Modeling of hyper-adaptability: from motor coordination to rehabilitation

Modeling of hyper-adaptability: from motor coordination to rehabilitation
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DOI:
10.1080/01691864.2021.1943710
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发表时间:
2021-06-24
期刊:
影响因子:
2
通讯作者:
An, Qi
An, Qi
中科院分区:
计算机科学4区
文献类型:
--
作者:
Eberle, Harry;Hayashi, Yoshikatsu;An, Qi

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超适应性是人类和动物适应神经系统或肌肉骨骼系统大规模变化的能力,如中风和脊髓损伤。虽然这种适应可能涉及类似的神经过程,正常适应日常生活中的环境和身体变化,但它可能是根本不同的,因为它需要神经结构本身的“构建”和感觉运动控制规则的“重建”来补偿神经系统的变化。在这篇调查论文中,我们旨在概述脑损伤后大脑结构如何变化,并通过康复进行恢复。接下来,我们展示了最近用于应用计算和神经网络建模来概括运动控制和运动学习过程的方法。最后,我们讨论了未来的方向,以弥合传统的生理和建模方法之间的差距差距,以了解超适应性的神经和计算机制及其在临床康复中的应用。
Hyper-adaptability is an ability of humans and animals to adapt to large-scale changes in the nervous system or the musculoskeletal system, such as strokes and spinal cord injuries. Although this adaptation may involve similar neural processes with normal adaptation to usual environmental and body changes in daily lives, it can be fundamentally different because it requires 'construction' of the neural structure itself and 'reconstitution' of sensorimotor control rules to compensate for the changes in the nervous system. In this survey paper, we aimed to provide an overview on how the brain structure changes after brain injury and recovers through rehabilitation. Next, we demonstrated the recent approaches used to apply computational and neural network modeling to recapitulate motor control and motor learning processes. Finally, we discussed future directions to bridge the gap between conventional physiological and modeling approaches to understand the neural and computational mechanisms of hyper-adaptability and its applications to clinical rehabilitation.