Proposal of a combined optoelectronic and electroencephalographic method for the study of kinematic and neural correlates of Motor Adaptation

E. Molteni, E. Preatoni, V. Cimolin, A. Bianchi, R. Rodano, M. Galli, S. Cerutti
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Abstract

The aim of this work was to design a protocol for the multifactorial assessment of the different sub-functions Motor Learning involves (e.g. planning, execution, correction, …). Attention was focused onto the issue of Motor Adaptation (MA), which occurs when a partial (but not complete) learning of a new motor strategy is needed. Indeed, motor learning is defined as the type of learning in which motor commands are altered to compensate for disturbances in the external environment. We hereby present a report about the methodological set-up which has been developed and tested for the investigation of motor adaptation during repetitive pointing tasks. We exploited the potentialities of the combined use of electroencephalographic and motion analysis techniques to find possible relation between the activity of the central nervous system and the neuro-musculo-skeletal one. The adaptation-related changes in oscillatory brain activity and movement kinematics were monitored during a visually-guided, feedback-controlled, sequence of pointing tasks. Our preliminary results suggest that the proposed protocol: (i) can discern modifications of brain activity in the alpha and beta frequency bands; (ii) is sensible to kinematic alterations; and, (iii), allows a quantitative evaluation of performance in terms of both final result and motor patterns. In this work we identified a bunch of possible neuro-motor biomarkers, which we propose as possible indicators of adaptation.
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提出一种结合光电和脑电图的方法来研究运动适应的运动学和神经相关
本研究的目的是为运动学习涉及的不同子功能(如计划、执行、纠正等)设计一个多因素评估方案。当需要部分(但不是完全)学习一种新的运动策略时,就会出现运动适应问题。事实上,运动学习被定义为一种学习类型,其中运动命令被改变以补偿外部环境的干扰。我们在此提出了一份关于方法设置的报告,该方法已经开发并测试了重复指向任务期间运动适应的调查。我们利用脑电图和运动分析技术相结合的潜力来发现中枢神经系统和神经-肌肉-骨骼活动之间可能的关系。在视觉引导、反馈控制的指向任务序列中,监测了振荡脑活动和运动运动学的适应相关变化。我们的初步结果表明,所提出的方案:(i)可以识别大脑活动在α和β频段的变化;(ii)对运动变化是敏感的;并且,(iii),允许在最终结果和运动模式方面对性能进行定量评估。在这项工作中,我们确定了一堆可能的神经运动生物标志物,我们认为它们可能是适应的指标。
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