Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Caution on causality analysis of ERP data

Authors
Jikan Xue, Sanqing Hu, Jianhai Zhang, Wanzeng Kong
Corresponding Author
Jikan Xue
Available Online December 2015.
DOI
https://doi.org/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.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
DOI
https://doi.org/10.2991/icmmcce-15.2015.135How to use a DOI?
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  -