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(C)overt attention and visual speller design in an ERP-based brain-computer interface

机译:(C)基于ERP的脑机界面中的过度注意和视觉拼写设计

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Background In a visual oddball paradigm, attention to an event usually modulates the event-related potential (ERP). An ERP-based brain-computer interface (BCI) exploits this neural mechanism for communication. Hitherto, it was unclear to what extent the accuracy of such a BCI requires eye movements (overt attention) or whether it is also feasible for targets in the visual periphery (covert attention). Also unclear was how the visual design of the BCI can be improved to meet peculiarities of peripheral vision such as low spatial acuity and crowding. Method Healthy participants (N = 13) performed a copy-spelling task wherein they had to count target intensifications. EEG and eye movements were recorded concurrently. First, (c)overt attention was investigated by way of a target fixation condition and a central fixation condition. In the latter, participants had to fixate a dot in the center of the screen and allocate their attention to a target in the visual periphery. Second, the effect of visual speller layout was investigated by comparing the symbol Matrix to an ERP-based Hex-o-Spell, a two-levels speller consisting of six discs arranged on an invisible hexagon. Results We assessed counting errors, ERP amplitudes, and offline classification performance. There is an advantage (i.e., less errors, larger ERP amplitude modulation, better classification) of overt attention over covert attention, and there is also an advantage of the Hex-o-Spell over the Matrix. Using overt attention, P1, N1, P2, N2, and P3 components are enhanced by attention. Using covert attention, only N2 and P3 are enhanced for both spellers, and N1 and P2 are modulated when using the Hex-o-Spell but not when using the Matrix. Consequently, classifiers rely mainly on early evoked potentials in overt attention and on later cognitive components in covert attention. Conclusions Both overt and covert attention can be used to drive an ERP-based BCI, but performance is markedly lower for covert attention. The Hex-o-Spell outperforms the Matrix, especially when eye movements are not permitted, illustrating that performance can be increased if one accounts for peculiarities of peripheral vision.
机译:背景技术在视觉奇异球范例中,对事件的关注通常会调节与事件相关的电位(ERP)。基于ERP的脑机接口(BCI)利用这种神经机制进行通信。到目前为止,尚不清楚这种BCI的准确性在多大程度上需要眼睛运动(过度注意),或者对于视觉外围的目标是否也可行(秘密注意)。还不清楚如何改善BCI的视觉设计,以满足周围视觉的特殊性,例如低空间敏锐度和拥挤感。方法健康的参与者(N = 13)执行了拼写任务,其中他们必须计算目标强度。同时记录脑电图和眼球运动。首先,(c)通过目标注视条件和中央注视条件调查了过度注意。在后者中,参与者必须将点固定在屏幕中央,然后将注意力分配到视觉外围的目标上。其次,通过将符号矩阵与基于ERP的Hex-o-Spell(一种由六个排列在不可见六边形上的六个圆盘组成的两层拼写器)进行比较,研究了视觉拼写器布局的影响。结果我们评估了计数误差,ERP幅度和离线分类性能。相对于隐秘注意力,显性注意力有一个优势(即,更少的错误,更大的ERP幅度调制,更好的分类),并且与矩阵相比,Hex-o-Spell还具有优势。通过公开注意,注意力可以增强P1,N1,P2,N2和P3组件。使用秘密注意,两个拼写器仅增强了N2和P3,使用Hex-o-Spell时调制了N1和P2,而使用矩阵时则不进行调制。因此,分类器主要依靠在公开注意力中早期诱发的潜能,而在秘密注意力中依赖后期的认知成分。结论公开和秘密注意都可以用于驱动基于ERP的BCI,但是对于秘密注意,性能明显较低。 Hex-o-Spell胜过Matrix,特别是在不允许眼睛运动的情况下,这说明如果考虑到周围视觉的特殊性,可以提高性能。

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