Dos Santos Vanessa Brzoskowski, Zardin Fernanda Venzke, Rothe-Neves Rui, Olchik Maira Rozenfeld
Graduate Program in Medicine, Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Speech Therapy Program, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Clin Park Relat Disord. 2025 Jul 21;13:100372. doi: 10.1016/j.prdoa.2025.100372. eCollection 2025.
This study investigates whether speech changes over time in patients with different motor subtypes of Parkinson's disease (PD).
This longitudinal study included 60 individuals with PD, classified into tremor-dominant (n = 42) and non-tremor-dominant (n = 18) subtypes according to the Movement Disorder Society Unified Parkinson's Disease Rating Scale. Participants were assessed at three points: baseline, 12 months, and 24 months. Speech samples were collected from diadochokinesis (/pataka/) and 60-second monologue tasks. The analyzed acoustic variables included syllable number, duration, phonation time, articulation rate, average syllable duration (ASD), and pause ratio.
There were no statistically significant differences between groups regarding age (p = 0.298), disease duration (p = 0.098), age at symptom onset (p = 0.879), HY (p = 0.895), and UPDRS (p = 0.224) at baseline. The tremor- and non-tremor-dominant subtypes did not show significant differences over time when analyzed separately in articulation time metrics. However, significant differences were observed between the subtypes in all variables of the diadochokinesia task, including the number of syllables (p < 0.001), phonation time (p < 0.001), articulation rate (p = 0.002), and ASD (p = 0.028). Regarding the trend analysis, for the monologue, the following were observed: dominant non-tremor [number of syllables (R = 0.978), phonation time (R = 0.860) and pause ratio (R = 0.766)] and tremor [number of syllables (R = 0.989) and phonation time (R = 0.974)]. For the diadochokinesis: dominant non-tremor [number of syllables (R2 = 0.934) and phonation time (R = 0.977)] and tremor [ASD (R = 0.787)].
Over three years, the speech revealed that individuals with tremor and non-tremor subtypes exhibited stable patterns over time. Distinct speech differences emerged between the two groups, and articulation time metrics proved to be an effective tool for distinguishing between subtypes.This task emerged as a relevant approach from which biomarkers can be derived.
本研究调查帕金森病（PD）不同运动亚型患者的言语是否随时间变化。
这项纵向研究纳入了60例PD患者，根据运动障碍协会统一帕金森病评定量表分为震颤为主型（n = 42）和非震颤为主型（n = 18）亚型。参与者在三个时间点接受评估：基线、12个月和24个月。从连续发声（/pataka/）和60秒独白任务中收集言语样本。分析的声学变量包括音节数、时长、发声时间、发音速率、平均音节时长（ASD）和停顿率。
在基线时，两组在年龄（p = 0.298）、病程（p = 0.098）、症状出现年龄（p = 0.879）、Hoehn - Yahr分级（p = 0.895）和统一帕金森病评定量表（p = 0.224）方面无统计学显著差异。当分别分析发音时间指标时，震颤为主型和非震颤为主型亚型随时间未显示出显著差异。然而，在连续发声任务的所有变量中，包括音节数（p < 0.001）、发声时间（p < 0.001）、发音速率（p = 0.002）和ASD（p = 0.028），亚型之间观察到显著差异。关于趋势分析，对于独白，观察到以下情况：非震颤为主型[音节数（R = 0.978）、发声时间（R = 0.860）和停顿率（R = 0.766）]和震颤为主型[音节数（R = 0.989）和发声时间（R = 0.974）]。对于连续发声：非震颤为主型[音节数（R2 = 0.934）和发声时间（R = 0.977）]和震颤为主型[ASD（R = 0.787）]。
在三年时间里，言语显示震颤为主型和非震颤为主型个体的言语随时间呈现稳定模式。两组之间出现了明显的言语差异，发音时间指标被证明是区分亚型的有效工具。这项任务成为一种可从中推导生物标志物的相关方法。
