Knowledge Commons of Institute of Automation,CAS
Application of Granger Causality in Decoding Covert Selective Attention with Human EEG | |
Weikun Niu; Yuying Jiang; Yujin Zhang; Xin Zhang; Shan Yu | |
2019 | |
会议名称 | 2019 4th International Conference on Biomedical Signal and Image Processing (ICBIP 2019) |
会议日期 | August 13-15, 2019 |
会议地点 | Chengdu, China |
出版者 | ACM Digital Library |
摘要 | Electroencephalography (EEG)-based BCIs have experienced a significant growth in recent years, especially the passive Brain Computer Interfaces (BCIs) with a wide application in the detection of cognitive and emotional states. But it is still unclear whether more subtle states, e.g., covert selective attention can be decoded with EEG signals. Here we used a behavioral paradigm to introduce the shift of selective attention between the visual and auditory domain. With EEG signals, we extracted features based on Grange Causality (GC) and successfully decoded the attentional shift through a support vector machine (SVM) based classifier. The decoding accuracy was significantly above the chance level for all 8 subjects tested. The features based on GC were further analyzed with tree-based feature importance analysis and recursive feature elimination (RFE) method to search for the optimal features for classification. Our work demonstrate that specific patterns of brain activities reflected by GC can be used to decode subtle state changes of the brain related to cross-modal selective attention, which opens new possibility of using passive BCIs in sophisticated perceptual and cognitive tasks. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 医学影像处理与分析 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23237 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Yujin Zhang; Shan Yu |
作者单位 | 中科院自动化所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Weikun Niu,Yuying Jiang,Yujin Zhang,et al. Application of Granger Causality in Decoding Covert Selective Attention with Human EEG[C]:ACM Digital Library,2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Niu et al_ICBIP_C000(701KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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