KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, Canada.
The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Curr Protoc. 2022 Feb;2(2):e369. doi: 10.1002/cpz1.369.
Kinematics is the gold-standard method for measuring detailed joint motions. Recent research demonstrates that post-stroke kinematic analysis in rats reveals reaching abnormalities similar to those seen in humans after stroke. Nonetheless, behavioral neuroscientists have failed to incorporate kinematic methods for assessing movement quality in stroke models. The availability of a user-friendly method to assess multi-segment forelimb kinematics models should greatly increase uptake of this approach. Here, we present a framework for multi-segment forelimb analysis in rodents after stroke. This method greatly enhances the understanding of post-stroke forelimb motor recovery by including several movement quality metrics often used in human clinical work, such as upper-limb linear and angular kinematics, movement smoothness and kinetics, abnormal synergies, and compensations. These metrics may constitute a preclinical surrogate for the Fugl-Meyer assessment of hemiplegic patients. The data obtained using this method are 83 outputs of linear and angular kinematics and kinetics. The outputs also include 24 time series of continuous data, which afford a graphical representation of the kinematics and kinetics of the reaching cycle. We show that post-stroke rodents displayed many features resembling those seen in humans after stroke that are evident only when multi-segment kinematics models are considered. This method expands the knowledge derived from methods constrained to paw movements to a multi-segment forelimb movement quality framework. Moreover, it highlights the need for preclinical work to consider more sensitive measures of sensorimotor impairment and recovery as a means to enhance the interpretation of true recovery and compensation. © 2022 Wiley Periodicals LLC. Basic Protocol: Recording and data analysis of rodents performing the Montoya staircase task.
运动学是测量关节运动细节的金标准方法。最近的研究表明,对脑卒中后大鼠的运动学分析揭示了与人类脑卒中后类似的异常。尽管如此,行为神经科学家未能将运动学方法纳入脑卒中模型来评估运动质量。如果有一种易于使用的方法来评估多节段前肢运动学模型,那么这种方法应该会得到更广泛的应用。在此,我们提出了一种脑卒中后啮齿动物多节段前肢分析的框架。该方法通过包括几种在人类临床工作中常用的运动质量指标,如上肢线性和角度运动学、运动平滑度和动力学、异常协同作用和代偿作用,极大地提高了对脑卒中后前肢运动恢复的理解。这些指标可能构成偏瘫患者 Fugl-Meyer 评估的临床前替代物。该方法获得的是 83 个线性和角度运动学和动力学的输出。输出还包括 24 个连续数据的时间序列,这些数据提供了一个图形化的表示,展示了运动学和动力学的到达周期。我们发现,脑卒中后的啮齿动物表现出许多与人类脑卒中后相似的特征,这些特征只有在考虑多节段运动学模型时才会显现出来。这种方法将基于爪运动的方法所获得的知识扩展到了多节段前肢运动质量框架中。此外,它还强调了临床前工作需要考虑更敏感的感觉运动损伤和恢复测量方法,以增强对真正恢复和代偿的解释。 © 2022 Wiley Periodicals LLC. 基本方案:记录和分析执行蒙托亚楼梯任务的大鼠。