Parkinson's disease patients with freezing of gait have more severe voice impairment than non‑freezers during “ON state”
Parkinson's disease patients with freezing of gait have more severe voice impairment than non‑freezers during “ON state”
复制标题
步态冻结的帕金森病患者在“ON 状态”期间比非冻结步态患者有更严重的声音障碍
DOI：
10.1007/s00702-021-02458-1
复制
发表时间：
2022
影响因子：
3.3
通讯作者：
Oumei Cheng
中科院分区：
文献类型：
--
作者：
Qian Yu;Xiaoya Zou;Fengying Quan;Zhaoying Dong;Huimei Yin;Jinjing Liu;Hongzhou Zuo;Jiaman Xu;Yu Han;Dezhi Zou;Yongming Li;Oumei Cheng
背景帕金森病（PD）的言语障碍和步态冻结（FOG）可能有一些共同的病理机制。本研究的目的是比较PD患者多巴胺反应性FOG（PD-FOG）和无FOG（PD-nFOG）在“ON状态”的声学参数，并探讨“ON状态”的语音特征在区分PD-FOG和PD-nFOG.MethodsA共120名受试者，包括40例PD患者多巴胺反应性FOG，40 PD-nFOG，和40名健康对照（HC）。所有受试者均接受神经心理学测试。在“ON”状态下，通过持续元音发音任务记录语音样本，然后用Praat软件进行分析。从每个样本中提取一组27个语音特征进行比较。结果与PD-nFOG相比，PD-FOG的抖动、基频标准差（F0 SD）、脉冲周期标准差（脉冲周期SD）和噪声同声比（NHR）增加，最大发声时间（MPT）减少。上述语音特征与步态冻结问卷（FOGQ）相关。基于27个语音特征的支持向量机模型对PD-FOG和PD-nFOG分类的平均准确率、特异性和敏感性分别为73.57%、75.71%和71. 43%.ConclusionsPD-FOG在“ON状态”时的语音障碍比PD-nFOG严重。
BackgroundSpeech disorders and freezing of gait (FOG) in Parkinson's disease (PD) may have some common pathological mechanisms. The purpose of this study was to compare the acoustic parameters of PD patients with dopamine-responsive FOG (PD-FOG) and without FOG (PD-nFOG) during "ON state" and explore the ability of "ON state" voice features in distinguishing PD-FOG from PD-nFOG.MethodsA total of 120 subjects, including 40 PD patients with dopamine-responsive FOG, 40 PD-nFOG, and 40 healthy controls (HCs) were recruited. All subjects underwent neuropsychological tests. Speech samples were recorded through the sustained vowel pronunciation tasks during the "ON state" and then analyzed by the Praat software. A set of 27 voice features was extracted from each sample for comparison. Support vector machine (SVM) was used to build mathematical models to classify PD-FOG and PD-nFOG.ResultsCompared with PD-nFOG, the jitter, the standard deviation of fundamental frequency (F0SD), the standard deviation of pulse period (pulse period SD) and the noise-homophonic-ratio (NHR) were increased, and the maximum phonation time (MPT) was decreased in PD-FOG. The above voice features were correlated with the freezing of gait questionnaire (FOGQ). The average accuracy, specificity, and sensitivity of SVM models based on 27 voice features for classifying PD-FOG and PD-nFOG were 73.57%, 75.71%, and 71.43%, respectively.ConclusionsPD-FOG have more severe voice impairment than PD-nFOG during "ON state".