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Network analysis of bodywide coordination supporting suprapostural dexterity

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
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-08-01 至 2024-07-31

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中文摘要
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英文摘要
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.
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