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Towards a system-paced near-infrared spectroscopy brain-computer interface: differentiating prefrontal activity due to mental arithmetic and mental singing from the no-control state

机译:迈向系统步调的近红外光谱脑-机接口:区分因心算和心歌引起的前额叶活动与无控制状态

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Near-infrared spectroscopy (NIRS) has recently been investigated as a non-invasive brain-computer interface (BCI) for individuals with severe motor impairments. For the most part, previous research has investigated the development of NIRS-BCIs operating under synchronous control paradigms, which require the user to exert conscious control over their mental activity whenever the system is vigilant. Though functional, this is mentally demanding and an unnatural way to communicate. An attractive alternative to the synchronous control paradigm is system-paced control, in which users are required to consciously modify their brain activity only when they wish to affect the BCI output, and can remain in a more natural, 'no-control' state at all other times. In this study, we investigated the feasibility of a system-paced NIRS-BCI with one intentional control (IC) state corresponding to the performance of either mental arithmetic or mental singing. In particular, this involved determining if these tasks could be distinguished, individually, from the unconstrained 'no-control' state. Deploying a dual-wavelength frequency domain near-infrared spectrometer, we interrogated nine sites around the frontopolar locations (International 10-20 System) while eight able-bodied adults performed mental arithmetic and mental singing to answer multiple-choice questions within a system-paced paradigm. With a linear classifier trained on a six-dimensional feature set, an overall classification accuracy of 71.2% across participants was achieved for the mental arithmetic versus no-control classification problem. While the mental singing versus no-control classification was less successful across participants (62.7% on average), four participants did attain accuracies well in excess of chance, three of which were above 70%. Analyses were performed offline. Collectively, these results are encouraging, and demonstrate the potential of a system-paced NIRS-BCI with one IC state corresponding to either mental arithmetic or mental singing.
机译:近红外光谱(NIRS)最近已作为一种针对严重运动障碍患者的非侵入性脑机接口(BCI)进行了研究。在大多数情况下,以前的研究已经研究了在同步控制范式下运行的NIRS-BCI的发展,这要求用户在系统保持警惕的情况下对其意识活动进行有意识的控制。尽管功能正常,但这在精神上是一种要求,也是一种不自然的交流方式。同步控制范式的一种有吸引力的替代方法是系统定速控制,其中要求用户仅在希望影响BCI输出时才有意识地改变其大脑活动,并可以保持更自然的“无控制”状态。所有其他时间。在这项研究中,我们调查了一种具有相应于心理算术或心理歌唱表现的故意控制(IC)状态的系统节奏NIRS-BCI的可行性。特别是,这涉及确定是否可以将这些任务分别与不受约束的“无控制”状态区分开。部署双波长频域近红外光谱仪,我们询问了正极位置(国际10-20系统)周围的9个地点,同时有8名身体健全的成年人进行了心理算术和心理唱歌,以在系统步调内回答多项选择题范例。通过对六维特征集进行训练的线性分类器,对于心算和无控制分类问题,参与者的总体分类精度达到71.2%。尽管参与者的心理歌唱和无控制分类不太成功(平均为62.7%),但四名参与者的准确率远远超过了机会,其中三名参与者的准确率超过了70%。分析是离线进行的。总的来说,这些结果令人鼓舞,并证明了系统步调的NIRS-BCI具有一种对应于心算或思维歌唱的IC状态的潜力。

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  • 来源
    《Journal of neural engineering》 |2011年第6期|p.17.1-17.14|共14页
  • 作者单位

    Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario,Canada,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada;

    Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario,Canada;

    Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario,Canada,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada;

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