者信息

Brabenec L, Mekyska J, Galaz Z, Rektorova Irena

机构信息

Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Kamenice 753/5, 625 00, Brno, Czech Republic.

Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 3082/12, 61600, Brno, Czech Republic.

出版信息

J Neural Transm (Vienna). 2017 Mar;124(3):303-334. doi: 10.1007/s00702-017-1676-0. Epub 2017 Jan 18.

DOI:10.1007/s00702-017-1676-0
PMID:28101650
Abstract

Hypokinetic dysarthria (HD) occurs in 90% of Parkinson's disease (PD) patients. It manifests specifically in the areas of articulation, phonation, prosody, speech fluency, and faciokinesis. We aimed to systematically review papers on HD in PD with a special focus on (1) early PD diagnosis and monitoring of the disease progression using acoustic voice and speech analysis, and (2) functional imaging studies exploring neural correlates of HD in PD, and (3) clinical studies using acoustic analysis to evaluate effects of dopaminergic medication and brain stimulation. A systematic literature search of articles written in English before March 2016 was conducted in the Web of Science, PubMed, SpringerLink, and IEEE Xplore databases using and combining specific relevant keywords. Articles were categorized into three groups: (1) articles focused on neural correlates of HD in PD using functional imaging (n = 13); (2) articles dealing with the acoustic analysis of HD in PD (n = 52); and (3) articles concerning specifically dopaminergic and brain stimulation-related effects as assessed by acoustic analysis (n = 31); the groups were then reviewed. We identified 14 combinations of speech tasks and acoustic features that can be recommended for use in describing the main features of HD in PD. While only a few acoustic parameters correlate with limb motor symptoms and can be partially relieved by dopaminergic medication, HD in PD seems to be mainly related to non-dopaminergic deficits and associated particularly with non-motor symptoms. Future studies should combine non-invasive brain stimulation with voice behavior approaches to achieve the best treatment effects by enhancing auditory-motor integration.

摘要

运动减少型构音障碍(HD)见于90%的帕金森病(PD)患者。它具体表现在发音、发声、韵律、言语流畅性和面部运动等方面。我们旨在系统回顾关于PD中HD的文献,特别关注:(1)使用声学语音和言语分析进行PD的早期诊断及疾病进展监测;(2)探索PD中HD神经相关性的功能成像研究;(3)使用声学分析评估多巴胺能药物和脑刺激效果的临床研究。2016年3月之前发表的英文文章在Web of Science、PubMed、SpringerLink和IEEE Xplore数据库中使用并组合特定相关关键词进行了系统检索。文章分为三组:(1)使用功能成像关注PD中HD神经相关性的文章(n = 13);(2)处理PD中HD声学分析的文章(n = 52);(3)通过声学分析评估多巴胺能和脑刺激相关特定效果的文章(n = 31);然后对这些组进行了回顾。我们确定了14种言语任务和声学特征的组合,可推荐用于描述PD中HD的主要特征。虽然只有少数声学参数与肢体运动症状相关且可被多巴胺能药物部分缓解,但PD中的HD似乎主要与非多巴胺能缺陷有关,尤其与非运动症状相关。未来的研究应将无创脑刺激与语音行为方法相结合,通过增强听觉 - 运动整合来实现最佳治疗效果。

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The impact of touching-communication-relief therapy on Parkinson's disease patients: a spiritual care perspective study.触摸-沟通-缓解疗法对帕金森病患者的影响:一项精神关怀视角的研究。

本文引用的文献

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High-accuracy voice-based classification between patients with Parkinson's disease and other neurological diseases may be an easy task with inappropriate experimental design.在帕金森病患者与其他神经疾病患者之间进行基于语音的高精度分类,如果实验设计不当,可能是一项容易的任务。
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Dysarthria in individuals with Parkinson's disease: a protocol for a binational, cross-sectional, case-controlled study in French and European Portuguese (FraLusoPark).帕金森病患者的构音障碍:一项法语和欧洲葡萄牙语双语横断面病例对照研究方案(FraLusoPark)。
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Prediction of Parkinson Disease Using Long-Term, Short-Term Acoustic Features Based on Machine Learning.基于机器学习的长期和短期声学特征预测帕金森病
Brain Sci. 2025 Jul 10;15(7):739. doi: 10.3390/brainsci15070739.
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Hybrid preprocessing and ensemble classification for enhanced detection of Parkinson's disease using multiple speech signal databases.使用多个语音信号数据库的混合预处理与集成分类用于增强帕金森病检测
Digit Health. 2025 Jun 26;11:20552076251352941. doi: 10.1177/20552076251352941. eCollection 2025 Jan-Dec.
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What can speech tell us about pain?关于疼痛,言语能告诉我们什么?
Pain Rep. 2025 Jun 5;10(4):e1293. doi: 10.1097/PR9.0000000000001293. eCollection 2025 Aug.
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Prevalence and Treatment of Dysphonia in Parkinson's Disease: A Cross-Sectional National Database Study.帕金森病中发声障碍的患病率及治疗:一项全国性横断面数据库研究
Laryngoscope Investig Otolaryngol. 2025 May 14;10(3):e70149. doi: 10.1002/lio2.70149. eCollection 2025 Jun.
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Assessing Fundamental Frequency Variation in Speakers With Parkinson's Disease: Effects of Tracking Errors.评估帕金森病患者的基频变化:跟踪误差的影响。
J Speech Lang Hear Res. 2025 Jul 29;68(7S):3568-3582. doi: 10.1044/2024_JSLHR-24-00381. Epub 2025 Feb 19.
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Synchronous Analysis of Speech Production and Lips Movement to Detect Parkinson's Disease Using Deep Learning Methods.使用深度学习方法对语音产生和嘴唇运动进行同步分析以检测帕金森病
Diagnostics (Basel). 2024 Dec 31;15(1):73. doi: 10.3390/diagnostics15010073.
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J Neural Transm (Vienna). 2016 Apr;123(4):379-87. doi: 10.1007/s00702-016-1515-8. Epub 2016 Feb 3.
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Parkinsons Dis. 2015;2015:382320. doi: 10.1155/2015/382320. Epub 2015 Oct 7.
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MDS research criteria for prodromal Parkinson's disease.前驱期帕金森病的MDS研究标准。
Mov Disord. 2015 Oct;30(12):1600-11. doi: 10.1002/mds.26431.