Abstract:
The seemingly straightforward task of tying one\'s shoes requires a sophisticated interplay of joints, muscles, and neural pathways, posing a formidable challenge for researchers studying the intricacies of coordination. A widely accepted framework for measuring coordinated behavior is the Haken-Kelso-Bunz (HKB) model. However, a significant limitation of this model is its lack of accounting for the diverse variability structures inherent in the coordinated systems it frequently models. Variability is a pervasive phenomenon across various biological and physical systems, and it changes in healthy adults, older adults, and pathological populations. Here, we show, both empirically and with simulations, that manipulating the variability in coordinated movements significantly impacts the ability to change coordination patterns-a fundamental feature of the HKB model. Our results demonstrate that synchronized bimanual coordination, mirroring a state of healthy variability, instigates earlier transitions of coordinated movements compared to other variability conditions. This suggests a heightened adaptability when movements possess a healthy variability. We anticipate our study to show the necessity of adapting the HKB model to encompass variability, particularly in predictive applications such as neuroimaging, cognition, skill development, biomechanics, and beyond.
摘要:
系鞋带这个看似简单的任务需要复杂的关节相互作用,肌肉,和神经通路,对研究协调复杂性的研究人员构成了巨大的挑战。用于测量协调行为的广泛接受的框架是Haken-Kelso-Bunz(HKB)模型。然而,该模型的一个重要限制是它缺乏对它经常建模的协调系统固有的多样化的可变性结构的解释。变异性是各种生物和物理系统中普遍存在的现象,它在健康的成年人身上发生了变化,老年人,和病理人群。这里,我们展示,无论是凭经验还是通过模拟,操纵协调运动的可变性会显着影响改变协调模式的能力-HKB模型的基本特征。我们的结果表明,同步双向协调,反映了健康的变异性状态,与其他变异性条件相比,可以促进协调运动的更早过渡。这表明,当运动具有健康的变异性时,适应性会增强。我们预计我们的研究表明调整HKB模型以包含变异性的必要性,特别是在神经成像等预测应用中,认知,技能发展,生物力学,和超越。