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首页> 外文期刊>The European Journal of Neuroscience >Covert attention allows for continuous control of brain-computer interfaces.
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Covert attention allows for continuous control of brain-computer interfaces.

机译:秘密注意可以连续控制脑机接口。

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摘要

While brain-computer interfaces (BCIs) can be used for controlling external devices, they also hold the promise of providing a new tool for studying the working brain. In this study we investigated whether modulations of brain activity by changes in covert attention can be used as a continuous control signal for BCI. Covert attention is the act of mentally focusing on a peripheral sensory stimulus without changing gaze direction. The ongoing brain activity was recorded using magnetoencephalography in subjects as they covertly attended to a moving cue while maintaining fixation. Based on posterior alpha power alone, the direction to which subjects were attending could be recovered using circular regression. Results show that the angle of attention could be predicted with a mean absolute deviation of 51 degrees in our best subject. Averaged over subjects, the mean deviation was approximately 70 degrees. In terms of information transfer rate, the optimal data length used for recovering the direction of attention was found to be 1700 ms; this resulted in a mean absolute deviation of 60 degrees for the best subject. The results were obtained without any subject-specific feature selection and did not require prior subject training. Our findings demonstrate that modulations of posterior alpha activity due to the direction of covert attention has potential as a control signal for continuous control in a BCI setting. Our approach will have several applications, including a brain-controlled computer mouse and improved methods for neuro-feedback that allow direct training of subjects' ability to modulate posterior alpha activity.
机译:虽然脑机接口(BCI)可用于控制外部设备,但它们也有望为研究工作的大脑提供新的工具。在这项研究中,我们调查了秘密活动的改变对大脑活动的调节是否可以用作BCI的连续控制信号。秘密注意是在精神上专注于外围感觉刺激而不改变注视方向的行为。当受试者在保持固定状态的情况下暗中观察运动提示时,使用脑磁图记录了正在进行的大脑活动。仅基于后验α屈光力,就可以使用循环回归来恢复受试者参加的方向。结果表明,在我们最好的受试者中,可以预测出注意角的平均绝对偏差为51度。对受试者平均,平均偏差约为70度。在信息传输速率方面,发现用于恢复注意力方向的最佳数据长度为1700毫秒;这导致最佳主体的平均绝对偏差为60度。无需选择任何特定于受试者的特征即可获得结果,并且不需要事先进行受试者培训。我们的发现表明,由于秘密注意的方向而导致的后α活动的调节具有作为BCI设置中连续控制的控制信号的潜力。我们的方法将有多种应用,包括大脑控制的计算机鼠标和改进的神经反馈方法,这些方法可以直接训练受试者调节后α活动的能力。

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