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.

对运动障碍的普遍理解是“破碎的……分段中的动作 例如，时尚专注于运动控制，肌肉音调，姿势或认知独立于每种 其他。这些破裂的运动协调方法对人体的功能完整性视而不见。 因此，康复干预措施针对肢体或身体部位受到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。但是，敏捷是全球功能的 整个身体的协调。换句话说，任务完成取决于基本互动 允许人体协调各种解剖部分。这种协调对于健康可能更重要 运动比单个解剖部分。因此，了解这种互动性对于 开发新颖的康复干预措施，以防止跌倒并改善病理的生活质量 人群。研究全身协调以实现上骨上的敏捷性，需要创新 实验设置和分析技术。该项目集成了可自定义的真人大小的踪迹制作 使用姿势学，全身运动跟踪和眼动追踪进行测试，以及最先进的 级联建模和网络分析方法评估整个功能协调 身体。我们将利用以前的乘法相互作用的因果网络分析 全身探索性运动行为的研究，但尚未用于研究肩上灵敏性。 AIM 1将研究运动系统组件之间的乘法相互作用如何支持 肩上灵敏性。我们假设保持直立立场会产生功能性 运动系统组件之间的乘法相互作用网络。我们还假设 参加步道进行测试将产生一系列独特的模块化网络 运动系统组件之间的乘法相互作用。目标2将调查如何 运动系统组件之间的乘法相互作用支持肩上灵活性 姿势不稳定的面孔。我们假设当 保持直立的立场将产生乘法互动的模块化网络，并增加 这些模块之间的连通性与稳定的站立相比。