Novel Approaches for Modeling, Mapping, and Restoring Human Trunk Neuromechanics

人体躯干神经力学建模、绘图和恢复的新方法

• 批准号: RGPIN-2021-04041
• 负责人: Vette, Albert
• 金额: $ 3.35万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=742830
• 关键词: Novel; Approaches; Modeling; Mapping; Restoring

Being able to dynamically stabilize the human trunk is key for maintaining postural balance and effectively completing upper limb tasks. While our ability to perform such tasks with the trunk's assistance is often compromised following neuromuscular impairment, theoretical tools for characterizing the neuromechanical function of the trunk, and derived quantitative insights, are still inferior to those in lower body research. Such insights, however, are crucial for driving technological innovations that can restore trunk function following impairment. Building on my past work, this program's long-term goal is to create effective technologies that enable individuals with neuromuscular impairments to stabilize their trunk in daily living. My short- to mid-term objectives are to: (1) develop sex-specific, neuromechanical models of the upper body; (2) use the models to obtain a quantitative neuromechanical map of the trunk in dynamic posture and upper limb function; and (3) systematically identify parameters for electrical spine stimulation that optimize the trunk's dynamic stability during seated posture. In Subprogram 1, my team will use the female and male datasets of the Visible Human Project to obtain musculoskeletal parameters for kinematic, dynamic, and muscle modeling. Using the parameters, we will develop detailed, sex-specific neuromechanical models of the upper body that fully consider the movement of the upper limbs and can be tuned to specific individuals. The models will allow my team to establish, in Subprogram 2, a quantitative map of trunk neuromechanics that accounts for age, sex, and sensorimotor constraints. Experimental data obtained for a set of postural recovery and previously validated upper limb tasks will be used to quantify, correlate, and visualize trunk kinematics and moments as well as muscle forces via our neuromechanical models. In Subprogram 3, we will first apply non-invasive spine stimulation to healthy young individuals in prone and upright positions, to systematically identify stimulation parameters that maximize the stimulation's effect on neuromechanical trunk measures. Second, the optimized stimulation parameters will be used in healthy young individuals to quantify the stimulation's influence on seated trunk stability and postural recovery during unexpected base-of-support perturbations. Despite the trunk's importance in daily activities, a complete neuromechanical characterization of the trunk and effective tools for quantifying and restoring its function are lacking. This program will advance our knowledge by uncovering the sex-specific intricacies of trunk neuromechanics in postural and upper limb function using mechanistic tools; and by identifying effective spine stimulation parameters for restoring trunk function in dynamic posture. These contributions will drive future innovations that translate into effective rehabilitation strategies and bionic neuroprostheses for the upper body.

能够动态稳定人体躯干是保持姿势平衡和有效完成上肢任务的关键。虽然我们的能力，以执行这些任务的躯干的援助往往是妥协以下神经肌肉损伤，理论工具，表征的神经机械功能的躯干，并得出定量的见解，仍然不如那些在下半身的研究。然而，这些见解对于推动技术创新至关重要，这些技术创新可以在受损后恢复躯干功能。在我过去工作的基础上，这个项目的长期目标是创造有效的技术，使神经肌肉损伤的人能够在日常生活中稳定他们的躯干。我的短期到中期目标是：（1）开发上半身的性别特异性神经力学模型;（2）使用模型获得动态姿势和上肢功能的躯干的定量神经力学图;（3）系统地识别脊柱电刺激参数，优化坐姿时躯干的动态稳定性。在子程序1中，我的团队将使用可视人体项目的女性和男性数据集来获得运动学，动力学和肌肉建模的肌肉骨骼参数。使用这些参数，我们将开发详细的，性别特异性的上肢神经力学模型，充分考虑上肢的运动，并可以调整到特定的个人。这些模型将使我的团队能够在子程序2中建立一个躯干神经力学的定量地图，该地图解释了年龄，性别和感觉运动约束。获得的一组姿势恢复和先前验证的上肢任务的实验数据将用于量化，关联和可视化躯干运动学和时刻以及肌肉力量通过我们的神经力学模型。在子程序3中，我们将首先将非侵入性脊柱刺激应用于俯卧位和直立位的健康年轻个体，以系统地识别刺激参数，最大限度地提高刺激对神经机械躯干测量的影响。其次，优化的刺激参数将用于健康的年轻个体，以量化刺激对在意外的支撑基础扰动期间坐着的躯干稳定性和姿势恢复的影响。尽管躯干的重要性，在日常活动中，一个完整的神经力学特征的躯干和有效的工具，量化和恢复其功能是缺乏的。该计划将通过使用机械工具揭示躯干神经力学在姿势和上肢功能中的性别特异性复杂性来推进我们的知识;并通过确定有效的脊柱刺激参数来恢复动态姿势中的躯干功能。这些贡献将推动未来的创新，转化为有效的康复策略和上身仿生神经假体。