Caution on causality analysis of ERP data

DOI

10.2991/icmmcce-15.2015.135How to use a DOI?

Keywords

Granger causality, New causality, Event-Related Potential.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 670
EP  - 674
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.135
DO  - 10.2991/icmmcce-15.2015.135
ID  - Xue2015/12
ER  -