School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China.
Department of Neurology, Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
BMC Neurol. 2023 Oct 6;23(1):362. doi: 10.1186/s12883-023-03386-1.
Parkinson's disease (PD) is often clinically associated with posture instability and more easily falling. The Berg balance scale is a clinical indicator commonly used to subjectively evaluate a patient's balance ability. Meanwhile, computerized force platforms have been used in research on postural control. The various parameters obtained from posturography are interpreted to assess balance ability. The present study aims to explore the correlations between posturographic variables and the BBS, and furthermore to efficiently evaluate postural instability and fall risk of early and moderate PD patients.
A total of 46 PD patients were involved in the experiment. Patients were asked to perform BBS tests and force platform tests under eye open (EO) and eye closed (EC) conditions. The recorded COP signal was analyzed with the time domain statistical method, the frequency domain method of Power Spectral Density (PSD), and structural methods of Stabilogram Diffusion Analysis (SDA), Sway Density Plot (SDP) to retrieve different posturographic variables. The correlation between posturographic variables under EO and EC conditions with BBS was compared statistically. The significantly correlated posturographic parameters were then applied to analyze posturographic differences between different groups: faller vs. non-faller (patients with/without a history of falls in the past 12 months).
Among the different posturographic parameters, the prediction ellipse area, the slope of the regression line at a high-frequency band of PSD in the medial-lateral (ML) direction, the crossover point of the regression lines of SDA in the anterior-posterior (AP) direction, and the distance between successive peaks of SDP had significant correlations with BBS. These selected BBS-related parameters also showed significant differences between faller and non-faller. The selected posturographic parameters can be used as effective indicators to evaluate the balance ability of Parkinson's disease patients.
帕金森病（PD）常伴有姿势不稳，更容易跌倒。伯格平衡量表是一种常用的临床指标，用于主观评估患者的平衡能力。同时，计算机力平台已用于姿势控制研究。从足印图中获得的各种参数用于解释以评估平衡能力。本研究旨在探讨足印图变量与 BBS 的相关性，并进一步有效评估早期和中度 PD 患者的姿势不稳定和跌倒风险。
共有 46 名 PD 患者参与了实验。要求患者在睁眼（EO）和闭眼（EC）条件下进行 BBS 测试和力平台测试。使用时域统计方法、频域功率谱密度（PSD）方法和结构方法的稳定性扩散分析（SDA）、摇摆密度图（SDP）对记录的 COP 信号进行分析，以检索不同的足印图变量。统计比较 EO 和 EC 条件下的足印图变量与 BBS 的相关性。然后，应用具有显著相关性的足印图参数分析不同组之间的足印图差异：跌倒者与非跌倒者（过去 12 个月内有无跌倒史的患者）。
在不同的足印图参数中，预测椭圆面积、PSD 在 ML 方向的高频带回归线的斜率、SDA 在 AP 方向的回归线交叉点以及 SDP 连续峰之间的距离与 BBS 有显著相关性。这些与 BBS 相关的选定参数在跌倒者和非跌倒者之间也存在显著差异。选定的足印图参数可用作有效指标来评估帕金森病患者的平衡能力。
