Omura Yuichiro, Togo Hiroki, Kaminishi Kohei, Hasegawa Tetsuya, Chiba Ryosuke, Yozu Arito, Takakusaki Kaoru, Abe Mitsunari, Takahashi Yuji, Hanakawa Takashi, Ota Jun
Department of Precision Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan.
Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine and Faculty of Medicine, Kyoto, Japan.
Front Comput Neurosci. 2023 Oct 5;17:1218707. doi: 10.3389/fncom.2023.1218707. eCollection 2023.
Patients with Parkinson's disease (PD) exhibit distinct abnormal postures, including neck-down, stooped postures, and Pisa syndrome, collectively termed "abnormal posture" henceforth. In the previous study, when assuming an upright stance, patients with PD exhibit heightened instability in contrast to healthy individuals with disturbance, implying that abnormal postures serve as compensatory mechanisms to mitigate sway during static standing. However, limited studies have explored the relationship between abnormal posture and sway in the context of static standing. Increased muscle tone (i.e., constant muscle activity against the gravity) has been proposed as an underlying reason for abnormal postures. Therefore, this study aimed to investigate the following hypothesis: abnormal posture with increased muscle tone leads to a smaller sway compared with that in other postures, including normal upright standing, under the sway minimization criterion. To investigate the hypothesis, we assessed the sway in multiple postures, which is determined by joint angles, including cases with bended hip joints. Our approach involved conducting forward dynamics simulations using a computational model comprising a musculoskeletal model and a neural controller model. The neural controller model proposed integrates two types of control mechanisms: feedforward control (representing muscle tone as a vector) and feedback control using proprioceptive and vestibular sensory information. An optimization was performed to determine the posture of the musculoskeletal model and the accompanied parameters of the neural controller model for each of the given muscle tone vector to minimize sway. The optimized postures to minimize sway for the optimal muscle tone vector of patients with PD were compared to the actual postures observed in these patients. The results revealed that on average, the joint-angle differences between these postures was <4°, which was less than one-tenth of the typical joint range of motion. These results suggest that patients with PD exhibit less sway in the abnormal posture than in other postures. Thus, adopting an abnormal posture with increased muscle tone can potentially serve as a valid strategy for minimizing sway in patients with PD.
帕金森病(PD)患者表现出独特的异常姿势,包括头向下、弯腰姿势和比萨综合征,此后统称为“异常姿势”。在先前的研究中,与有平衡障碍的健康个体相比,PD患者在直立站立时表现出更高的不稳定性,这意味着异常姿势是在静态站立时减轻摇摆的补偿机制。然而,在静态站立的背景下,探索异常姿势与摇摆之间关系的研究有限。肌肉张力增加(即对抗重力的持续肌肉活动)被认为是异常姿势的潜在原因。因此,本研究旨在探讨以下假设:在摇摆最小化标准下,与包括正常直立站立在内的其他姿势相比,肌肉张力增加的异常姿势导致更小的摇摆。为了研究该假设,我们评估了多种姿势下的摇摆,这些姿势由关节角度决定,包括髋关节弯曲的情况。我们的方法包括使用一个由肌肉骨骼模型和神经控制器模型组成的计算模型进行前向动力学模拟。所提出的神经控制器模型整合了两种控制机制:前馈控制(将肌肉张力表示为一个向量)和使用本体感觉和前庭感觉信息的反馈控制。针对每个给定的肌肉张力向量,进行优化以确定肌肉骨骼模型的姿势以及神经控制器模型的伴随参数,以最小化摇摆。将PD患者最佳肌肉张力向量下使摇摆最小化的优化姿势与这些患者实际观察到的姿势进行比较。结果显示,平均而言,这些姿势之间的关节角度差异小于4°,不到典型关节活动范围的十分之一。这些结果表明,与其他姿势相比,PD患者在异常姿势下的摇摆更小。因此,采用肌肉张力增加的异常姿势可能是使PD患者摇摆最小化的有效策略。