Network analysis of bodywide coordination supporting suprapostural dexterity

支持体位上灵活性的全身协调的网络分析

• 批准号: 10891775
• 负责人: Madhur Mangalam
• 金额: $ 17.56万
• 依托单位: UNIVERSITY OF NEBRASKA OMAHA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10891775
• 关键词: Affect; Anatomy; Body part; Cognition; Development; Disease; Fall prevention; Fracture; Individual; Intervention; Life; Light; Limb structure; Methods; Modeling; Motor; Movement; Movement Disorders; Muscle Tonus; Pathologic; Pathway Analysis; Physiology; Population; Posture; Quality of life; Rehabilitation therapy; Surface; System; Techniques; Trail Making Test; blind; dexterity; improved; innovation; motor behavior; motor control; novel; posture instability; prevent; success; visual tracking

Prevailing understandings of movement disorders characterize "broken...... movements in a piecewise fashion, for instance, focusing on motor control, muscle tone, posture, or cognition independently of each other. These fractured approaches to movement coordination are blind to the body's functional integrity. Consequently, rehabilitative interventions target the limb or body parts most affected by the disorder seeking to support the whole body by mending the broken part. However, dexterity is global, functional coordination spanning the whole body. In other words, task completion draws on fundamental interactivity allowing the body to coordinate various anatomical parts. This coordination may be more vital to healthy movement than individual anatomical parts. Understanding this interactivity is thus paramount to developing novel rehabilitative interventions to prevent falls and improve the quality of life in pathological populations. Studying bodywide coordination for suprapostural dexterity requires innovation in experimental setup and analytical techniques. This project integrates a customizable life-size Trail Making Test with posturography, whole-body movement tracking, and eye tracking, along with state-of-the-art cascade modeling and network analysis methods to assess functional coordination across the whole body. We will leverage causal network analyses of multiplicative interactions instrumental in previous studies of whole-body exploratory motor behavior but not yet utilized in studying suprapostural dexterity. Aim 1 will investigate how multiplicative interactions among movement-system components support suprapostural dexterity. We hypothesize that maintaining an upright stance would produce a functional network of multiplicative interactions among movement-system components. We also hypothesize that participating in the Trail Making Test would produce a succession of distinct, modular networks of multiplicative interactions among movement-system components. Aims 2 will investigate how multiplicative interactions among movement-system components support suprapostural dexterity in the face of postural instability. We hypothesize that destabilizing contact with the ground surface when maintaining an upright stance will produce modular networks of multiplicative interactions with increased connectivity among these modules compared to stable standing.

目前对运动障碍的理解是“破碎的......分段运动 时尚，例如，专注于运动控制，肌肉张力，姿势或认知，独立于每一个 其他.这些断裂的运动协调方法对身体功能的完整性视而不见。 因此，康复干预的目标是受疾病影响最大的肢体或身体部位 试图通过修补破碎的部分来支撑整个身体。然而，灵活性是全球性的， 协调整个身体。换句话说，任务的完成依赖于基本的交互性 让身体协调不同的解剖部位。这种协调可能对健康更重要。 比单个的解剖部位更容易运动。因此，理解这种交互性对于 开发新型康复干预措施，以预防福尔斯跌倒并改善病理性患者的生活质量 人口。研究体位上灵巧的全身协调需要创新， 实验装置和分析技术。该项目集成了一个可定制的真人大小的步道制作 通过姿势描记、全身运动跟踪和眼动跟踪进行测试，沿着最先进的 级联建模和网络分析方法，以评估整个系统的功能协调 身体我们将利用因果网络分析的乘法相互作用工具，在以前的 全身探索性运动行为的研究，但尚未用于研究体位上的灵活性。 目标1将研究运动系统组件之间的乘法相互作用如何支持 姿势上的灵活性我们假设保持直立的姿势会产生功能性的 运动系统各组成部分之间的倍增相互作用网络。我们还假设， 参与试玩测试将产生一系列不同的模块化网络， 运动系统组件之间的倍增相互作用。目标2将研究如何 运动系统组件之间的乘法相互作用支持在 姿势不稳定的脸。我们假设，与地面的不稳定接触， 保持直立的姿势将产生倍增相互作用的模块化网络， 这些模块之间的连接相比，稳定的立场。