Toward a minimally invasive brain-computer interface using a single subdural channel: A visual speller study
Toward a minimally invasive brain-computer interface using a single subdural channel: A visual speller study
复制标题
使用单个硬膜下通道的微创脑机接口：视觉拼写器研究
DOI：
10.1016/j.neuroimage.2012.12.069
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发表时间：
2013-05-01
期刊：
影响因子：
5.7
通讯作者：
Hong, Bo
中科院分区：
文献类型：
--
作者：
Zhang, Dan;Song, Huaying;Hong, Bo
在过去的十年中，皮层电图（ECoG）已经吸引了越来越多的兴趣，以实现先进的脑机接口（BCI）。然而，ECoG BCI的实际应用需要通过最小化所涉及的大脑区域的大小和植入电极的数量来减轻其侵入性。在这项研究中，我们采用了最近提出的BCI范式，利用视觉运动反应的注意调制。从5例癫痫患者的ECoG数据中，发现高伽马（60-140 Hz）频率范围的功率增加与顶颞枕交界处和枕叶皮质中明显关注的移动视觉刺激相关。事件相关电位（ERPs）也被引出，但具有更广泛的皮质分布。我们通过使用来自单个ECoG电极的高伽马和ERP响应，比仅使用ERP响应获得了显著更高的BCI分类准确性（84.22 +/- 5.54% vs. 75.48 +/-4.18%，p
Electrocorticography (ECoG) has attracted increasing interest for implementing advanced brain-computer interfaces (BCIs) in the past decade. However, real-life application of ECoG BCI demands mitigation of its invasive nature by minimizing both the size of the involved brain regions and the number of implanted electrodes. In this study, we employed a recently proposed BCI paradigm that utilizes the attentional modulation of visual motion response. With ECoG data collected from five epilepsy patients, power increase of the high gamma (60-140 Hz) frequency range was found to be associated with the overtly attended moving visual stimuli in the parietal-temporal-occipital junction and the occipital cortex. Event-related potentials (ERPs) were elicited as well but with broader cortical distribution. We achieved significantly higher BCI classification accuracy by employing both high gamma and ERP responses from a single ECoG electrode than by using ERP responses only (84.22 +/- 5.54% vs. 75.48 +/- 4.18%, p