Valálik István, Smehák György, Bognár László, Csókay András
Department of Neurosurgery, St. John's Hospital Budapest, 1-3 Diós árok, H-1125 Budapest, Hungary.
Clin Neurol Neurosurg. 2011 Apr;113(3):188-95. doi: 10.1016/j.clineuro.2010.11.002. Epub 2010 Dec 9.
The purpose of this study was to investigate the effects of bilateral subthalamic nucleus deep brain stimulation on the phonation of patients with Parkinson's disease in three drug-free conditions: (1) stimulation off, (2) with clinically optimised stimulation parameters, and (3) subthreshold overstimulation, in order to detect differences following voice analysis.
Conversational speech and sustained vowel sounds /a/, /i/, /o/, /u/ and high /i/ were recorded from 22 PD patients. Perceptual analysis, perturbation jitter, shimmer, noise-to-harmonics ratio, and nonlinear dynamic analysis (NDA) with detrended fluctuation analysis and recurrence period density entropy were measured and compared to the above conditions. Quadratic discriminant analysis (QDA) was used to investigate stimulation conditions for given acoustic data.
The changes of perturbation measurements for the above conditions were not significant. With differences between vowels, NDA showed more significant changes and more powerful correlation with perceptual scores than perturbation measurements. NDA was significantly more sensitive during the QDA of the conditions.
Acoustic voice analysis of sustained vowels can help with recognizing the overstimulated condition, and, with an appropriate test battery and software package including nonlinear dynamic analysis, it can be a valuable tool for fine adjustments of stimulation parameters.
本研究旨在探讨双侧丘脑底核深部脑刺激在三种无药状态下对帕金森病患者发声的影响:(1)刺激关闭;(2)采用临床优化刺激参数;(3)阈下过度刺激,以便通过语音分析检测差异。
记录了22例帕金森病患者的对话语音以及持续元音/a/、/i/、/o/、/u/和高音/i/。测量并比较了上述条件下的感知分析、微扰抖动、闪烁、噪声谐波比以及采用去趋势波动分析和重现期密度熵的非线性动力学分析(NDA)。使用二次判别分析(QDA)研究给定声学数据的刺激条件。
上述条件下微扰测量的变化不显著。在元音之间存在差异时,与微扰测量相比,NDA显示出更显著的变化以及与感知评分更强的相关性。在各条件的QDA期间,NDA明显更敏感。
持续元音的声学语音分析有助于识别过度刺激状态,并且,借助包括非线性动力学分析在内的适当测试组和软件包,它可以成为精细调整刺激参数的有价值工具。