...
首页> 外文期刊>Journal of NeuroEngineering Rehabilitation >Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention
【24h】

Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention

机译:脑计算机接口使用注意力的秘密转移引起的α活动的调制

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Background Visual brain-computer interfaces (BCIs) often yield high performance only when targets are fixated with the eyes. Furthermore, many paradigms use intense visual stimulation, which can be irritating especially in long BCI sessions. However, BCIs can more directly directly tap the neural processes underlying visual attention. Covert shifts of visual attention induce changes in oscillatory alpha activity in posterior cortex, even in the absence of visual stimulation. The aim was to investigate whether different pairs of directions of attention shifts can be reliably differentiated based on the electroencephalogram. To this end, healthy participants (N = 8) had to strictly fixate a central dot and covertly shift visual attention to one out of six cued directions. Results Covert attention shifts induced a prolonged alpha synchronization over posterior electrode sites (PO and O electrodes). Spectral changes had specific topographies so that different pairs of directions could be differentiated. There was substantial variation across participants with respect to the direction pairs that could be reliably classified. Mean accuracy for the best-classifiable pair amounted to 74.6%. Furthermore, an alpha power index obtained during a relaxation measurement showed to be predictive of peak BCI performance (r = .66). Conclusions Results confirm posterior alpha power modulations as a viable input modality for gaze-independent EEG-based BCIs. The pair of directions yielding optimal performance varies across participants. Consequently, participants with low control for standard directions such as left-right might resort to other pairs of directions including top and bottom. Additionally, a simple alpha index was shown to predict prospective BCI performance.
机译:背景技术视觉脑机接口(BCI)通常仅在将目标固定在眼睛上时才能产生高性能。此外,许多范例都使用强烈的视觉刺激,特别是在长时间的BCI疗程中,这可能会很刺激。但是,BCI可以更直接地利用视觉注意基础的神经过程。即使没有视觉刺激,视觉注意力的隐蔽转移也会引起后皮质振荡α活动的变化。目的是研究根据脑电图能否可靠地区分不同的注意力转移方向对。为此,健康的参与者(N = 8)必须严格固定中心点,并秘密将视觉注意力转移到六个提示方向之一。结果隐秘的注意力转移在后电极部位(PO和O电极)上引起了长时间的α同步。光谱变化具有特定的地形,因此可以区分不同的方向。可以可靠分类的方向对在参与者之间存在很大差异。最佳分类对的平均准确度为74.6%。此外,在弛豫测量过程中获得的α功率指数表明可以预测BCI峰值性能(r = 0.66)。结论结果证实了后视α功率调制作为基于注视的基于EEG的BCI的可行输入方式。产生最佳性能的一对方向因参与者而异。因此,对标准方向(如左右)控制程度较低的参与者可能会求助于其他方向对,包括上下两个方向。此外,显示了一个简单的alpha指数可以预测预期的BCI表现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号