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本文引用的文献

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Analysis of Voice Changes in Early-Stage Parkinson's Disease with AVQI and ABI: A Follow-up Study.使用AVQI和ABI对早期帕金森病语音变化的分析:一项随访研究
J Voice. 2024 Jun 18. doi: 10.1016/j.jvoice.2024.05.009.
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Short-term effect of dopaminergic medication on speech in early-stage Parkinson's disease.多巴胺能药物对早期帕金森病患者言语功能的短期影响。
NPJ Parkinsons Dis. 2022 Mar 7;8(1):22. doi: 10.1038/s41531-022-00286-y.
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Voice in Parkinson's Disease: A Machine Learning Study.帕金森病中的语音:一项机器学习研究。
Front Neurol. 2022 Feb 15;13:831428. doi: 10.3389/fneur.2022.831428. eCollection 2022.
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Dopaminergic Treatment Effects on Dysarthric Speech: Acoustic Analysis in a Cohort of Patients With Advanced Parkinson's Disease.多巴胺能治疗对构音障碍性言语的影响:一组晚期帕金森病患者的声学分析
Front Neurol. 2021 Feb 5;11:616062. doi: 10.3389/fneur.2020.616062. eCollection 2020.
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The physical significance of acoustic parameters and its clinical significance of dysarthria in Parkinson's disease.帕金森病构音障碍的声学参数的物理意义及其临床意义。
Sci Rep. 2020 Jul 16;10(1):11776. doi: 10.1038/s41598-020-68754-0.
6
Acoustic analysis of voice in Parkinson's disease: a systematic review of voice disability and meta-analysis of studies.帕金森病患者的嗓音声学分析:嗓音障碍的系统评价和研究的荟萃分析。
Rev Neurol. 2020 Jun 1;70(11):393-405. doi: 10.33588/rn.7011.2019414.
7
Investigation of Vocal Fatigue Using a Dose-Based Vocal Loading Task.使用基于剂量的嗓音负荷任务对嗓音疲劳进行的研究。
Appl Sci (Basel). 2020 Feb;10(3). doi: 10.3390/app10031192. Epub 2020 Feb 10.
8
Voice changes in Parkinson's disease: What are they telling us?帕金森病中的语音变化:它们在告诉我们什么?
J Clin Neurosci. 2020 Feb;72:1-7. doi: 10.1016/j.jocn.2019.12.029. Epub 2020 Jan 14.
9
The Pathophysiology of Fatigue in Parkinson's Disease and its Pragmatic Management.帕金森病疲劳的病理生理学及其实用管理
Mov Disord Clin Pract. 2016 Mar 11;3(4):323-330. doi: 10.1002/mdc3.12343. eCollection 2016 Jul-Aug.
10
Communication changes in Parkinson's disease.帕金森病中的沟通变化。
Pract Neurol. 2017 Aug;17(4):266-274. doi: 10.1136/practneurol-2017-001635. Epub 2017 Jul 7.

帕金森病患者与非帕金森病患者声音变量的个体内差异。

Intra-individual Variations in Voice Variables Among Individuals With and Without Parkinson's Disease.

作者信息

Abola Paula, Wolden Mitchell

机构信息

Clinical Research, University of Jamestown, Fargo, USA.

Physical Therapy Program, University of Jamestown, Fargo, USA.

出版信息

Cureus. 2025 Mar 29;17(3):e81398. doi: 10.7759/cureus.81398. eCollection 2025 Mar.

DOI:10.7759/cureus.81398
PMID:40296957
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12035574/
Abstract

Introduction Voice changes affect 70 to 90% of individuals with Parkinson's disease (PD). Voice and speech changes in individuals with PD include increased shimmer, increased jitter, reduced harmonics-to-noise ratio (HNR), and changes in fundamental frequency. Studies have identified inter-individual variations in voice variables as PD progresses. However, intra-individual variations in voice variables have not been studied extensively. When individuals without PD experience stress or nervousness, their jitter and shimmer may also increase. Therefore, the purpose of our study was to compare the mean intra-individual variations in voice variables for individuals with PD and those without PD to determine whether the mean intra-individual variations differ between the two groups. Methodology We utilized the "Oxford Parkinson's Disease Detection Dataset," which consists of various biomedical voice measurements, and each individual's voice was measured six or seven times. The changes between each voice measurement for each individual were calculated. Independent samples t-tests were performed to determine significant differences in intra-individual variations in voice variables between individuals with PD and those without PD for all voice variables. Results The independent samples t-tests revealed no statistically significant differences in intra-individual variations between individuals with (n = 24) and without PD (n = 8) for any of the voice variables. For vocal fundamental frequency variables, the mean differences ranged from -1.98e5 (Flo) to 2.58e5 (Fhi). For jitter variables, the mean differences ranged from 1.05e-6 (Jitter(Abs)) to 5.32e-4 (DDP). For shimmer variables, the mean differences ranged from 2.11e-4 (APQ5) to 7.07e2 (Shimmer(dB)). For other variables, the mean differences ranged from -2.76e6 (HNR) to 6.02e4 (spread1). Conclusion Our findings indicate that intra-individual variations in voice variables do not significantly differ between individuals with and without PD. This suggests that intra-individual voice variability may not serve as a distinguishing factor for PD diagnosis. Future research should explore alternative methods to assess intra-individual voice variability and its potential role in PD diagnostics.

摘要

引言 嗓音变化影响70%至90%的帕金森病(PD)患者。PD患者的嗓音和言语变化包括颤动增加、抖动增加、谐波噪声比(HNR)降低以及基频变化。研究已确定随着PD病情进展,嗓音变量存在个体间差异。然而,嗓音变量的个体内差异尚未得到广泛研究。无PD的个体在经历压力或紧张时,其抖动和颤动也可能增加。因此,我们研究的目的是比较PD患者和非PD患者嗓音变量的平均个体内差异,以确定两组之间的平均个体内差异是否不同。

方法 我们使用了“牛津帕金森病检测数据集”,该数据集包含各种生物医学嗓音测量数据,且对每个个体的嗓音进行了六或七次测量。计算了每个个体每次嗓音测量之间的变化。对所有嗓音变量进行独立样本t检验,以确定PD患者和非PD患者嗓音变量个体内差异的显著差异。

结果 独立样本t检验显示,对于任何嗓音变量,PD患者(n = 24)和非PD患者(n = 8)之间的个体内差异均无统计学显著差异。对于嗓音基频变量,平均差异范围从-1.98e5(Flo)到2.58e5(Fhi)。对于抖动变量,平均差异范围从1.05e-6(Jitter(Abs))到5.32e-4(DDP)。对于颤动变量,平均差异范围从2.11e-4(APQ5)到7.07e2(Shimmer(dB))。对于其他变量,平均差异范围从-2.76e6(HNR)到6.02e4(spread1)。

结论 我们的研究结果表明,PD患者和非PD患者之间嗓音变量的个体内差异无显著差异。这表明个体内嗓音变异性可能不作为PD诊断的区分因素。未来的研究应探索评估个体内嗓音变异性的替代方法及其在PD诊断中的潜在作用。