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Abstract：
The way people imagine greatly affects performance of brain-computer interface (BCI) based on motion imagery (MI). Action sequence is a basic unit of imitation, learning, and memory for motor behavior. Whether it influences the MI-BCI is unknown, and how to manifest this influence is difficult since the MI is a spontaneous brain activity. To investigate the influence of the action sequence, this study proposes a novel paradigm named action sequences observing and delayed matching task to use images and videos to guide people to observe, match and reinforce the memory of sequence. Seven subjects\' ERPs and MI performance are analyzed under four different levels of complexities or orders of the sequence. Results demonstrated that the action sequence in terms of complexity and sequence order significantly affects the MI. The complex action in positive order obtains stronger ERD/ERS and more pronounced MI feature distributions, and yields an MI classification accuracy that is 12.3% higher than complex action in negative order (p < 0.05). In addition, the ERP amplitudes derived from the supplementary motor area show a positive correlation to the MI. This study demonstrates a new perspective of improving imagery in the MI-BCI by considering the complexity and order of the action sequences, and provides a novel index for manifesting the MI performance by ERP.
摘要：
人们想象的方式极大地影响了基于运动图像（MI）的脑机接口（BCI）的性能。动作序列是模仿的基本单位，学习,和对运动行为的记忆。它是否影响MI-BCI是未知的，如何表现这种影响是困难的，因为MI是一种自发的大脑活动。为了调查动作顺序的影响，本研究提出了一种新颖的范式，称为动作序列观察和延迟匹配任务，以使用图像和视频来引导人们进行观察。匹配并增强序列的记忆。在四个不同级别的复杂性或序列顺序下分析了七个受试者的ERP和MI表现。结果表明，就复杂性和序列顺序而言，作用序列显着影响MI。正序的复杂动作获得更强的ERD/ERS和更明显的MI特征分布，并产生比负序复杂作用高12.3%的MI分类准确度(p<0.05)。此外,从补充运动区域得出的ERP幅度与MI呈正相关。本研究通过考虑动作序列的复杂性和顺序，展示了改善MI-BCI图像的新视角。并提供了一个新的指标，用于通过ERP来体现MI绩效。
