Caution on causality analysis of ERP data
- Jikan Xue, Sanqing Hu, Jianhai Zhang, Wanzeng Kong
- Corresponding Author
- Jikan Xue
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.135How to use a DOI?
- Granger causality, New causality, Event-Related Potential.
- The event-related potential (ERP) technique is one of the most widely used methods in cognitive neuroscience research to study the physiological correlates of sensory, perceptual and cognitive activity associated with processing information [1,2]. An ERP eeg segment data usually involves three subsegments: pre-stimulus,stimulus and post-stimulus. Obviously, the mathematic models for pre-stimulus (or post-stimulus) and stimulus should be different. However, the general approach for ERP analysis in the literature always views the whole segment data as one model. In this paper we use Granger causality (GC) and recently proposed New causality (NC) methods to demonstrate that NC is more sensitive than GC to reveal true causality influence based on ERP data.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jikan Xue AU - Sanqing Hu AU - Jianhai Zhang AU - Wanzeng Kong PY - 2015/12 DA - 2015/12 TI - Caution on causality analysis of ERP data BT - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering PB - Atlantis Press UR - https://doi.org/10.2991/icmmcce-15.2015.135 DO - https://doi.org/10.2991/icmmcce-15.2015.135 ID - Xue2015/12 ER -