Krigolson Olav E, Cheng Darian, Binsted Gord
School of Exercise Science, Physical, and Health Education, University of Victoria, Canada.
School of Health and Exercise Sciences, University of British Columbia, Canada.
Vision Res. 2015 May;110(Pt B):277-85. doi: 10.1016/j.visres.2014.12.024. Epub 2015 Jan 31.
Traditionally our understanding of goal-directed action been derived from either behavioral findings or neuroanatomically derived imaging (i.e., fMRI). While both of these approaches have proven valuable, they lack the ability to determine a direct locus of function while concurrently having the necessary temporal precision needed to understand millisecond scale neural interactions respectively. In this review we summarize some seminal behavioral findings across three broad areas (target perturbation, feed-forward control, and feedback processing) and for each discuss the application of electroencephalography (EEG) to the understanding of the temporal nature of visual cue utilization during movement planning, control, and learning using four existing scalp potentials. Specifically, we examine the appropriateness of using the N100 potential as an indicator of corrective behaviors in response to target perturbation, the N200 as an index of movement planning, the P300 potential as a metric of feed-forward processes, and the feedback-related negativity as an index of motor learning. Although these existing components have potential for insight into cognitive contributions and the timing of the neural processes that contribute to motor control further research is needed to expand the control-related potentials and to develop methods to permit their accurate characterization across a wide range of behavioral tasks.
传统上,我们对目标导向行为的理解要么来自行为学研究结果,要么来自神经解剖学成像(即功能磁共振成像)。虽然这两种方法都已证明具有价值,但它们缺乏确定直接功能位点的能力,同时也缺乏分别理解毫秒级神经相互作用所需的必要时间精度。在这篇综述中,我们总结了在三个广泛领域(目标扰动、前馈控制和反馈处理)的一些开创性行为学研究结果,并针对每个领域讨论了脑电图(EEG)在利用四种现有的头皮电位理解运动规划、控制和学习过程中视觉线索利用的时间特性方面的应用。具体而言,我们研究了使用N100电位作为响应目标扰动的纠正行为指标、N200作为运动规划指标、P300电位作为前馈过程指标以及反馈相关负波作为运动学习指标的适用性。尽管这些现有成分有潜力深入了解认知贡献以及对运动控制有贡献的神经过程的时间,但仍需要进一步研究来扩展与控制相关的电位,并开发方法以在广泛的行为任务中准确表征它们。