Karolinska Institute, Stockholm, Sweden.
Neurorehabil Neural Repair. 2011 Sep;25(7):617-25. doi: 10.1177/1545968311403494. Epub 2011 Apr 13.
There is no easy and reliable method to measure spasticity, although it is a common and important symptom after a brain injury.
The aim of this study was to develop and validate a new method to measure spasticity that can be easily used in clinical practice.
A biomechanical model was created to estimate the components of the force resisting passive hand extension, namely (a) inertia (IC), (b) elasticity (EC), (c) viscosity (VC), and (d) neural components (NC). The model was validated in chronic stroke patients with varying degree of hand spasticity. Electromyography (EMG) was recorded to measure the muscle activity induced by the passive stretch.
The model was validated in 3 ways: (a) NC was reduced after an ischemic nerve block, (b) NC correlated with the integrated EMG across subjects and in the same subject during the ischemic nerve block, and (c) NC was velocity dependent. In addition, the total resisting force and NC correlated with the modified Ashworth score. According to the model, the neural and nonneural components varied between patients. In most of the patients, but not in all, the NC dominated.
The results suggest that the model allows valid measurement of spasticity in the upper extremity of chronic stroke patients and that it can be used to separate the neural component induced by the stretch reflex from resistance caused by altered muscle properties.
目前尚无简便且可靠的痉挛测量方法,但痉挛是脑损伤后常见且重要的症状。
本研究旨在开发和验证一种新的痉挛测量方法,使其能够在临床实践中简便使用。
建立了一个生物力学模型,以估计抵抗被动伸手的外力的组成部分,即(a)惯性(IC),(b)弹性(EC),(c)粘性(VC)和(d)神经成分(NC)。该模型在具有不同程度手部痉挛的慢性脑卒中患者中进行了验证。记录肌电图(EMG)以测量被动伸展引起的肌肉活动。
该模型通过 3 种方式得到验证:(a)缺血性神经阻滞可降低 NC;(b)NC 与受试者之间和同一受试者在缺血性神经阻滞期间的整合 EMG 相关;(c)NC 与速度有关。此外,总阻力和 NC 与改良 Ashworth 评分相关。根据该模型,神经和非神经成分在患者之间存在差异。在大多数患者中(但并非所有患者),NC 占主导地位。
研究结果表明,该模型允许对慢性脑卒中患者上肢的痉挛进行有效测量,并且可以将由牵张反射引起的神经成分与肌肉特性改变引起的阻力分开。