Radboud University Nijmegen, Institute for Computing and Information Sciences, Nijmegen, The Netherlands.
Eur J Neurosci. 2010 Apr;31(8):1501-8. doi: 10.1111/j.1460-9568.2010.07174.x.
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.
虽然脑机接口 (BCI) 可用于控制外部设备,但它们也有望成为研究工作大脑的新工具。在这项研究中,我们研究了通过改变内隐注意力来调节大脑活动是否可以作为 BCI 的连续控制信号。内隐注意力是指在不改变注视方向的情况下,通过心理集中注意周围的感官刺激。在被试者暗中注视移动提示物并保持注视时,我们使用脑磁图记录持续的大脑活动。仅基于后 alpha 功率,就可以使用圆形回归来恢复被试者正在关注的方向。结果表明,在我们最好的被试者中,注意力角度可以以 51 度的平均绝对偏差进行预测。在被试者的平均值上,平均偏差约为 70 度。在信息传输率方面,用于恢复注意力方向的最佳数据长度被发现为 1700 毫秒;这导致最佳被试者的平均绝对偏差为 60 度。这些结果是在没有任何特定于被试者的特征选择的情况下获得的,并且不需要事先对被试者进行培训。我们的研究结果表明,由于内隐注意力的方向而引起的后 alpha 活动的调制具有作为 BCI 设置中连续控制的控制信号的潜力。我们的方法将有几个应用,包括脑控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被试者调节后 alpha 活动的能力。