Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention.
Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention.
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DOI：
10.1186/1743-0003-8-24
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发表时间：
2011-05-05
影响因子：
5.1
通讯作者：
Blankertz B
中科院分区：
文献类型：
--
作者：
Treder MS;Bahramisharif A;Schmidt NM;van Gerven MA;Blankertz B
视觉脑机接口（BCI）通常只有在目标被眼睛注视时才能产生高性能。此外，许多范例使用强烈的视觉刺激，这可能是刺激性的，特别是在长时间的BCI会话中。然而，脑机接口可以更直接地挖掘视觉注意力背后的神经过程。即使在没有视觉刺激的情况下，视觉注意的内隐转移也会引起后皮层振荡α活动的变化。目的是调查是否可以可靠地区分不同对的方向的注意力转移的脑电图的基础上。为此，健康的参与者（N = 8）必须严格注视中心点，并秘密地将视觉注意力转移到六个提示方向中的一个。内隐注意力转移诱导后电极部位（PO和O电极）的α同步延长。光谱变化具有特定的地形，因此可以区分不同的方向对。有很大的变化，在参与者方面的方向对，可以可靠地分类。最佳分类对的平均准确率为74.6%。此外，在松弛测量期间获得的α功率指数显示出对峰值BCI性能的预测（r = 0.66）。结果证实后α功率调制作为一个可行的输入方式，凝视独立的EEG为基础的脑机接口。产生最佳表现的两个方向因参与者而异。因此，对标准方向（如左-右）控制力较低的参与者可能会求助于其他方向对，包括顶部和底部。此外，一个简单的α指数被证明可以预测未来的BCI性能。
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. 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). 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.
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影响因子：
4.3
作者：
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通讯作者：
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