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Covert Speech vs. Motor Imagery: a comparative study of class separability in identical environments

机译:隐秘语音与运动图像:在相同环境下班级可分离性的比较研究

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In this study a single experimental protocol and analysis pipeline is used: once for MI tasks, and once for covert speech tasks. The goal of this study is not to maximizing classification accuracy; rather the main objective is to provide an identical environment for both paradigms, while identifying the most important activities related to the most class dependent features. Four volunteers participated in this experiment. With four classes, the average classification accuracy for covert speech tasks is 82.5%, and for motor imagery is 77.2%. The average performance is significantly higher than chance level for both paradigms, suggesting that the results are meaningful, despite being imperfect. For motor imagery tasks the most important activities are the execution of imagined movements, and goal driven executive control for suppression of overt movements, which also occur for covert speech tasks. However, the most important activity for covert speech tasks is the linguistic processing stages of word production prior to articulation, which does not occur in motor imagery. These high-Gamma linguistic processes are extremely class dependent, which contribute to the higher performance of covert speech tasks, compared to motor imagery in an otherwise identical environment.
机译:在本研究中,使用了单个实验协议和分析管道:一次用于MI任务,一次用于秘密语音任务。这项研究的目的不是使分类准确性最大化。相反,主要目标是为两个范式提供相同的环境,同时确定与最依赖类的功能相关的最重要的活动。四名志愿者参加了该实验。对于四个类别,秘密语音任务的平均分类准确度为82.5%,运动图像的平均分类准确度为77.2%。两种范例的平均表现均显着高于机会水平,这表明尽管效果不理想,但结果还是有意义的。对于运动图像任务,最重要的活动是想象的动作的执行,以及目标驱动的执行控制,以抑制明显的动作,这也发生在秘密的语音任务中。但是,对于秘密语音任务而言,最重要的活动是在发音之前进行单词生成的语言处理阶段,这在运动图像中不会发生。这些高伽玛语言过程在很大程度上取决于类,与其他情况下相同的运动图像相比,它们有助于秘密语音任务的更高性能。

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